Resource and Time-Adjusted Research Productivity Index for Funding Allocations Using Critical Thinking and Ethics in Decision Making

Performance-based funding rewards citations and grants already accumulated, not output relative to the resources a researcher actually had. This paper critiques that logic, using Sorzano and Pueche-Granados (2026) as the test case, and proposes the Resource- and Time-Adjusted Research Productivity Index (RTA-RPI): scientific output divided by cumulative resource exposure. RTA-RPI exposes funding efficiency that raw bibliometrics hide, and gives early-career and underfunded researchers a fair basis for comparison. Applied math is only as fair as the assumptions behind it: critical thinking about what a formula leaves out --- who had less time, less money, less visibility --- matters more than the formula itself, since an unexamined metric just launders existing bias through a number neglecting ethics.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-08
DOI
https://doi.org/10.5281/zenodo.24057337
Primary Topic
scientometrics and bibliometrics research
Type
preprint
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preprint

Resource and Time-Adjusted Research Productivity Index for Funding Allocations Using Critical Thinking and Ethics in Decision Making

Daniel Saatchi
Zenodo (CERN European Organization for Nuclear Research)
scientometrics and bibliometrics research
preprint

Resource and Time-Adjusted Research Productivity Index for Funding Allocations Using Critical Thinking and Ethics in Decision Making

Daniel Saatchi
preprint en

Abstract

Performance-based funding rewards citations and grants already accumulated, not output relative to the resources a researcher actually had. This paper critiques that logic, using Sorzano and Pueche-Granados (2026) as the test case, and proposes the Resource- and Time-Adjusted Research Productivity Index (RTA-RPI): scientific output divided by cumulative resource exposure. RTA-RPI exposes funding efficiency that raw bibliometrics hide, and gives early-career and underfunded researchers a fair basis for comparison. Applied math is only as fair as the assumptions behind it: critical thinking about what a formula leaves out --- who had less time, less money, less visibility --- matters more than the formula itself, since an unexamined metric just launders existing bias through a number neglecting ethics.

Zenodo (CERN European Organization for Nuclear Research)
scientometrics and bibliometrics research
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