Publisher: Springer-Verlag (Total: 2626 journals)

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Showing 1 - 200 of 2626 Journals sorted by number of followers
Information Retrieval     Hybrid Journal   (Followers: 797, SJR: 0.352, CiteScore: 2)
Intl. J. on Digital Libraries     Hybrid Journal   (Followers: 784, SJR: 0.441, CiteScore: 2)
Trends in Organized Crime     Hybrid Journal   (Followers: 541, SJR: 0.26, CiteScore: 1)
Crime, Law and Social Change     Hybrid Journal   (Followers: 504, SJR: 0.357, CiteScore: 1)
J. of Police and Criminal Psychology     Hybrid Journal   (Followers: 432, SJR: 0.35, CiteScore: 1)
Diabetologia     Hybrid Journal   (Followers: 346, SJR: 3.228, CiteScore: 5)
Innovative Higher Education     Hybrid Journal   (Followers: 322, SJR: 0.586, CiteScore: 1)
Natural Hazards     Hybrid Journal   (Followers: 305, SJR: 0.767, CiteScore: 2)
Gyroscopy and Navigation     Hybrid Journal   (Followers: 252, SJR: 0.292, CiteScore: 1)
Biodiversity and Conservation     Open Access   (Followers: 244, SJR: 1.243, CiteScore: 3)
Dysphagia     Hybrid Journal   (Followers: 204, SJR: 0.99, CiteScore: 2)
Higher Education     Hybrid Journal   (Followers: 201, SJR: 1.782, CiteScore: 2)
Pharmaceutical Research     Hybrid Journal   (Followers: 188, SJR: 1.077, CiteScore: 3)
Archives and Museum Informatics     Hybrid Journal   (Followers: 184, SJR: 0.101, CiteScore: 0)
European J. of Information Systems     Hybrid Journal   (Followers: 173, SJR: 1.628, CiteScore: 4)
Crime Prevention and Community Safety     Hybrid Journal   (Followers: 165, SJR: 0.268, CiteScore: 1)
Space Science Reviews     Hybrid Journal   (Followers: 95, SJR: 3.262, CiteScore: 7)
J. of Autism and Developmental Disorders     Hybrid Journal   (Followers: 91, SJR: 1.81, CiteScore: 4)
Intensive Care Medicine     Hybrid Journal   (Followers: 77, SJR: 3.293, CiteScore: 4)
Ethics and Information Technology     Hybrid Journal   (Followers: 72, SJR: 0.512, CiteScore: 2)
Education and Information Technologies     Hybrid Journal   (Followers: 71, SJR: 0.403, CiteScore: 1)
Archival Science     Hybrid Journal   (Followers: 70, SJR: 0.745, CiteScore: 2)
Applied Microbiology and Biotechnology     Hybrid Journal   (Followers: 70, SJR: 1.182, CiteScore: 4)
Landscape Ecology     Hybrid Journal   (Followers: 66, SJR: 1.858, CiteScore: 4)
European J. of Law and Economics     Hybrid Journal   (Followers: 65, SJR: 0.375, CiteScore: 1)
J. of Archaeological Method and Theory     Hybrid Journal   (Followers: 64, SJR: 2.014, CiteScore: 3)
Marine Biology     Hybrid Journal   (Followers: 63, SJR: 1.085, CiteScore: 2)
Climatic Change     Open Access   (Followers: 62, SJR: 2.035, CiteScore: 4)
J. of Information Technology     Hybrid Journal   (Followers: 61, SJR: 1.752, CiteScore: 4)
Machine Learning     Hybrid Journal   (Followers: 60, SJR: 0.695, CiteScore: 3)
Research in Higher Education     Hybrid Journal   (Followers: 60, SJR: 1.702, CiteScore: 2)
Educational Technology Research and Development     Partially Free   (Followers: 60)
J. of Experimental Criminology     Hybrid Journal   (Followers: 59, SJR: 2.639, CiteScore: 4)
Cambridge journal of evidence-based policing     Hybrid Journal   (Followers: 58)
Oecologia     Hybrid Journal   (Followers: 58, SJR: 1.695, CiteScore: 3)
J. of the Indian Society of Remote Sensing     Hybrid Journal   (Followers: 57, SJR: 0.337, CiteScore: 1)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 57, SJR: 1.09, CiteScore: 1)
J. of Business Ethics     Hybrid Journal   (Followers: 56, SJR: 1.276, CiteScore: 3)
Intl. J. for Philosophy of Religion     Hybrid Journal   (Followers: 56, SJR: 0.354, CiteScore: 0)
Experimental Techniques     Hybrid Journal   (Followers: 54, SJR: 0.296, CiteScore: 1)
Earth, Moon, and Planets     Hybrid Journal   (Followers: 54, SJR: 0.63, CiteScore: 1)
Applied Composite Materials     Hybrid Journal   (Followers: 53, SJR: 0.58, CiteScore: 2)
J. of Archaeological Research     Hybrid Journal   (Followers: 50, SJR: 2.159, CiteScore: 4)
Advances in Polymer Science     Hybrid Journal   (Followers: 50, SJR: 1.04, CiteScore: 3)
Memory & Cognition     Hybrid Journal   (Followers: 49, SJR: 1.379, CiteScore: 2)
J. of Earth System Science     Open Access   (Followers: 49, SJR: 0.366, CiteScore: 1)
Canadian J. of Anesthesia/J. canadien d'anesth├ęsie     Hybrid Journal   (Followers: 48, SJR: 0.908, CiteScore: 2)
