ResearchHub · Scientist Ranking Academy
Field Normalisation: Why Scientists Need Like-for-Like Comparisons
Find out how discipline-specific baselines can reduce unfair comparisons between researchers in different subjects.
The problem with raw comparisons
Research areas differ in publication volume, typical team size and citation behaviour. An epidemiology paper and a specialist mathematics proof operate in different citation environments. Ranking everyone by unadjusted totals risks favouring fields where papers are numerous and references accumulate quickly.
A field-based baseline
Field normalisation compares a metric with a relevant group rather than with all researchers indiscriminately. Depending on the method, a ranking may use percentiles or other relative statistics. Its field taxonomy and cohort size should be published so readers can judge whether a comparison is meaningful.
Small cohorts need caution
Specialist subfields may contain too few sufficiently documented researchers to form a stable reference distribution. RSIS-2026.1 describes use of a field cohort when sufficient comparable evidence exists and a fallback to a broader eligible cohort otherwise. Such a fallback must not be portrayed as identical to a complete specialist benchmark.
Classification is a judgment
Interdisciplinary scientists may span several legitimate fields. Assigning a single category can simplify a leaderboard while hiding cross-field contributions. Researchers should be able to inspect their classification, identify evidence problems and request correction where warranted.
