Mapping of science journals based on h-similarity

Scientometrics

Volumn 83, Issue 2, 2010, Pages 589-600

  Schubert, András ^a   Soós, Sándor ^a  

^a INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

h index; h similarity; Journals; Mapping

Indexed keywords

EID: 77952288825     PISSN: 01389130     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11192-010-0167-y     Document Type: Article

References (10)

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3. Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569-16572 (also available at: arXiv:physics/0508025, accessible via http://arxiv.org/abs/physics/0508025).
4. Janssens, F., Zhang, L., De Moor, B., & Glänzel, W. (2009). Hybrid clustering for validation and improvement of subject-classification schemes. Information Processing and Management, 45, 683-702.
5. Newman, M. E. J. (2006). Modularity and community structure in networks. Proceedings of the National Academy of Sciences of the United States of America, 103(23), 8577-8582.
6. Newman, M. E. J., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physics Reviews E, 69, 026113.
7. Pons, P., & Csardi, G. (no date). http://igraph.sourceforge. net/doc/R/walktrap.community.html.
8. Pons, P., & Latapy, M. (2005). Computing communities in large networks using random walks, http://arxiv.org/abs/physics/0512106.
9. R Development Core Team. (2009). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.
10. Schubert, A. (2010). A reference-based Hirschian similarity measure for journals. Scientometrics, doi: 10.1007/s11192-009-0072-4.