European J. of Applied Physiology     Hybrid Journal   (Followers: 48, SJR: 1.186, CiteScore: 2)
J. of Astrophysics and Astronomy     Open Access   (Followers: 48, SJR: 0.266, CiteScore: 0)
Environmental Management     Open Access   (Followers: 48, SJR: 0.921, CiteScore: 2)
Contemporary Political Theory     Hybrid Journal   (Followers: 48, SJR: 0.331, CiteScore: 0)
Intl. J. of Historical Archaeology     Hybrid Journal   (Followers: 47, SJR: 0.427, CiteScore: 1)
J. of Intl. Business Studies     Hybrid Journal   (Followers: 45, SJR: 5.198, CiteScore: 7)
Demography     Hybrid Journal   (Followers: 44, SJR: 2.345, CiteScore: 3)
Astrophysics and Space Science     Hybrid Journal   (Followers: 44, SJR: 0.616, CiteScore: 1)
Water Resources Management     Open Access   (Followers: 43, SJR: 1.185, CiteScore: 3)
Bulletin of Materials Science     Open Access   (Followers: 43, SJR: 0.31, CiteScore: 1)
Comparative European Politics     Hybrid Journal   (Followers: 43, SJR: 1.24, CiteScore: 2)
IMF Economic Review     Hybrid Journal   (Followers: 42, SJR: 3.287, CiteScore: 2)
Qualitative Sociology     Hybrid Journal   (Followers: 42, SJR: 0.984, CiteScore: 1)
Advances in Atmospheric Sciences     Hybrid Journal   (Followers: 42, SJR: 0.956, CiteScore: 2)
Climate Dynamics     Hybrid Journal   (Followers: 42, SJR: 2.445, CiteScore: 4)
Applied Biochemistry and Biotechnology     Hybrid Journal   (Followers: 42, SJR: 0.571, CiteScore: 2)
J. of Family Violence     Hybrid Journal   (Followers: 41, SJR: 0.679, CiteScore: 1)
Metallurgical and Materials Transactions A     Hybrid Journal   (Followers: 41, SJR: 1.093, CiteScore: 2)
European Political Science     Hybrid Journal   (Followers: 41, SJR: 0.25, CiteScore: 0)
Foundations of Physics     Hybrid Journal   (Followers: 41, SJR: 0.454, CiteScore: 1)
Educational Psychology Review     Hybrid Journal   (Followers: 41, SJR: 2.204, CiteScore: 4)
Scientometrics     Hybrid Journal   (Followers: 40, SJR: 1.125, CiteScore: 3)
Economia Politica     Hybrid Journal   (Followers: 40, SJR: 0.277, CiteScore: 1)
Mindfulness     Hybrid Journal   (Followers: 40, SJR: 1.132, CiteScore: 3)
Data Mining and Knowledge Discovery     Hybrid Journal   (Followers: 40, SJR: 0.864, CiteScore: 4)
Intl. J. of Earth Sciences     Hybrid Journal   (Followers: 40, SJR: 1.125, CiteScore: 2)
European J. of Nutrition     Hybrid Journal   (Followers: 39, SJR: 1.408, CiteScore: 3)
Experimental Astronomy     Hybrid Journal   (Followers: 38, SJR: 0.908, CiteScore: 2)
J. of World Prehistory     Hybrid Journal   (Followers: 38, SJR: 2.022, CiteScore: 3)
European J. of Health Economics     Hybrid Journal   (Followers: 38, SJR: 1.153, CiteScore: 2)
Environmental Monitoring and Assessment     Hybrid Journal   (Followers: 38, SJR: 0.589, CiteScore: 2)
Environment, Development and Sustainability     Hybrid Journal   (Followers: 38, SJR: 0.392, CiteScore: 1)
Aquatic Ecology     Hybrid Journal   (Followers: 38, SJR: 0.656, CiteScore: 2)
Behavioral Ecology and Sociobiology     Hybrid Journal   (Followers: 38, SJR: 1.323, CiteScore: 2)
Metal Science and Heat Treatment     Hybrid Journal   (Followers: 37, SJR: 0.279, CiteScore: 0)
Annals of Finance     Hybrid Journal   (Followers: 37, SJR: 0.579, CiteScore: 1)
European J. of Clinical Microbiology & Infectious Diseases     Hybrid Journal   (Followers: 37, SJR: 1.312, CiteScore: 3)
Advances in Health Sciences Education     Hybrid Journal   (Followers: 36, SJR: 1.64, CiteScore: 2)
Intl. Politics     Hybrid Journal   (Followers: 35, SJR: 0.728, CiteScore: 1)
European J. of Epidemiology     Hybrid Journal   (Followers: 35, SJR: 3.228, CiteScore: 6)
J. of Thrombosis and Thrombolysis     Hybrid Journal   (Followers: 35, SJR: 0.991, CiteScore: 2)
JOM J. of the Minerals, Metals and Materials Society     Hybrid Journal   (Followers: 35, SJR: 1.054, CiteScore: 2)
Forensic Science, Medicine, and Pathology     Hybrid Journal   (Followers: 35, SJR: 0.695, CiteScore: 1)
Solar Physics     Hybrid Journal   (Followers: 34, SJR: 1.517, CiteScore: 3)
Reviews in Fish Biology and Fisheries     Open Access   (Followers: 34, SJR: 1.8, CiteScore: 4)
Accreditation and Quality Assurance: J. for Quality, Comparability and Reliability in Chemical Measurement     Hybrid Journal   (Followers: 34, SJR: 0.316, CiteScore: 1)
Biotechnology Letters     Hybrid Journal   (Followers: 34, SJR: 0.621, CiteScore: 2)
