Bibliometrics: Tracking research impact by selecting the appropriate metrics

Ashok Agarwal, Damayanthi Durairajanayagam, Sindhuja Tatagari, Sandro C. Esteves, Avi Harlev, Ralf Henkel, Shubhadeep Roychoudhury, Sheryl Homa, Nicolás Garrido Puchalt, Ranjith Ramasamy, Ahmad Majzoub, Kim Dao Ly, Eva Tvrda, Mourad Assidi, Kavindra Kesari, Reecha Sharma, Saleem Banihani, Edmund Ko, Muhammad Abu-Elmagd, Jaime GosalvezAsher Bashiri

Research output: Contribution to journalReview articlepeer-review

158 Scopus citations


Traditionally, the success of a researcher is assessed by the number of publications he or she publishes in peer-reviewed, indexed, high impact journals. This essential yardstick, often referred to as the impact of a specific researcher, is assessed through the use of various metrics. While researchers may be acquainted with such matrices, many do not know how to use them to enhance their careers. In addition to these metrics, a number of other factors should be taken into consideration to objectively evaluate a scientist′s profile as a researcher and academician. Moreover, each metric has its own limitations that need to be considered when selecting an appropriate metric for evaluation. This paper provides a broad overview of the wide array of metrics currently in use in academia and research. Popular metrics are discussed and defined, including traditional metrics and article-level metrics, some of which are applied to researchers for a greater understanding of a particular concept, including varicocele that is the thematic area of this Special Issue of Asian Journal of Andrology. We recommend the combined use of quantitative and qualitative evaluation using judiciously selected metrics for a more objective assessment of scholarly output and research impact.

Original languageEnglish
Pages (from-to)296-309
Number of pages14
JournalAsian Journal of Andrology
Issue number2
StatePublished - 1 Mar 2016
Externally publishedYes


  • article-level metrics
  • bibliometrics
  • citation counts
  • h-index
  • impact factor
  • research databases
  • research impact
  • research productivity
  • traditional metrics


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