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Tsallis q-exponential describes the distribution of scientific citations—a new characterization of the impact

Author

Listed:
  • Aristoklis D. Anastasiadis

    (University of Patras
    Centro Brasileiro de Pesquisas Fisicas)

  • Marcelo P. Albuquerque

    (Centro Brasileiro de Pesquisas Fisicas)

  • Marcio P. Albuquerque

    (Centro Brasileiro de Pesquisas Fisicas)

  • Diogo B. Mussi

    (Centro Brasileiro de Pesquisas Fisicas)

Abstract

In this work we have studied the research activity for countries of Europe, Latin America and Africa for all sciences between 1945 and November 2008. All the data are captured from the Web of Science database during this period. The analysis of the experimental data shows that, within a nonextensive thermostatistical formalism, the Tsallis q-exponential distribution N(c) satisfactorily describes Institute of Scientific Information citations. The data which are examined in the present survey can be fitted successfully as a first approach by applying a single curve (namely, $$N(c) \propto 1/[1+(q-1)\, c/T]^{\frac{1} {q-1}}$$ with q ≃ 4/3 for all the available citations c, T being an “effective temperature”. The present analysis ultimately suggests that the phenomenon might essentially be one and the same along the entire range of the citation number. Finally, this manuscript provides a new ranking index, via the “effective temperature” T, for the impact level of the research activity in these countries, taking into account the number of the publications and their citations.

Suggested Citation

  • Aristoklis D. Anastasiadis & Marcelo P. Albuquerque & Marcio P. Albuquerque & Diogo B. Mussi, 2010. "Tsallis q-exponential describes the distribution of scientific citations—a new characterization of the impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 205-218, April.
  • Handle: RePEc:spr:scient:v:83:y:2010:i:1:d:10.1007_s11192-009-0023-0
    DOI: 10.1007/s11192-009-0023-0
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    1. S. Redner, 1998. "How popular is your paper? An empirical study of the citation distribution," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 4(2), pages 131-134, July.
    2. Philip Ball, 2005. "Index aims for fair ranking of scientists," Nature, Nature, vol. 436(7053), pages 900-900, August.
    3. Pablo D. Batista & Mônica G. Campiteli & Osame Kinouchi, 2006. "Is it possible to compare researchers with different scientific interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 179-189, July.
    4. Constantino Tsallis & Celia Anteneodo & Lisa Borland & Roberto Osorio, 2003. "Nonextensive statistical mechanics and economics," Papers cond-mat/0301307, arXiv.org.
    5. James H. Fowler & Dag W. Aksnes, 2007. "Does self-citation pay?," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 427-437, September.
    6. Anastasiadis, Aristoklis D. & Magoulas, George D., 2004. "Nonextensive statistical mechanics for hybrid learning of neural networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(3), pages 372-382.
    7. Williams Nwagwu, 2006. "A bibliometric analysis of productivity patterns of biomedical authors of Nigeria during 1967-2002," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(2), pages 259-269, November.
    8. A. D. Anastasiadis & G. D. Magoulas, 2006. "Evolving Stochastic Learning Algorithm based on Tsallis entropic index," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 50(1), pages 277-283, March.
    9. Shibata, Hiroshi, 2003. "Statistics of phase turbulence II," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 317(3), pages 391-400.
    10. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    11. Leo Egghe, 2000. "A Heuristic Study of the First-Citation Distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 48(3), pages 345-359, July.
    12. Rebecca Long & Aleta Crawford & Michael White & Kimberly Davis, 2009. "Determinants of faculty research productivity in information systems: An empirical analysis of the impact of academic origin and academic affiliation," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 231-260, February.
    13. Dag W. Aksnes & Gunnar Sivertsen, 2004. "The effect of highly cited papers on national citation indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 213-224, February.
    14. Upadhyaya, Arpita & Rieu, Jean-Paul & Glazier, James A. & Sawada, Yasuji, 2001. "Anomalous diffusion and non-Gaussian velocity distribution of Hydra cells in cellular aggregates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 293(3), pages 549-558.
    15. Tsallis, Constantino & Stariolo, Daniel A., 1996. "Generalized simulated annealing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 233(1), pages 395-406.
    16. Tsallis, Constantino & Anteneodo, Celia & Borland, Lisa & Osorio, Roberto, 2003. "Nonextensive statistical mechanics and economics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 89-100.
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