Italian Economic J.     Hybrid Journal   (Followers: 33, SJR: 0.181, CiteScore: 0)
J. of Economic Growth     Hybrid Journal   (Followers: 33, SJR: 5.529, CiteScore: 5)
Political Behavior     Hybrid Journal   (Followers: 33, SJR: 2.708, CiteScore: 2)
Ecosystems     Hybrid Journal   (Followers: 33, SJR: 2.081, CiteScore: 4)
Child and Adolescent Social Work J.     Hybrid Journal   (Followers: 33, SJR: 0.444, CiteScore: 1)
J. of the American Society for Mass Spectrometry     Hybrid Journal   (Followers: 32, SJR: 1.058, CiteScore: 3)
Metallurgical and Materials Transactions B     Hybrid Journal   (Followers: 32)
J. of Risk and Uncertainty     Hybrid Journal   (Followers: 32, SJR: 1.471, CiteScore: 2)
AAPS J.     Hybrid Journal   (Followers: 32, SJR: 1.118, CiteScore: 4)
Academic Psychiatry     Full-text available via subscription   (Followers: 32, SJR: 0.53, CiteScore: 1)
J. of Quantitative Criminology     Hybrid Journal   (Followers: 32, SJR: 3.562, CiteScore: 4)
American J. of Community Psychology     Hybrid Journal   (Followers: 32, SJR: 1.329, CiteScore: 2)
Analytical and Bioanalytical Chemistry     Hybrid Journal   (Followers: 32, SJR: 0.978, CiteScore: 3)
Der Onkologe     Hybrid Journal   (Followers: 32, SJR: 0.119, CiteScore: 0)
Australian Educational Researcher     Hybrid Journal   (Followers: 31, SJR: 0.675, CiteScore: 1)
Higher Education Policy     Hybrid Journal   (Followers: 31, SJR: 0.652, CiteScore: 1)
Motivation and Emotion     Hybrid Journal   (Followers: 31, SJR: 1.136, CiteScore: 2)
J. of Population Economics     Hybrid Journal   (Followers: 31, SJR: 1.574, CiteScore: 2)
Plant Ecology     Hybrid Journal   (Followers: 31, SJR: 0.914, CiteScore: 2)
Transportation     Hybrid Journal   (Followers: 30, SJR: 1.911, CiteScore: 3)
GPS Solutions     Hybrid Journal   (Followers: 30, SJR: 1.674, CiteScore: 5)
Clinical Social Work J.     Hybrid Journal   (Followers: 30, SJR: 0.498, CiteScore: 1)
Current Diabetes Reports     Hybrid Journal   (Followers: 30, SJR: 1.618, CiteScore: 4)
Boundary-Layer Meteorology     Hybrid Journal   (Followers: 30, SJR: 1.262, CiteScore: 2)
Resonance     Hybrid Journal   (Followers: 29, SJR: 0.15, CiteScore: 0)
CEAS Aeronautical J.     Hybrid Journal   (Followers: 29, SJR: 0.248, CiteScore: 1)
Information Systems Frontiers     Hybrid Journal   (Followers: 29, SJR: 0.821, CiteScore: 4)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 28, SJR: 0.72, CiteScore: 2)
Environmental Earth Sciences     Hybrid Journal   (Followers: 28, SJR: 0.552, CiteScore: 2)
IIC - Intl. Review of Intellectual Property and Competition Law     Hybrid Journal   (Followers: 28, SJR: 0.28, CiteScore: 0)
Knee Surgery, Sports Traumatology, Arthroscopy     Hybrid Journal   (Followers: 28, SJR: 1.845, CiteScore: 3)
J. of Nutrition, Health and Aging     Hybrid Journal   (Followers: 28, SJR: 1.249, CiteScore: 3)
J. of Pharmacokinetics and Pharmacodynamics     Hybrid Journal   (Followers: 28, SJR: 0.784, CiteScore: 2)
Flow, Turbulence and Combustion     Hybrid Journal   (Followers: 28, SJR: 0.934, CiteScore: 2)
European Business Organization Law Review (EBOR)     Full-text available via subscription   (Followers: 28, SJR: 0.409, CiteScore: 1)
Educational Assessment, Evaluation and Accountability     Hybrid Journal   (Followers: 28, SJR: 0.599, CiteScore: 1)
J. of Happiness Studies     Hybrid Journal   (Followers: 27, SJR: 0.827, CiteScore: 2)
Landslides     Hybrid Journal   (Followers: 27, SJR: 1.802, CiteScore: 4)
Breast Cancer     Hybrid Journal   (Followers: 27, SJR: 0.653, CiteScore: 2)
J. of Financial Services Research     Hybrid Journal   (Followers: 27, SJR: 1.31, CiteScore: 1)
Microsystem Technologies     Hybrid Journal   (Followers: 27, SJR: 0.346, CiteScore: 1)
Review of Accounting Studies     Hybrid Journal   (Followers: 27, SJR: 2.757, CiteScore: 2)
J. of Banking Regulation     Hybrid Journal   (Followers: 27, SJR: 0.22, CiteScore: 0)
Astrophysics     Hybrid Journal   (Followers: 27, SJR: 0.225, CiteScore: 0)
Applied Physics B: Lasers and Optics     Hybrid Journal   (Followers: 27, SJR: 0.74, CiteScore: 2)
Breast Cancer Research and Treatment     Hybrid Journal   (Followers: 27, SJR: 2.066, CiteScore: 4)
Intl. J. of Information Security     Hybrid Journal   (Followers: 27, SJR: 0.555, CiteScore: 3)
J. of Ornithology     Hybrid Journal   (Followers: 26)
The European Physical J. D - Atomic, Molecular, Optical and Plasma Physics     Hybrid Journal   (Followers: 26, SJR: 0.387, CiteScore: 1)
