Optimizing SCImago Journal & Country Rank classification by community detection

Subject classification arises as an important topic for bibliometrics and scientometrics, searching to develop reliable and consistent tools and outputs. Such objectives also call for a well delimited underlying subject classification scheme that adequately reflects scientific fields. Within the broad ensemble of classification techniques, clustering analysis is one of the most successful.

[1]  Wolfgang Glänzel,et al.  Bibliographic coupling and hierarchical clustering for the validation and improvement of subject-classification schemes , 2015, Scientometrics.

[2]  Hui-Ling Wang,et al.  A co-word analysis of digital library field in China , 2012, Scientometrics.

[3]  Wolfgang Glänzel,et al.  Improving SCImago Journal & Country Rank (SJR) subject classification through reference analysis , 2011, Scientometrics.

[4]  Loet Leydesdorff,et al.  The structure of the Arts & Humanities Citation Index: A mapping on the basis of aggregated citations among 1,157 journals , 2011, J. Assoc. Inf. Sci. Technol..

[5]  Éric Archambault,et al.  Towards a Multilingual, Comprehensive and Open Scientific Journal Ontology , 2013 .

[6]  Grupo Scimago Asia vista con el SCImago Journal & Country Rank (SJR) , 2008 .

[7]  Péter Jacsó,et al.  THE NEED FOR END-USER CUSTOMIZATION OF THE JOURNAL- SETS OF THE SUBJECT CATEGORIES IN THE SCIMAGO JOURNAL RANKING DATABASE FOR MORE APPROPRIATE LEAGUE LISTS. A CASE STUDY FOR THE LIBRARY & INFORMATION SCIENCE FIELD , 2013 .

[8]  H RamirezJorge,et al.  ISI web of knowledge - RE-LY , 2014 .

[9]  Ismael Rafols,et al.  Interactive overlays: A new method for generating global journal maps from Web-of-Science data , 2011, J. Informetrics.

[10]  Bethany S. Dohleman Exploratory social network analysis with Pajek , 2006 .

[11]  Vladimir Batagelj,et al.  Pajek - Program for Large Network Analysis , 1999 .

[12]  Wolfgang Glänzel,et al.  Bibliometric methods for detecting and analysing emerging research topics , 2012 .

[13]  Vladimir Batagelj,et al.  Pajek Program for Analysis and Visualization of Large Networks , 2007 .

[14]  V. Larivière,et al.  Design and Update of a Classification System: The UCSD Map of Science , 2012, PloS one.

[15]  Kevin W. Boyack,et al.  Toward a consensus map of science , 2009, J. Assoc. Inf. Sci. Technol..

[16]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[17]  Kevin W. Boyack,et al.  Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? , 2010 .

[18]  Wolfgang Glänzel,et al.  Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research , 2010, Scientometrics.

[19]  Gerard Salton,et al.  Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..

[20]  Henry Small Visualizing science by citation mapping , 1999 .

[21]  Ludo Waltman,et al.  Software survey: VOSviewer, a computer program for bibliometric mapping , 2009, Scientometrics.

[22]  Per Ahlgren,et al.  Document-document similarity approaches and science mapping: Experimental comparison of five approaches , 2009, J. Informetrics.

[23]  Isabel Gómez,et al.  Coping with the problem of subject classification diversity , 2005, Scientometrics.

[24]  Olle Persson,et al.  Identifying research themes with weighted direct citation links , 2010, J. Informetrics.

[25]  Vladimir Batagelj,et al.  Density based approaches to network analysis Analysis of Reuters terror news network , 2003 .

[26]  Ed C. M. Noyons,et al.  A unified approach to mapping and clustering of bibliometric networks , 2010, J. Informetrics.

[27]  Bart De Moor,et al.  Hybrid clustering for validation and improvement of subject-classification schemes , 2009, Inf. Process. Manag..

[28]  M E J Newman,et al.  Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[29]  yderis p,et al.  ISI Web of Knowledge. , 2013 .

[30]  Hans Peter Luhn,et al.  A Statistical Approach to Mechanized Encoding and Searching of Literary Information , 1957, IBM J. Res. Dev..

[31]  Ronald Rousseau,et al.  A classification of author co-citations: Definitions and search strategies , 2004, J. Assoc. Inf. Sci. Technol..

[32]  Kathleen Garland An experiment in automatic hierarchical document classification , 1983, Inf. Process. Manag..

[33]  Ludo Waltman,et al.  A new methodology for constructing a publication-level classification system of science , 2012, J. Assoc. Inf. Sci. Technol..

[34]  Alan L. Porter,et al.  Overlay Maps of Science: a New Tool for Research Policy , 2009 .

[35]  Alexander I. Pudovkin,et al.  Algorithmic procedure for finding semantically related journals , 2002, J. Assoc. Inf. Sci. Technol..

[36]  Wolfgang Glänzel,et al.  Tracing the role of individual journals in a cross-citation network based on different indicators , 2009, Scientometrics.

[37]  C.-M. Chen,et al.  Classification and visualization of the social science network by the minimum span clustering method , 2011, J. Assoc. Inf. Sci. Technol..

[38]  Félix de Moya Anegón,et al.  Visualizing the structure of science , 2007 .

[39]  Ismael Rafols,et al.  Content-based and algorithmic classifications of journals: Perspectives on the dynamics of scientific communication and indexer effects , 2009 .

[40]  Kevin W. Boyack,et al.  Improving the accuracy of co-citation clustering using full text , 2013, J. Assoc. Inf. Sci. Technol..

[41]  Gisela Cantos-Mateos,et al.  Stem cell research: bibliometric analysis of main research areas through KeyWords Plus , 2012, Aslib Proc..