A Novel Methodology for Identifying the Top 1% Scientists Using a Composite Performance Index
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.
Authors
- Shazim Ali Memon (ORCID: https://orcid.org/0000-0001-6625-8811)
- Alexey Remizov (ORCID: https://orcid.org/0000-0001-6590-5634)
- Saule Sadykova
Institutions
- Nazarbayev University (KZ)
Publication Details
- Journal
- Publications
- Published
- 2025-11-02
- DOI
- https://doi.org/10.3390/publications13040055
- Primary Topic
- scientometrics and bibliometrics research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Nazarbayev University