J. of Computational Neuroscience     Hybrid Journal   (Followers: 26, SJR: 0.888, CiteScore: 2)
Law and Philosophy     Hybrid Journal   (Followers: 26, SJR: 0.471, CiteScore: 1)
Intl. J. of Sexuality and Gender Studies     Hybrid Journal   (Followers: 26)
Human Rights Review     Hybrid Journal   (Followers: 26, SJR: 0.175, CiteScore: 1)
Aquaculture Intl.     Hybrid Journal   (Followers: 26, SJR: 0.591, CiteScore: 2)
J. of Analytical Chemistry     Hybrid Journal   (Followers: 26, SJR: 0.265, CiteScore: 1)
Intl. J. of Science and Mathematics Education     Hybrid Journal   (Followers: 25, SJR: 0.737, CiteScore: 1)
Human Ecology     Open Access   (Followers: 25, SJR: 0.752, CiteScore: 2)
Public Choice     Hybrid Journal   (Followers: 25, SJR: 0.991, CiteScore: 1)
Meteorology and Atmospheric Physics     Hybrid Journal   (Followers: 25, SJR: 0.543, CiteScore: 1)
Continental Philosophy Review     Partially Free   (Followers: 25, SJR: 0.145, CiteScore: 0)
Acta Mechanica     Hybrid Journal   (Followers: 25, SJR: 1.04, CiteScore: 2)
Evolutionary Biology     Hybrid Journal   (Followers: 25, SJR: 0.81, CiteScore: 2)
Artificial Intelligence Review     Hybrid Journal   (Followers: 25, SJR: 0.833, CiteScore: 4)
Archaeological and Anthropological Sciences     Hybrid Journal   (Followers: 24, SJR: 1.052, CiteScore: 2)
J. of Public Health Policy     Partially Free   (Followers: 24, SJR: 0.715, CiteScore: 1)
Water, Air, & Soil Pollution     Open Access   (Followers: 24, SJR: 0.589, CiteScore: 2)
Cancer Immunology, Immunotherapy     Hybrid Journal   (Followers: 24, SJR: 1.899, CiteScore: 5)
Canadian J. of Public Health     Hybrid Journal   (Followers: 24, SJR: 0.609, CiteScore: 1)
Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity     Hybrid Journal   (Followers: 24, SJR: 0.572, CiteScore: 2)
Russian Aeronautics (Iz VUZ)     Hybrid Journal   (Followers: 24, SJR: 0.136, CiteScore: 0)
Wetlands     Hybrid Journal   (Followers: 24, SJR: 0.755, CiteScore: 2)
Critical Criminology     Hybrid Journal   (Followers: 24, SJR: 0.34, CiteScore: 1)
World J. of Surgery     Hybrid Journal   (Followers: 24, SJR: 1.359, CiteScore: 2)
Fluid Dynamics     Hybrid Journal   (Followers: 24, SJR: 0.345, CiteScore: 1)
Experimental Economics     Hybrid Journal   (Followers: 24, SJR: 2.276, CiteScore: 2)
Mechanics of Composite Materials     Hybrid Journal   (Followers: 24, SJR: 0.313, CiteScore: 1)
Biological Invasions     Hybrid Journal   (Followers: 24, SJR: 1.514, CiteScore: 3)
Heat and Mass Transfer     Hybrid Journal   (Followers: 24, SJR: 0.448, CiteScore: 1)
Environmental and Resource Economics     Hybrid Journal   (Followers: 24, SJR: 1.186, CiteScore: 2)
J. of Thermal Analysis and Calorimetry     Hybrid Journal   (Followers: 24, SJR: 0.587, CiteScore: 2)
J. of Chemical Sciences     Partially Free   (Followers: 24, SJR: 0.352, CiteScore: 1)
Intl. J. of Mental Health and Addiction     Hybrid Journal   (Followers: 24, SJR: 0.49, CiteScore: 1)
J. of Public Health     Hybrid Journal   (Followers: 23, SJR: 0.265, CiteScore: 1)
Research in Science Education     Hybrid Journal   (Followers: 23, SJR: 1.019, CiteScore: 2)
Behavior Research Methods     Hybrid Journal   (Followers: 23, SJR: 2.099, CiteScore: 4)
Science & Education     Hybrid Journal   (Followers: 23)
Electrical Engineering     Hybrid Journal   (Followers: 23, SJR: 0.323, CiteScore: 1)
J. of the Academy of Marketing Science     Hybrid Journal   (Followers: 23, SJR: 4.614, CiteScore: 7)
Diabetes Therapy     Open Access   (Followers: 23, SJR: 1.094, CiteScore: 3)
Astronomy and Astrophysics Review     Hybrid Journal   (Followers: 23, SJR: 3.385, CiteScore: 5)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 23, SJR: 0.812, CiteScore: 1)
Erkenntnis     Hybrid Journal   (Followers: 23, SJR: 1.502, CiteScore: 1)
Current Microbiology     Hybrid Journal   (Followers: 23, SJR: 0.562, CiteScore: 1)
J. of Materials Science     Hybrid Journal   (Followers: 23, SJR: 0.807, CiteScore: 3)
Ethical Theory and Moral Practice     Hybrid Journal   (Followers: 23, SJR: 0.402, CiteScore: 1)
Animal Cognition     Hybrid Journal   (Followers: 23, SJR: 1.389, CiteScore: 3)
European Spine J.     Hybrid Journal   (Followers: 23, SJR: 1.535, CiteScore: 2)
Human Nature     Hybrid Journal   (Followers: 23, SJR: 1.092, CiteScore: 2)
