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A Novel Methodology for Identifying the Top 1% Scientists Using a Composite Performance Index

Author

Listed:
  • Alexey Remizov

    (Department of Civil and Environmental Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana 010000, Kazakhstan)

  • Shazim Ali Memon

    (Department of Civil and Environmental Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana 010000, Kazakhstan)

  • Saule Sadykova

    (Office of Research Policy and Analysis, Nazarbayev University, Astana 010000, Kazakhstan)

Abstract

There is a growing need for comprehensive and transparent frameworks in bibliometric evaluation that support fairer assessments and capture the multifaceted nature of research performance. This study proposes a novel methodology for identifying top-performing researchers based on a composite performance index (CPI). Unlike existing rankings, this framework presents a multidimensional approach by integrating sixteen weighted bibliometrics metrics, spanning research productivity, citation, publications in top journal percentiles, authorship roles, and international collaboration, into a single CPI, enabling a more nuanced and equitable evaluation of researcher performance. Data were retrieved from SciVal for 1996–2025. Two ranking exercises were conducted with Kazakhstan as the analytical unit. Subject-specific rankings identified the top 1% authors within different research areas, while subject-independent rankings highlighted the overall top 1%. CPI distributions varied markedly across disciplines. A comparative analysis with the Stanford/Elsevier global top 2% list was conducted as additional benchmarking. The results highlight that academic excellence depends on a broad spectrum of strengths beyond just productivity, particularly in competitive disciplines. The CPI provides a consistent and adaptable tool for assessing and recognizing research performance; however, future refinements should enhance data coverage, improve representation of early-career researchers, and integrate qualitative aspects.

Suggested Citation

  • Alexey Remizov & Shazim Ali Memon & Saule Sadykova, 2025. "A Novel Methodology for Identifying the Top 1% Scientists Using a Composite Performance Index," Publications, MDPI, vol. 13(4), pages 1-37, November.
  • Handle: RePEc:gam:jpubli:v:13:y:2025:i:4:p:55-:d:1785663
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