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A new index for the citation curve of researchers

Author

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  • Claes Wohlin

    (Blekinge Institute of Technology)

Abstract

Internet has made it possible to move towards researcher and article impact instead of solely focusing on journal impact. To support citation measurement, several indexes have been proposed, including the h-index. The h-index provides a point estimate. To address this, a new index is proposed that takes the citation curve of a researcher into account. This article introduces the index, illustrates its use and compares it to rankings based on the h-index as well as rankings based on publications. It is concluded that the new index provides an added value, since it balances citations and publications through the citation curve.

Suggested Citation

  • Claes Wohlin, 2009. "A new index for the citation curve of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 521-533, November.
    • Handle: RePEc:spr:scient:v:81:y:2009:i:2:d:10.1007_s11192-008-2155-z
    DOI: 10.1007/s11192-008-2155-z
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    References listed on IDEAS

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    1. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    2. E. Garfield & I. H. Sher, 1963. "New factors in the evaluation of scientific literature through citation indexing," American Documentation, Wiley Blackwell, vol. 14(3), pages 195-201, July.
    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.
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    Cited by:

    1. Antonia Gogoglou & Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2017. "The fractal dimension of a citation curve: quantifying an individual’s scientific output using the geometry of the entire curve," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1751-1774, June.
    2. Bornmann, Lutz & Mutz, Rüdiger & Daniel, Hans-Dieter, 2010. "The h index research output measurement: Two approaches to enhance its accuracy," Journal of Informetrics, Elsevier, vol. 4(3), pages 407-414.
    3. 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.
    4. Sidiropoulos, A. & Gogoglou, A. & Katsaros, D. & Manolopoulos, Y., 2016. "Gazing at the skyline for star scientists," Journal of Informetrics, Elsevier, vol. 10(3), pages 789-813.
    5. Georgios Stoupas & Antonis Sidiropoulos & Antonia Gogoglou & Dimitrios Katsaros & Yannis Manolopoulos, 2018. "Rainbow ranking: an adaptable, multidimensional ranking method for publication sets," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 147-160, July.
    6. Jefferson Seide Molléri & Kai Petersen & Emilia Mendes, 2018. "Towards understanding the relation between citations and research quality in software engineering studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1453-1478, December.
    7. Kosmulski, Marek, 2013. "Family-tree of bibliometric indices," Journal of Informetrics, Elsevier, vol. 7(2), pages 313-317.
    8. Kosmulski, Marek, 2012. "Nemo iudex in causa sua?," Journal of Informetrics, Elsevier, vol. 6(4), pages 611-614.
    9. Pablo Dorta-González & María-Isabel Dorta-González, 2011. "Central indexes to the citation distribution: a complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 729-745, September.
    10. Vinkler, Péter, 2013. "Comparative rank assessment of journal articles," Journal of Informetrics, Elsevier, vol. 7(3), pages 712-717.
    11. Abdulrahman A. Alshdadi & Muhammad Usman & Madini O. Alassafi & Muhammad Tanvir Afzal & Rayed AlGhamdi, 2023. "Formulation of rules for the scientific community using deep learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1825-1852, March.

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