TMLR Adopts Fractional Authorship, Weighing Credit by 1/k per Author
thegautamkamath · x · 2026-08-01
Discussing the difference between single and co-authors in academic evaluation, a researcher proposed a fractional authorship system.
- Calculation: For a paper with $k$ authors, each author receives $1/k$ of the credit, aligning individual academic recognition with actual contribution.
- Current Practice: The machine learning journal TMLR already implements a similar mechanism, though the actual cost per author is approximately $(\log k)/k$.
- Evaluation: The scholar suggests setting a unified cap of 2-3 for academic assessments to incentivize quality over quantity.
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