Scientometrics

, Volume 103, Issue 1, pp 47–73 | Cite as

Bibliometric analysis of two subdomains in philosophy: free will and sorites

  • Per Ahlgren
  • Peter Pagin
  • Olle Persson
  • Maria Svedberg
Article

Abstract

In this study we tested the fruitfulness of advanced bibliometric methods for mapping subdomains in philosophy. The development of the number of publications on free will and sorites, the two subdomains treated in the study, over time was studied. We applied the cocitation approach to map the most cited publications, authors and journals, and we mapped frequently occurring terms, using a term co-occurrence approach. Both subdomains show a strong increase of publications in Web of Science. When we decomposed the publications by faculty, we could see an increase of free will publications also in social sciences, medicine and natural sciences. The multidisciplinary character of free will research was reflected in the cocitation analysis and in the term co-occurrence analysis: we found clusters/groups of cocited publications, authors and journals, and of co-occurring terms, representing philosophy as well as non-philosophical fields, such as neuroscience and physics. The corresponding analyses of sorites publications displayed a structure consisting of research themes rather than fields. All in all, both philosophers involved in this study acknowledge the validity of the various networks presented. Bibliometric mapping appears to provide an interesting tool for describing the cognitive orientation of a research field, not only in the natural and life sciences but also in philosophy, which this study shows.

