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Co-words Analysis of the Last Ten Years of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

  • Manuel J. Cobo
  • Wanru Wang
  • Sigifredo Laengle
  • José M. Merigó
  • Dejian Yu
  • Enrique Herrera-Viedma
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 855)

Abstract

The main aim of this contribution is to develop a co-words analysis of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems in the last ten years (2008–2017). The software tool SciMAT is employed using an approach that allows us to uncover the main research themes and analyze them according to their performance measures (qualitative and quantitative). An amount of 562 documents were retrieved from the Web of Science. The corpus was divided into two consecutive periods (2008–2012 and 2013–2017). Our key findings are that the most important research themes in the first and second period were devoted with decision making process and its related aspects, techniques and methods.

Keywords

Bibliometric analysis Science mapping analysis Co-words analysis 

Notes

Acknowledgments

The authors would like to acknowledge FEDER funds under grants TIN2013-40658-P and TIN2016-75850-R.

References

  1. 1.
    Börner, K., Chen, C., Boyack, K.W.: Visualizing knowledge domains. Ann. Rev. Inf. Sci. Technol. 37(1), 179–255 (2003)CrossRefGoogle Scholar
  2. 2.
    Callon, M., Courtial, J.P., Turner, W.A., Bauin, S.: From translations to problematic networks: an introduction to co-word analysis. Soc. Sci. Inf. 22, 191–235 (1983)CrossRefGoogle Scholar
  3. 3.
    Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., Herrera, F.: Science mapping software tools: review, analysis, and cooperative study among tools. J. Am. Soc. Inf. Sci. Technol. 62(7), 1382–1402 (2011)CrossRefGoogle Scholar
  4. 4.
    Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., Herrera, F.: SciMAT: a new science mapping analysis software tool. J. Am. Soci. Inf. Sci. Technol. 63(8), 1609–1630 (2012)CrossRefGoogle Scholar
  5. 5.
    Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., Herrera, F.: An approach for detecting, quantifying, and visualizing the evolution of a research field: a practical application to the Fuzzy Sets Theory field. J. Inform. 5(1), 146–166 (2011)CrossRefGoogle Scholar
  6. 6.
    Small, H.: Visualizing science by citation mapping. J. Am. Soc. Inf. Sci. 50(9), 799–813 (1999)CrossRefGoogle Scholar
  7. 7.
    Cobo, M.J., López-Herrera, A.G., Herrera, F., Herrera-Viedma, E.: A Note on the ITS topic evolution in the period 2000–2009 at T-ITS. IEEE Trans. Intell. Transp. Syst. 13(1), 413–420 (2012)CrossRefGoogle Scholar
  8. 8.
    Cobo, M.J., Martínez, M.A., Gutiérrez-Salcedo, M., Fujita, H., Herrera-Viedma, E.: 25 years at knowledge-based systems: a bibliometric analysis. Knowl.-Based Syst. 80, 3–13 (2015)CrossRefGoogle Scholar
  9. 9.
    Martínez, M.A., Cobo, M.J., Herrera, M., Herrera-Viedma, E.: Analyzing the scientific evolution of social work using science mapping. Res. Soc. Work Pract. 5(2), 257–277 (2015)CrossRefGoogle Scholar
  10. 10.
    Murgado-Armenteros, E.M., Gutiérrez-Salcedo, M., Torres-Ruiz, F.J., Cobo, M.J.: Analysing the conceptual evolution of qualitative marketing research through science mapping analysis. Scientometrics 102(1), 519–557 (2015)CrossRefGoogle Scholar
  11. 11.
    Rodriguez-Ledesma, A., Cobo, M.J., Lopez-Pujalte, C., Herrera-Viedma, E.: An overview of animal science research 1945–2011 through science mapping analysis. J. Anim. Breed. Genet. 132(6), 475–497 (2015)CrossRefGoogle Scholar
  12. 12.
    Batagelj, V., Cerinšek, M.: On bibliographic networks. Scientometrics 96(3), 845–864 (2013)CrossRefGoogle Scholar
  13. 13.
    Coulter, N., Monarch, I., Konda, S.: Software engineering as seen through its research literature: a study in co-word analysis. J. Am. Soc. Inf. Sci. 49(13), 1206–1223 (1998)CrossRefGoogle Scholar
  14. 14.
    Callon, M., Courtial, J.P., Laville, F.: Co-word analysis as a tool for describing the network of interactions between basic and technological research: the case of polymer chemsitry. Scientometrics 22, 153–203 (1991)CrossRefGoogle Scholar
  15. 15.
    He, Q.: Knowledge discovery through co-word analysis. Libr. Trends 48(1), 133–159 (1999)MathSciNetGoogle Scholar
  16. 16.
    Alonso, S., Cabrerizo, F.J., Herrera-Viedma, E., Herrera, F.: h-Index: A review focused in its variants, computation and standardization for different scientific fields. J. Inform. 3(4), 273–289 (2009)CrossRefGoogle Scholar
  17. 17.
    Hirsch, J.E.: An index to quantify an individual’s scientific research output. Proc. Nat. Acad. Sci. 102(46), 16569–16572 (2005)CrossRefGoogle Scholar
  18. 18.
    Martínez, M.A., Herrera, M., López-Gijón, J., Herrera-Viedma, E.: H-Classics: characterizing the concept of citation classics through h-index. Scientometrics 98(3), 1971–1983 (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Manuel J. Cobo
    • 1
  • Wanru Wang
    • 2
  • Sigifredo Laengle
    • 3
  • José M. Merigó
    • 3
  • Dejian Yu
    • 2
  • Enrique Herrera-Viedma
    • 4
  1. 1.Department of Computer Science and EngineeringUniversity of CádizCádizSpain
  2. 2.School of InformationZhejiang University of Finance and EconomicsHangzhouChina
  3. 3.Department Management Control and Information Systems, School of Economics and BusinessUniversity of ChileSantiagoChile
  4. 4.Department of Computer Science and Artificial IntelligenceUniversity of GranadaGranadaSpain

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