
Citation counts often follow a power-law distribution. To prevent single outlier papers from skewing the entire dataset, we apply a Log₁₀ transformation. This ensures that rankings reflect consistent high-quality research rather than viral anomalies.
Unlike simple counting, our engine employs a multi-factor verification system. We cross-reference DOIs against University affiliations to ensure that "Volume" represents distinct, validated scientific contributions.
We recognize that not all authors contribute equally. Our algorithm parses the Author List Order to assign weighted credit (e.g., First Author vs. Principal Investigator), ensuring credit is given where it is scientifically due.
To ensure citation maturity and data stability, this ranking analyzes a specific publication window from 1 July 2024 to 30 June 2025. This standardized 12-month horizon provides a balanced observation period, allowing recently published research sufficient time to be indexed across global bibliometric databases and accrue measurable scientific impact before the 2026 award cycle.