Keywords

Bibliometrics Cocitation analysis Free will Mapping Philosophy Sorites 

References

  1. Baneyx, A. (2008). “Publish or Perish” as citation metrics used to analyze scientific output in the humanities: International case studies in economics, geography, social sciences, philosophy, and history. Archivum Immunologiae Et Therapiae Experimentalis, 56(6), 363–371.CrossRefGoogle Scholar
  2. Cullars, J. M. (1998). Citation characteristics of English-language monographs in philosophy. Library & Information Science Research, 20(1), 41–68.CrossRefGoogle Scholar
  3. de Nooy, W., Mrvar, A., & Batagelj, V. (2011). Exploratory social network analysis with Pajek (Rev. and expanded 2nd ed.). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  4. Dowell, E. (1999). Interdisciplinarity and new methodologies in art history: A citation analysis. Art Documentation, 18(1), 14–19.Google Scholar
  5. Everitt, B., Landau, S., & Leese, M. (2001). Cluster Analysis (4th ed.). London: Arnold.MATHGoogle Scholar
  6. Hammarfelt, B. (2011a). citation analysis on the micro level: The example of Walter Benjamin’s Illuminations. Journal of the American Society for Information Science and Technology, 62(5), 819–830.CrossRefGoogle Scholar
  7. Hammarfelt, B. (2011b). Interdisciplinarity and the intellectual base of literature studies: Citation analysis of highly cited monographs. Scientometrics, 86(3), 705–725.CrossRefGoogle Scholar
  8. Hammarfelt, B. (2012). Harvesting footnotes in a rural field: Citation patterns in Swedish literary studies. Journal of Documentation, 68(4), 536–558.CrossRefGoogle Scholar
  9. Hellqvist, B. (2010). Referencing in the humanities and its implications for citation analysis. Journal of the American Society for Information Science and Technology, 61(2), 310–318.Google Scholar
  10. Herubel, J. (1991). Philosophy dissertation bibliographies and citations in serials evaluation. Serials Librarian, 20(2–3), 65–73.CrossRefGoogle Scholar
  11. Hoefer, C. (2010). Causal determinism. The Stanford encyclopedia of philosophy. 2012, from http://plato.stanford.edu/entries/determinism-causal/
  12. Hyland, K. (1999). Academic attribution: Citation and the construction of disciplinary knowledge. Applied Linguistics, 20(3), 341–367.CrossRefMathSciNetGoogle Scholar
  13. Kabelka, G. (2012). The development of Lithuanian philosophy during 1960–2010: Volume, institutions, publications. Problemos, 81, 109–123.Google Scholar
  14. Knievel, J. E., & Kellsey, C. (2005). Citation analysis for collection development: A comparative study of eight humanities fields. Library Quarterly, 75(2), 142–168.CrossRefGoogle Scholar
  15. Kreuzman, H. (2001). A co-citation analysis of representative authors in philosophy: Examining the relationship between epistemologists and philosophers of science. Scientometrics, 51(3), 525–539.CrossRefGoogle Scholar
  16. Larivière, V., Archambault, E., Gingras, Y., & Vignola-Gagne, E. (2006). The place of serials in referencing practices: Comparing natural sciences and engineering with social sciences and humanities. Journal of the American Society for Information Science and Technology, 57(8), 997–1004.CrossRefGoogle Scholar
  17. Leydesdorff, L., Hammarfelt, B., & Salah, A. (2011). The structure of the Arts & Humanities Citation Index: A mapping on the basis of aggregated citations among 1,157 journals. Journal of the American Society for Information Science and Technology, 62(12), 2414–2426.CrossRefGoogle Scholar
  18. Leydesdorff, L., & Persson, O. (2010). Mapping the geography of science: Distribution patterns and networks of relations among cities and institutes. Journal of the American Society for Information Science and Technology, 61(8), 1622–1634.Google Scholar
  19. Leydesdorff, L., & Rafols, I. (2011). Local emergence and global diffusion of research technologies: An exploration of patterns of network formation. Journal of the American Society for Information Science and Technology, 62(5), 846–860.CrossRefGoogle Scholar
  20. Leydesdorff, L., & Salah, A. A. A. (2010). Maps on the Basis of the Arts & Humanities Citation Index: The journals Leonardo and Art Journal versus “digital humanities” as a topic. Journal of the American Society for Information Science and Technology, 61(4), 787–801.Google Scholar
  21. Lindholm-Romantschuk, Y., & Warner, J. (1996). The role of monographs in scholarly communication: An empirical study of philosophy, sociology and economics. Journal of Documentation, 52(4), 389–404.CrossRefGoogle Scholar
  22. Manana-Rodriguez, J., & Gimenez-Toledo, E. (2013). Scholarly publishing in social sciences and humanities, associated probabilities of belonging and its spectrum: a quantitative approach for the Spanish case. Scientometrics, 94(3), 893–910.CrossRefGoogle Scholar
  23. Meyer, M., Grant, K., Morlacchi, P., & Weckowska, D. (2014). Triple Helix indicators as an emergent area of enquiry: A bibliometric perspective. Scientometrics, 99(1), 151–174.CrossRefGoogle Scholar
  24. Persson, O. (1994). The intellectual base and research fronts of JASIS 1986–1990. Journal of the American Society for Information Science, 45(1), 31–38.CrossRefGoogle Scholar
  25. Persson, O., Danell, R., & Schneider, J. (2009). How to use Bibexcel for various types of bibliometric analysis. In F. Åström, R. Danell, B. Larsen, & J. Schneider (Eds.), Celebrating scholarly communication studies: A Festschrift for Olle Persson at his 60th birthday (pp. 9–24). Leuven, Belgium: International Society for Scientometrics and Informetrics.Google Scholar
  26. Rubenstein, H., & Goodenough, J. (1965). Contextual correlates of synonymy. Communications of the ACM, 8(10), 627–633.CrossRefGoogle Scholar
  27. Salton, G., & McGill, M. J. (1983). Introduction to Modern Information Retrieval. New York: McGraw-Hill.MATHGoogle Scholar
  28. Schütze, H., & Pederson, J. O. (1995). Information retrieval based on word senses. Paper presented at the proceedings of the 4th annual symposium on document analysis and information retrieval.Google Scholar
  29. Shen, J. T., Yao, L. Y., Li, Y. P., Clarke, M., Wang, L., & Li, D. (2013). Visualizing the history of evidence-based medicine: A bibliometric analysis. Journal of the American Society for Information Science and Technology, 64(10), 2157–2172.CrossRefGoogle Scholar
  30. Tatry, M. V., Fournier, D., Jeannequin, B., & Dosba, F. (2014). EU27 and USA leadership in fruit and vegetable research: A bibliometric study from 2000 to 2009. Scientometrics, 98(3), 2207–2222.CrossRefGoogle Scholar
  31. Thompson, J. W. (2002). The death of the scholarly monograph in the humanities? Citation patterns in literary scholarship. Libri, 52(3), 121–136.CrossRefGoogle Scholar
  32. van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.CrossRefGoogle Scholar
  33. van Eck, N. J., & Waltman, L. (2011). Text mining and visualization using VOSviewer. ISSI Newsletter, 7(3), 50–54.Google Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2015

Authors and Affiliations

  • Per Ahlgren
    • 1
  • Peter Pagin
    • 2
  • Olle Persson
    • 3
  • Maria Svedberg
    • 2
  1. 1.School of Education and Communication in Engineering Sciences (ECE)KTH Royal Institute of TechnologyStockholmSweden
  2. 2.Department of PhilosophyStockholm UniversityStockholmSweden
  3. 3.Department of Sociology, InforskUmeå UniversityUmeåSweden

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