Qing Ke, Alexander J. Gates, and Albert-László Barabási
PNAS 120 (48) e2309378120
Distinct citation practices across time and discipline limit our ability to compare different scientific achievements. For example, raw citation counts suggest that advancements in biomedical research have consistently overshadowed the accomplishments from all other disciplines. Here, we introduce a network-based methodology for normalizing citation counts that mitigates the effects of temporal and disciplinary variations in citations. The method allows us to highlight successful periods of scientific discovery across the disciplines and provides insights into the evolution of science.
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