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Visualization of the citation impact environments of scientific journals: An online mapping exercise

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  • Loet Leydesdorff

Abstract

Aggregated journal–journal citation networks based on the Journal Citation Reports 2004 of the Science Citation Index (5,968 journals) and the Social Science Citation Index (1,712 journals) are made accessible from the perspective of any of these journals. A vector‐space model is used for normalization, and the results are brought online at http://www.leydesdorff.net/jcr04 as input files for the visualization program Pajek. The user is thus able to analyze the citation environment in terms of links and graphs. Furthermore, the local impact of a journal is defined as its share of the total citations in the specific journal's citation environments; the vertical size of the nodes is varied proportionally to this citation impact. The horizontal size of each node can be used to provide the same information after correction for within‐journal (self‐)citations. In the “citing” environment, the equivalents of this measure can be considered as a citation activity index which maps how the relevant journal environment is perceived by the collective of authors of a given journal. As a policy application, the mechanism of interdisciplinary developments among the sciences is elaborated for the case of nanotechnology journals.

Suggested Citation

  • Loet Leydesdorff, 2007. "Visualization of the citation impact environments of scientific journals: An online mapping exercise," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(1), pages 25-38, January.
    • Handle: RePEc:bla:jamist:v:58:y:2007:i:1:p:25-38
    DOI: 10.1002/asi.20406
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    Cited by:

    1. Johan Bollen & Herbert Van de Sompel & Aric Hagberg & Ryan Chute, 2009. "A Principal Component Analysis of 39 Scientific Impact Measures," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-11, June.
    2. Aleskerov, F. & Badgaeva, D. & Pislyakov, V. & Sterligov, I. & Shvydun, S., 2016. "An Importance of Russian and International Economic Journals: a Network Approach," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 193-205.
    3. Loet Leydesdorff, 2007. "Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 391-405, June.
    4. C.M. Calero Medina & T.N. Leeuwen, 2012. "Seed journal citation network maps: A method based on network theory," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1226-1234, June.
    5. Claudio Nicolini & Fabrizio Nozza, 2008. "Objective assessment of scientific performances world-wide," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 527-541, September.
    6. Рубинштейн Александр Яковлевич, "undated". "Ранжирование Российских Экономических Журналов: Научный Метод Или «Игра В Цыфирь»? [Ran Ranking of Russian Economic Journals: The Scientific Method or “Numbers Game”?]," Working papers a:pru175:ye:2016:1, Institute of Economics.
    7. Pedro Cosme Vieira & Aurora A. C. Teixeira, 2010. "Are finance, management, and marketing autonomous fields of scientific research? An analysis based on journal citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 627-646, December.
    8. Angelito Calma & Martin Davies, 2017. "Geographies of influence: a citation network analysis of Higher Education 1972–2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1579-1599, March.
    9. Alberto Baccini & Giuseppe De Nicolao & Eugenio Petrovich, 2019. "Citation gaming induced by bibliometric evaluation: A country-level comparative analysis," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-16, September.
    10. Ping Zhou & Youneng Pan, 2015. "A comparative analysis of publication portfolios of selected economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 825-842, November.
    11. Han Woo Park & Loet Leydesdorff, 2009. "Knowledge linkage structures in communication studies using citation analysis among communication journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 157-175, October.
    12. Thara Prabhakaran & Hiran H. Lathabai & Susan George, 2019. "Competing, complementary and co-existing paradigms in techno-scientific literature: A case study of Nanotechnology for engineering," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 941-977, March.
    13. Sara Cruz & Aurora Teixeira, 2010. "The Evolution of the Cluster Literature: Shedding Light on the Regional Studies-Regional Science Debate," Regional Studies, Taylor & Francis Journals, vol. 44(9), pages 1263-1288.
    14. Han Woo Park & Loet Leydesdorff, 2008. "Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea?," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 439-462, June.
    15. Loet Leydesdorff, 2007. "Environment and Planning B: Planning and Design as a Journal: The Interdisciplinarity of its Environment and the Citation Impact," Environment and Planning B, , vol. 34(5), pages 826-838, October.
    16. Koen Jonkers, 2010. "Models and orphans; concentration of the plant molecular life science research agenda," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 167-179, April.
    17. Massaro, Sebastiano & Lorenzoni, Gianni, 2021. "Nanomedicine: a socio-technical system," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    18. Dejian Yu, 2015. "A scientometrics review on aggregation operator research," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 115-133, October.

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