A Website Review of AD Scientific Index: Evaluating its Methodology, Applications, and Impact on Research Assessment
Chaman Sab M1, Mueen Ahmed KK2★, Vitthal Bagalkoti3★ Corresponding author
- 1A.R.G. College of Arts and Commerce, Davanagere, Karnataka, INDIA.
- 2Manuscript Technomedia, No. 9, St. Thomas Town, Bangalore, Karnataka, INDIA.
- 3CMR University, Bangalore, Karnataka, INDIA.
CORRESPONDENCE
Mueen Ahmed KK
Manuscript Technomedia, No. 9, St. Thomas Town, Bangalore, Karnataka, INDIA.
Received: 28-11-2024; Revised: 12-01-2025; Accepted: 02-04-2025.
Volume 4, Issue 1 · pp. 115–120 · PUBLISHED · DOI: 10.5530/jcitation.20250169
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ABSTRACT
The AD Scientific Index (Alper-Doger Scientific Index) is an emerging research evaluation tool that ranks individual researchers based on Google Scholar citation metrics. Unlike traditional scientometric tools such as Scopus, Web of Science, and Google Scholar Metrics, it provides real-time updates, researcher mobility tracking, and six-year applications, advantages, and limitations of the AD Scientific Index in comparison with other major Scientometric tools. While the AD Scientific Index offers dynamic and transparent ranking. Its heavy reliance on Google Scholar raises concerns about citation inflation, non-peer-reviewed content inclusion, self-citation manipulation, and lack of field normalization. Researchers in highly cited fields tend to dominate rankings, while disciplines with lower citation averages are underrepresented. Despite these limitations, the AD Scientific Index serves as a valuable supplementary tool for evaluating individual research impact. However, for a comprehensive assessment, it should be used alongside established scientometric databases like Scopus and Web of Science. The study concludes that while the AD Scientific Index enhances researcher visibility, its ranking should be interpreted cautiously, with a focus on quality over quantity in research evaluation.
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M, C. S., KK, M. A., & Bagalkoti, V. (). A Website Review of AD Scientific Index: Evaluating its Methodology, Applications, and Impact on Research Assessment. Journal of Data Science, Informetrics, and Citation Studies, 4(1), 115–120. https://doi.org/10.5530/jcitation.20250169