Experimental Mechanics     Hybrid Journal   (Followers: 23, SJR: 0.947, CiteScore: 2)
J. of Child and Family Studies     Hybrid Journal   (Followers: 22, SJR: 0.784, CiteScore: 2)
J. of General Internal Medicine     Hybrid Journal   (Followers: 22, SJR: 1.612, CiteScore: 2)
Evolutionary Ecology     Hybrid Journal   (Followers: 22, SJR: 1.117, CiteScore: 2)
Astronomy Letters     Hybrid Journal   (Followers: 22, SJR: 0.452, CiteScore: 1)
Abdominal Radiology     Hybrid Journal   (Followers: 22, SJR: 0.866, CiteScore: 2)
Chromatographia     Hybrid Journal   (Followers: 22, SJR: 0.514, CiteScore: 1)
Early Childhood Education J.     Hybrid Journal   (Followers: 22, SJR: 0.548, CiteScore: 1)

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Similar Journals
Journal Cover
International Journal on Digital Libraries
Journal Prestige (SJR): 0.441
Citation Impact (citeScore): 2
Number of Followers: 784  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1432-1300 - ISSN (Online) 1432-5012
Published by Springer-Verlag Homepage  [2626 journals]
  • A framework for modelling and visualizing the US Constitutional Convention
           of 1787
    • Abstract: Abstract This paper describes a new approach to the presentation of records relating to formal negotiations and the texts that they create. It describes the architecture of a model, platform, and web interface ( that can be used by domain experts to convert the records typical of formal negotiations into a model of decision-making (with minimal training). This model has implications for both research and teaching, by allowing for better qualitative and quantitative analysis of negotiations. The platform emphasizes the reconstruction as closely as possible of the context within which proposals and decisions are made. The usability and benefits of a generic platform are illustrated by a presentation of the records relating to the 1787 Constitutional Convention that wrote the Constitution of the USA.
      PubDate: 2020-06-01
  • On the effectiveness of the scientific peer-review system: a case study of
           the Journal of High Energy Physics
    • Abstract: Abstract The importance and the need for the peer-review system is highly debated in the academic community, and recently there has been a growing consensus to completely get rid of it. This is one of the steps in the publication pipeline that usually requires the publishing house to invest a significant portion of their budget in order to ensure quality editing and reviewing of the submissions received. Therefore, a very pertinent question is if at all such investments are worth making. To answer this question, in this paper, we perform a rigorous measurement study on a massive dataset (29k papers with 70k distinct review reports) to unfold the detailed characteristics of the peer-review process considering the three most important entities of this process—(i) the paper (ii) the authors and (iii) the referees and thereby identify different factors related to these three entities which can be leveraged to predict the long-term impact of a submitted paper. These features when plugged into a regression model achieve a high \(R^2\) of 0.85 and RMSE of 0.39. Analysis of feature importance indicates that reviewer- and author-related features are most indicative of long-term impact of a paper. We believe that our framework could definitely be utilized in assisting editors to decide the fate of a paper.
      PubDate: 2020-06-01
  • Toward comprehensive event collections
    • Abstract: Abstract Web archives, such as the Internet Archive, preserve an unprecedented abundance of materials regarding major events and transformations in our society. In this paper, we present an approach for building event-centric sub-collections from such large archives, which includes not only the core documents related to the event itself but, even more importantly, documents describing related aspects (e.g., premises and consequences). This is achieved by identifying relevant concepts and entities from a knowledge base, and then detecting their mentions in documents, which are interpreted as indicators for relevance. We extensively evaluate our system on two diachronic corpora, the New York Times Corpus and the US Congressional Record; additionally, we test its performance on the TREC KBA Stream Corpus and on the TREC-CAR dataset, two publicly available large-scale web collections.
