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Influence of individual researchers’ visibility on institutional impact: an example of Prathap’s approach to successive h-indices

Author

Listed:
  • Ricardo Arencibia-Jorge

    (National Scientific Research Center)

  • Ronald Rousseau

    (Industrial Sciences and Technology
    K.U.Leuven, Steunpunt O&O Indicatoren)

Abstract

This study applies Prathap’s approach to successive h-indices in order to measure the influence of researcher staff on institutional impact. The twelve most productive Cuban institutions related to the study of the human brain are studied. The Hirsch index was used to measure the impact of the institutional scientific output, using the g-index and R-index as complementary indicators. Prathap’s approach to successive h-indices, based on the author-institution hierarchy, is used to determine the institutional impact through the performance of the researcher staff. The combination of different Hirsch-type indices for institutional evaluation is illustrated.

Suggested Citation

  • Ricardo Arencibia-Jorge & Ronald Rousseau, 2009. "Influence of individual researchers’ visibility on institutional impact: an example of Prathap’s approach to successive h-indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 507-516, June.
  • Handle: RePEc:spr:scient:v:79:y:2009:i:3:d:10.1007_s11192-007-2025-0
    DOI: 10.1007/s11192-007-2025-0
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    References listed on IDEAS

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    1. Anthony F. J. Raan, 2006. "Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 491-502, June.
    2. Frances Ruane & Richard S. J. Tol, 2008. "Rational (successive) h-indices: An application to economics in the Republic of Ireland," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 395-405, May.
    3. András Schubert, 2007. "Successive h-indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 201-205, January.
    4. Henri A. Schildt & Juha T. Mattsson, 2006. "A dense network sub-grouping algorithm for co-citation analysis and its implementation in the software tool Sitkis," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(1), pages 143-163, April.
    5. Henri A. Schildt & Juha T. Mattsson, 2006. "A dense network sub-grouping algorithm for co-citation analysis and its implementation in the software tool Sitkis," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(1), pages 143-163, April.
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    Cited by:

    1. Cornelius J. König & Clemens B. Fell & Linus Kellnhofer & Gabriel Schui, 2015. "Are there gender differences among researchers from industrial/organizational psychology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1931-1952, December.
    2. Ricardo Arencibia-Jorge & Felix Moya-Anegón, 2010. "Challenges in the study of Cuban scientific output," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 723-737, June.
    3. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    4. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    5. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2013. "Cross-field evaluation of publications of research institutes using their contributions to the fields’ MVPs determined by h-index," Journal of Informetrics, Elsevier, vol. 7(2), pages 455-468.
    6. Ana Paula dos Santos Rubem & Ariane Lima Moura & João Carlos Correia Baptista Soares de Mello, 2015. "Comparative analysis of some individual bibliometric indices when applied to groups of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 1019-1035, January.

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