Bennett University Reports Recognition for 18 Researchers in Global Scientists Database
Bennett University has reported a notable achievement in research, with 18 researchers featured in the single year impact category of the Stanford Elsevier World’s Top 2 Percent Scientists database. Four researchers have also been included in the career long impact category, according to the figures provided in the announcement.
The latest Version 9 of the database was published on October 7, 2026. The database, compiled using scientific publication and citation information from Scopus, provides a standardised way to assess the citation impact of researchers across different scientific disciplines.
The reported inclusion places Bennett University researchers among scholars recognised through a widely referenced global citation database. It also draws attention to the importance of research publications, collaboration and academic contributions in strengthening the international visibility of higher education institutions.
Understanding the Stanford Elsevier Scientists Database
The World’s Top 2 Percent Scientists database is associated with research led by Stanford University scholar John P. A. Ioannidis and collaborators, with data made available through Elsevier’s research data repository. It presents information about researchers across scientific fields and subfields using standardised citation indicators.
The database contains two major categories of assessment. One examines career long citation impact, while the other focuses on impact during a recent single year. These categories offer different perspectives on a researcher’s academic influence.
The career long category considers the accumulated citation impact of a researcher’s work over time. The single year category focuses on citations received during a specified recent calendar year. In Version 9, the single year data relate to citations received during 2025, while the career long data are updated through the end of 2025.
The distinction between these categories is important because researchers may have different publication histories and patterns of academic influence. Some may demonstrate sustained impact over several decades, while others may receive significant attention for work published or cited more recently.
How Researchers Are Evaluated
The database uses a composite indicator known as the c score, along with other standardised citation measures. The indicators take into account factors such as citations, publication authorship positions and citation impact across scientific fields and subfields.
The selection process draws on Scopus author profiles and includes researchers who meet the database’s stated selection criteria. According to the Version 9 dataset description, selection is based on inclusion among the top 100,000 scientists by c score, with and without self citations, or a percentile rank of 2 percent or above within a relevant subfield.
This methodology is designed to support comparisons across research areas, although citation patterns can vary significantly between disciplines. The database’s creators also caution that citation indicators have limitations and should be interpreted carefully. Inclusion in the database is an indicator of citation based impact, rather than a complete measure of a researcher’s overall quality or contribution.
Significance for Bennett University
The reported inclusion of 18 researchers in the single year category and four in the career long category provides a measure of the research visibility associated with Bennett University. The recognition may also help draw attention to the academic work being undertaken by its faculty members across their respective disciplines.
For universities, research visibility can contribute to academic collaboration, opportunities for interdisciplinary projects and stronger engagement with the wider scientific community. Research publications and citations can also help other scholars identify relevant work and build upon existing findings.
However, a university’s research performance cannot be assessed through a single ranking or database alone. Other relevant measures include the quality and reproducibility of research, the practical value of findings, collaboration with other institutions, research integrity, student participation and the broader impact of academic work.
The reported figures therefore provide one perspective on the institution’s research presence. The names of the researchers, their departments and the fields in which they were recognised should be checked against the official Version 9 records before being added to the published article.
The Wider Importance of Research Recognition
International research databases can help readers understand how academic work is cited and discussed within the scientific community. They can also provide useful reference points for universities seeking to assess the visibility of their researchers across different disciplines.
At the same time, citation counts and composite indicators should be considered alongside other evidence. Citation levels differ across fields, and the age of a publication, the size of a research community and patterns of collaboration can influence citation outcomes.
The Stanford Elsevier database provides separate career long and single year measures to reflect different dimensions of citation impact. Its documentation also explains that researchers who do not appear in the database should not automatically be considered to have produced low quality research. Their indicator scores may simply fall outside the stated selection thresholds.
For Bennett University, the reported result offers an opportunity to highlight its researchers’ contributions while placing the figures within the context of the database’s methodology. Readers should consult the original dataset and the university’s official announcement for confirmation of the institutional count and the identities of the researchers.
The Version 9 database is publicly available through Elsevier’s data repository. Checking the original records before publication will help ensure that the final report accurately reflects the published data and distinguishes verified information from institutional claims.