      PubDate: 2020-06-01
  • Building and querying semantic layers for web archives (extended version)
    • Abstract: Abstract Web archiving is the process of collecting portions of the Web to ensure that the information is preserved for future exploitation. However, despite the increasing number of web archives worldwide, the absence of efficient and meaningful exploration methods still remains a major hurdle in the way of turning them into a usable and useful information source. In this paper, we focus on this problem and propose an RDF/S model and a distributed framework for building semantic profiles (“layers”) that describe semantic information about the contents of web archives. A semantic layer allows describing metadata information about the archived documents, annotating them with useful semantic information (like entities, concepts, and events), and publishing all these data on the Web as Linked Data. Such structured repositories offer advanced query and integration capabilities, and make web archives directly exploitable by other systems and tools. To demonstrate their query capabilities, we build and query semantic layers for three different types of web archives. An experimental evaluation showed that a semantic layer can answer information needs that existing keyword-based systems are not able to sufficiently satisfy.
      PubDate: 2020-06-01
  • Toward meaningful notions of similarity in NLP embedding models
    • Abstract: Finding similar words with the help of word embedding models, such as Word2Vec or GloVe, computed on large-scale digital libraries has yielded meaningful results in many cases. However, the underlying notion of similarity has remained ambiguous. In this paper, we examine when exactly similarity values in word embedding models are meaningful. To do so, we analyze the statistical distribution of similarity values systematically, conducting two series of experiments. The first one examines how the distribution of similarity values depends on the different embedding model algorithms and parameters. The second one starts by showing that intuitive similarity thresholds do not exist. We then propose a method stating which similarity values and thresholds actually are meaningful for a given embedding model. Based on these results, we calculate how these thresholds, when taken into account during evaluation, change the evaluation scores of the models in similarity test sets. In more abstract terms, our insights give way to a better understanding of the notion of similarity in embedding models and to more reliable evaluations of such models.
      PubDate: 2020-06-01
  • Bias-aware news analysis using matrix-based news aggregation
    • Abstract: Abstract Media bias describes differences in the content or presentation of news. It is an ubiquitous phenomenon in news coverage that can have severely negative effects on individuals and society. Identifying media bias is a challenging problem, for which current information systems offer little support. News aggregators are the most important class of systems to support users in coping with the large amount of news that is published nowadays. These systems focus on identifying and presenting important, common information in news articles, but do not reveal different perspectives on the same topic. Due to this analysis approach, current news aggregators cannot effectively reveal media bias. To address this problem, we present matrix-based news aggregation, a novel approach for news exploration that helps users gain a broad and diverse news understanding by presenting various perspectives on the same news topic. Additionally, we present NewsBird, an open-source news aggregator that implements matrix-based news aggregation for international news topics. The results of a user study showed that NewsBird more effectively broadens the user’s news understanding than the list-based visualization approach employed by established news aggregators, while achieving comparable effectiveness and efficiency for the two main use cases of news consumption: getting an overview of and finding details on current news topics.
      PubDate: 2020-06-01
  • Fusion architectures for automatic subject indexing under concept drift
    • Abstract: Abstract Indexing documents with controlled vocabularies enables a wealth of semantic applications for digital libraries. Due to the rapid growth of scientific publications, machine learning-based methods are required that assign subject descriptors automatically. While stability of generative processes behind the underlying data is often assumed tacitly, it is being violated in practice. Addressing this problem, this article studies explicit and implicit concept drift, that is, settings with new descriptor terms and new types of documents, respectively. First, the existence of concept drift in automatic subject indexing is discussed in detail and demonstrated by example. Subsequently, architectures for automatic indexing are analyzed in this regard, highlighting individual strengths and weaknesses. The results of the theoretical analysis justify research on fusion of different indexing approaches with special consideration on information sharing among descriptors. Experimental results on titles and author keywords in the domain of economics underline the relevance of the fusion methodology, especially under concept drift. Fusion approaches outperformed non-fusion strategies on the tested data sets, which comprised shifts in priors of descriptors as well as covariates. These findings can help researchers and practitioners in digital libraries to choose appropriate methods for automatic subject indexing, as is finally shown by a recent case study.
      PubDate: 2020-06-01
  • Introduction to the focused issue on the 2017 ACM/IEEE-CS Joint Conference
           on Digital Libraries JCDL 2017
    • PubDate: 2020-05-18
  • Assessing plausibility of scientific claims to support high-quality
           content in digital collections
    • Abstract: Abstract This paper presents a formalization and extension of a novel approach to support high-quality content in digital libraries. Building on the concept of plausibility used in cognitive sciences, we aim at judging the plausibility of new scientific papers in light of prior knowledge. In particular, our work proposes a novel assessment of scientific papers to qualitatively support the work of reviewers. To do this, our approach focuses on the key aspect of scientific papers: claims. Claims are sentences found in empirical scientific papers that state statistical associations between entities and correspond to the core contributions of the papers. We can find these types of claims, for instance, in medicine, chemistry, and biology, where the consumption of a drug, a substance, or a product causes an effect on some other type of entity such as a disease, or another drug or substance. To operationalize the notion of plausibility, we promote claims as first-class citizens for scientific digital libraries and exploit state-of-the-art neural embedding representations of text and topic models. As a proof of concept of the potential usefulness of this notion of plausibility, we study and report extensive experiments on documents with scientific papers from the PubMed digital library.
