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An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field

Author

Listed:
  • Cobo, M.J.
  • López-Herrera, A.G.
  • Herrera-Viedma, E.
  • Herrera, F.

Abstract

This paper presents an approach to analyze the thematic evolution of a given research field. This approach combines performance analysis and science mapping for detecting and visualizing conceptual subdomains (particular themes or general thematic areas). It allows us to quantify and visualize the thematic evolution of a given research field. To do this, co-word analysis is used in a longitudinal framework in order to detect the different themes treated by the research field across the given time period. The performance analysis uses different bibliometric measures, including the h-index, with the purpose of measuring the impact of both the detected themes and thematic areas. The presented approach includes a visualization method for showing the thematic evolution of the studied field.

Suggested Citation

  • Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    • Handle: RePEc:eee:infome:v:5:y:2011:i:1:p:146-166
    DOI: 10.1016/j.joi.2010.10.002
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    as
    1. Calero-Medina, Clara & Noyons, Ed C.M., 2008. "Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field," Journal of Informetrics, Elsevier, vol. 2(4), pages 272-279.
    2. R. Bailón-Moreno & E. Jurado-Alameda & R. Ruiz-Baños & J. P. Courtial, 2005. "Analysis of the field of physical chemistry of surfactants with the Unified Scienctometric Model. Fit of relational and activity indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(2), pages 259-276, April.
    3. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. E. C. M. Noyons & H. F. Moed & A. F. J. Raan, 1999. "Integrating research performance analysis and science mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 591-604, November.
    5. Chen, P. & Redner, S., 2010. "Community structure of the physical review citation network," Journal of Informetrics, Elsevier, vol. 4(3), pages 278-290.
    6. repec:bla:jamist:v:54:y:2003:i:5:p:394-399 is not listed on IDEAS
    7. Christian Sternitzke & Isumo Bergmann, 2009. "Similarity measures for document mapping: A comparative study on the level of an individual scientist," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 113-130, January.
    8. Chaomei Chen & Fidelia Ibekwe-SanJuan & Jianhua Hou, 2010. "The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1386-1409, July.
    9. Henry Small, 2006. "Tracking and predicting growth areas in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 595-610, September.
    10. repec:bla:jamest:v:49:y:1998:i:13:p:1206-1223 is not listed on IDEAS
    11. repec:bla:jamest:v:50:y:1999:i:2:p:115-131 is not listed on IDEAS
    12. repec:bla:jamest:v:24:y:1973:i:4:p:265-269 is not listed on IDEAS
    13. Michel Zitt & Elise Bassecoulard & Yoshiko Okubo, 2000. "Shadows of the Past in International Cooperation: Collaboration Profiles of the Top Five Producers of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(3), pages 627-657, March.
    14. Henry Small & Phineas Upham, 2009. "Citation structure of an emerging research area on the verge of application," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 365-375, May.
    15. van Eck, N.J.P. & Waltman, L., 2007. "Bibliometric Mapping of the Computational Intelligence Field," ERIM Report Series Research in Management ERS-2007-027-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    16. Tomas Cahlik, 2000. "Comparison of the Maps of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(3), pages 373-387, November.
    17. Antonio‐Rafael Ramos‐Rodríguez & José Ruíz‐Navarro, 2004. "Changes in the intellectual structure of strategic management research: a bibliometric study of the Strategic Management Journal, 1980–2000," Strategic Management Journal, Wiley Blackwell, vol. 25(10), pages 981-1004, October.
    18. Skupin, André, 2009. "Discrete and continuous conceptualizations of science: Implications for knowledge domain visualization," Journal of Informetrics, Elsevier, vol. 3(3), pages 233-245.
    19. Peters, H. P. F. & van Raan, A. F. J., 1993. "Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling," Research Policy, Elsevier, vol. 22(1), pages 23-45, February.
    20. repec:bla:jamest:v:50:y:1999:i:9:p:799-813 is not listed on IDEAS
    21. Martin Rosvall & Carl T Bergstrom, 2010. "Mapping Change in Large Networks," PLOS ONE, Public Library of Science, vol. 5(1), pages 1-7, January.
    22. repec:bla:jamist:v:60:y:2009:i:8:p:1635-1651 is not listed on IDEAS
    23. repec:bla:jamist:v:60:y:2009:i:2:p:348-362 is not listed on IDEAS
    24. repec:bla:jamist:v:59:y:2008:i:11:p:1810-1818 is not listed on IDEAS
    25. S. Phineas Upham & Henry Small, 2010. "Emerging research fronts in science and technology: patterns of new knowledge development," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 15-38, April.
    26. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
    27. Cabrerizo, F.J. & Alonso, S. & Herrera-Viedma, E. & Herrera, F., 2010. "q2-Index: Quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core," Journal of Informetrics, Elsevier, vol. 4(1), pages 23-28.
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