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Evaluation of h-index and its qualitative and quantitative variants in Neuroscience

Author

Listed:
  • Madiha Ameer

    (Capital University of Science and Technology)

  • Muhammad Tanvir Afzal

    (Capital University of Science and Technology)

Abstract

In the scientific community, different parameters such as, publications, citations, h-index and different variants of h-index are being used to rank the authors. Authors ranking assists in various objectives, including scientific domain expert’s selection and subsequently utilizing their services for different purposes. It can also be used in ranking institutions, selecting journal’s editors, tenure appointments and awarding promotions. There is a need to nominate the best performing index that can rank the authors in a best possible way. All of the existing parameters are either examined on fictional case scenarios or on insufficient datasets belonging to different fields, due to which it is hard to figure out the comparative performance of each index. In order to strongly validate the performance of each individual index these indices should be examined on the large size dataset. This research focuses attention on the evaluation of h-index and some of its variants, both quantitative and qualitative for ranking authors. All these indices are evaluated on a large size dataset belonging to the field of Neuroscience. To evaluate the results of these indices award winners of five different Neuroscience societies are considered as a benchmark. This study will be helpful in distinguishing more dominant authors based on the evaluation results of these quantitative and qualitative indices. In order to evaluate the results obtained from these indices, firstly the correlation among the indices is calculated. Most of the indices such as h-index, hg-index, R-index and m-quotient have strong correlation among them. However, the correlation of f-index with all other indices is weak, which indicates that ranking achieved by the f-index is not similar to others. Secondly the occurrence of award winners in ranked list of each index is calculated and contribution of each index in bringing awardees in top position is checked. None of the index brought 100% of awardees in top positions of the ranking. In quantitative indices hg-index brought maximum 52% awardees in top 10% of its ranked list. While in qualitative indices R-index validated itself as a best performing index by ranking 52% awardees in top 10% of its ranked list. Moreover, it is analyzed that most of the award winners belonging to the SfN (Society for Neuroscience) and CNS (Cognitive Neuroscience Society) lies on the top positions of ranked lists obtained from h-index and hg-index which specify that there might be a relationship between SfN, NAS and the h and hg-indices.

Suggested Citation

  • Madiha Ameer & Muhammad Tanvir Afzal, 2019. "Evaluation of h-index and its qualitative and quantitative variants in Neuroscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 653-673, November.
    • Handle: RePEc:spr:scient:v:121:y:2019:i:2:d:10.1007_s11192-019-03209-6
    DOI: 10.1007/s11192-019-03209-6
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    References listed on IDEAS

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    1. 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.
    2. Rizwan Ghani & Faiza Qayyum & Muhammad Tanvir Afzal & Hermann Maurer, 2019. "Comprehensive evaluation of h-index and its extensions in the domain of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 809-822, March.
    3. Samreen Ayaz & Muhammad Tanvir Afzal, 2016. "Identification of conversion factor for completing-h index for the field of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1511-1524, December.
    4. Richard S. J. Tol, 2009. "The h-index and its alternatives: An application to the 100 most prolific economists," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 317-324, August.
    5. Ludo Waltman & Nees Jan van Eck, 2012. "The inconsistency of the h-index," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(2), pages 406-415, February.
    6. J. E. Hirsch, 2010. "An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 741-754, December.
    7. Lutz Bornmann & Rüdiger Mutz & Hans‐Dieter Daniel, 2008. "Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(5), pages 830-837, March.
    8. Chun-Ting Zhang, 2009. "The e-Index, Complementing the h-Index for Excess Citations," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-4, May.
    9. Anne-Wil Harzing, 2014. "A longitudinal study of Google Scholar coverage between 2012 and 2013," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 565-575, January.
    10. Lutz Bornmann, 2011. "Do we need the E-index in addition to the h-index and its variants?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1433-1434, July.
    11. Lutz Bornmann & Rüdiger Mutz & Hans‐Dieter Daniel, 2009. "Do we need the h index and its variants in addition to standard bibliometric measures?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(6), pages 1286-1289, June.
    12. Lutz Bornmann & Rüdiger Mutz & Hans-Dieter Daniel & Gerlind Wallon & Anna Ledin, 2009. "Are there really two types of h index variants? A validation study by using molecular life sciences data," Research Evaluation, Oxford University Press, vol. 18(3), pages 185-190, September.
    13. 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.
    14. Qiang Wu, 2010. "The w-index: A measure to assess scientific impact by focusing on widely cited papers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(3), pages 609-614, March.
    15. Muhammad Raheel & Samreen Ayaz & Muhammad Tanvir Afzal, 2018. "Evaluation of h-index, its variants and extensions based on publication age & citation intensity in civil engineering," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1107-1127, March.
    16. M Schreiber & C C Malesios & S Psarakis, 2011. "Categorizing h-index variants," Research Evaluation, Oxford University Press, vol. 20(5), pages 397-409, December.
    17. S. Alonso & F. J. Cabrerizo & E. Herrera-Viedma & F. Herrera, 2010. "hg-index: a new index to characterize the scientific output of researchers based on the h- and g-indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 391-400, February.
    18. 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.
    19. Anne-Wil Harzing & Satu Alakangas, 2016. "Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 787-804, February.
    20. 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.
    21. Qiang Wu, 2010. "The w‐index: A measure to assess scientific impact by focusing on widely cited papers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(3), pages 609-614, March.
    22. Qurat-ul Ain & Hira Riaz & Muhammad Tanvir Afzal, 2019. "Evaluation of h-index and its citation intensity based variants in the field of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 187-211, April.
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    Cited by:

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    2. Chihli Hung & Wei-Chao Lin, 2022. "VisualRPI: Visualizing Research Productivity and Impact," Sustainability, MDPI, vol. 14(13), pages 1-11, June.
    3. Muhammad Salman & Mohammad Masroor Ahmed & Muhammad Tanvir Afzal, 2021. "Assessment of author ranking indices based on multi-authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4153-4172, May.
    4. 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.
    5. Muhammad Usman & Ghulam Mustafa & Muhammad Tanvir Afzal, 2021. "Ranking of author assessment parameters using Logistic Regression," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 335-353, January.

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