      PubDate: 2020-03-01
  • Cultural heritage metadata aggregation using web technologies: IIIF,
           Sitemaps and
    • Abstract: Abstract In the World Wide Web, a very large number of resources are made available through digital libraries. We (Europeana and data providers) report on case studies that tested the application of some of the most promising Web technologies, exploring several solutions based on the International Image Interoperability Framework (IIIF) and Sitemaps. We also describe an analysis of the vocabulary for application in the context of cultural heritage and metadata aggregation. The solutions were tested successfully and leveraged on existing technology and knowledge in cultural heritage, with low implementation barriers. The future challenges lie in choosing among the several possibilities and standardizing solution(s). Europeana will proceed with recommendations for its network and is actively working within the IIIF community to achieve this goal.
      PubDate: 2020-03-01
  • A pragmatic approach to hierarchical categorization of research expertise
           in the presence of scarce information
    • Abstract: Abstract Throughout the history of science, different knowledge areas have collaborated to overcome major research challenges. The task of associating a researcher with such areas makes a series of tasks feasible such as the organization of digital repositories, expertise recommendation and the formation of research groups for complex problems. In this article, we propose a simple yet effective automatic classification model that is capable of categorizing research expertise according to a knowledge area classification scheme. Our proposal relies on discriminatory evidence provided by the title of academic works, which is the minimum information capable of relating a researcher to its knowledge area. Our experiments show that using supervised machine learning methods trained with manually labeled information, it is possible to produce effective classification models.
      PubDate: 2020-03-01
  • Tracking the history and evolution of entities: entity-centric temporal
           analysis of large social media archives
    • Abstract: Abstract How did the popularity of the Greek Prime Minister evolve in 2015' How did the predominant sentiment about him vary during that period' Were there any controversial sub-periods' What other entities were related to him during these periods' To answer these questions, one needs to analyze archived documents and data about the query entities, such as old news articles or social media archives. In particular, user-generated content posted in social networks, like Twitter and Facebook, can be seen as a comprehensive documentation of our society, and thus, meaningful analysis methods over such archived data are of immense value for sociologists, historians, and other interested parties who want to study the history and evolution of entities and events. To this end, in this paper we propose an entity-centric approach to analyze social media archives and we define measures that allow studying how entities were reflected in social media in different time periods and under different aspects, like popularity, attitude, controversiality, and connectedness with other entities. A case study using a large Twitter archive of 4 years illustrates the insights that can be gained by such an entity-centric and multi-aspect analysis.
      PubDate: 2020-03-01
  • Characterising online museum users: a study of the National Museums
           Liverpool museum website
    • Abstract: Abstract Museums are increasing access to their collections and providing richer user experiences via web-based interfaces. However, they are seeing high numbers of users looking at only one or two pages within 10 s and then leaving. To reduce this rate, a better understanding of the type of user who visits a museum website is required. Existing models for museum website users tend to focus on groups that are readily accessible for study or provide little detail in their definitions of the groups. This paper presents the results of a large-scale user survey for the National Museums Liverpool museum website in which data on a wide range of user characteristics were collected regarding their current visit to provide a better understanding of their motivations, tasks, engagement and domain knowledge. Results show that the frequently understudied general public and non-professional users make up the majority (approximately 77%) of the respondents.
      PubDate: 2020-03-01
  • Towards extracting event-centric collections from Web archives
    • Abstract: Abstract Web archives constitute an increasingly important source of information for computer scientists, humanities researchers and journalists interested in studying past events. However, currently there are no access methods that help Web archive users to efficiently access event-centric information in large-scale archives that go beyond the retrieval of individual disconnected documents. In this article, we tackle the novel problem of extracting interlinked event-centric document collections from large-scale Web archives to facilitate an efficient and intuitive access to information regarding past events. We address this problem by: (1) facilitating users to define event-centric document collections in an intuitive way through a Collection Specification; (2) development of a specialised extraction method that adapts focused crawling techniques to the Web archive settings; and (3) definition of a function to judge the relevance of the archived documents with respect to the Collection Specification taking into account the topical and temporal relevance of the documents. Our extended experiments on the German Web archive (covering a time period of 19 years) demonstrate that our method enables efficient extraction of event-centric collections for different event types.
      PubDate: 2020-03-01
  • Current research on theory and practice of digital libraries: best papers
           from TPDL 2017
    • Abstract: Abstract This volume presents a special issue on the 2017 edition of the theory and practice of digital libraries (TPDL) conference, held in Thessaloniki, Greece. We provide a brief overview of TPDL 2017 and introduce the selected papers that make up the rest of this volume. The papers cover different aspects of current digital library research, highlighting the important and multidisciplinary nature of the field.
      PubDate: 2020-02-14
  • An analysis and comparison of keyword recommendation methods for
           scientific data
    • Abstract: Abstract To classify and search various kinds of scientific data, it is useful to annotate those data with keywords from a controlled vocabulary. Data providers, such as researchers, annotate their own data with keywords from the provided vocabulary. However, for the selection of suitable keywords, extensive knowledge of both the research domain and the controlled vocabulary is required. Therefore, the annotation of scientific data with keywords from a controlled vocabulary is a time-consuming task for data providers. In this paper, we discuss methods for recommending relevant keywords from a controlled vocabulary for the annotation of scientific data through their metadata. Many previous studies have proposed approaches based on keywords in similar existing metadata; we call this the indirect method. However, when the quality of the existing metadata set is insufficient, the indirect method tends to be ineffective. Because the controlled vocabularies for scientific data usually provide definition sentences for each keyword, it is also possible to recommend keywords based on the target metadata and the keyword definitions; we call this the direct method. The direct method does not utilize the existing metadata set and therefore is independent of its quality. Also, for the evaluation of keyword recommendation methods, we propose evaluation metrics based on a hierarchical vocabulary structure, which is a distinctive feature of most controlled vocabularies. Using our proposed evaluation metrics, we can evaluate keyword recommendation methods with an emphasis on keywords that are more difficult for data providers to select. In experiments using real earth science datasets, we compare the direct and indirect methods to verify their effectiveness, and observe how the indirect method depends on the quality of the existing metadata set. The results show the importance of metadata quality in recommending keywords.
      PubDate: 2020-02-07
  • Extending the IFLA Library Reference Model for a Brazilian popular music
           digital library
    • Abstract: Abstract Brazil is recognized as a musical country, with a diverse collection of musical resources served by many digital repositories and music libraries. Historically, those systems are supported by cataloging schemes that are insufficient because they follow standards more focused on the catalog record than on the structure of cataloged works. On the other hand, it is perceived the popularization of multi-entity bibliographic conceptual models, such as IFLA LRM, which seem to be an interesting solution because they (i) have a better capacity to represent the internal architecture of musical objects; (ii) support the creation of cataloging codes and international standards that enable interoperability between collections; and (iii) can be adapted through extension mechanisms. The purpose of this paper is to present an experiment of extending the IFLA LRM in the context of a Brazilian popular music digital library application in order to identify its power of expressivity for attending this specific domain. Instead of making direct use of the entities, attributes and relationships of IFLA LRM, the adopted method was to map concepts of a specific conceptual model (adherent to the digital library in question) that represents aspects of Brazilian popular music on IFLA LRM elements. The resulting extended model demonstrated to be aligned with users’ information needs and proved the efficiency of IFLA LRM to adapt to specific domains. In addition, the strategy of extending IFLA LRM from a specific model seemed appropriate for dealing with its level of generality.
      PubDate: 2020-01-31
  • Towards an ontological cross-disciplinary solution for multidisciplinary
           data: VI-SEEM data management and the FAIR principles
    • Abstract: Abstract Different scientific communities produce different kinds of datasets that rely on different data descriptions, approaches, and logical organisations. In such an environment, it is essential to establish a knowledge communication framework that can guarantee some fundamentals, such as an inclusive description and documentation of the interdisciplinary digital resources, their long-term preservation, access, use, and reuse. The establishment of semantic knowledge integration aims at overcoming such inhomogeneity between data produced by different research communities. Specifically, we refer to those communities aggregated within the e-Infrastructure developed by the European project VI-SEEM: Life Science, Climate Science, and Digital Cultural Heritage. The current research proposes a framework based on CIDOC CRM and its extensions, in particular the CRMsci and CRMdig, and tested on examples identified as interdisciplinary respect to the different and various research areas of the project. Moreover, the semantic solution aims at fulfilling the FAIR principles.
      PubDate: 2020-01-30
  • Historical document layout analysis using anisotropic diffusion and
           geometric features
    • Abstract: Abstract There are several digital libraries worldwide which maintain valuable historical manuscripts. Usually, digital copies of these manuscripts are offered to researchers and readers in raster-image format. These images carry several document degradations that may hinder automatic information retrieval solutions such as manuscript indexing, categorization, retrieval by content, etc. In this paper, we propose a learning-free and hybrid document layout analysis for handwritten historical manuscripts. It has two main phases: page characterization and segmentation. First, the proposed method locates main-content initially using top-down whitespace analysis. It employs anisotropic diffusion filtering to find whitespaces. Then, it extracts template features representing manuscripts’ authors writing behavior. After that, moving windows are used to scan the manuscript page and define main-content boundaries more precisely. We evaluated the proposed method on two datasets: One set is publicly available with 38 historical manuscript pages, and the other set of 51 historical manuscript pages that are collected from the online Harvard Library. Experiments on both datasets show promising results in terms of segmentation quality of main-content that reaches up to 98.5% success rate.
      PubDate: 2020-01-23
  • The HathiTrust Digital Library’s potential for musicology research
    • Abstract: Abstract The HathiTrust Digital Library (HTDL) is one of the largest digital libraries in the world, containing seventeen million volumes from the collections of major academic and research libraries. In this paper, we discuss the HTDL’s potential for musicology research by providing a bibliometric analysis of the collection as a whole, and of the music materials in particular. A series of case studies illustrates the kinds of musicological research that may be conducted using the HTDL. We highlight several opportunities for improvement and discuss promising future directions for new knowledge creation through the processing and analysis of large amounts of retrospective data. The HTDL presents significant new opportunities to the study of music that will continue to expand as data, metadata and collection enhancements are introduced.
      PubDate: 2020-01-23
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Heriot-Watt University
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