Surprising Resilience of Scientific Publication during a Global Pandemic: A Large‐Scale Bibliometric Analysis
Year: 2025
Type: article
Abstract: ABSTRACT Drawing on a global bibliographic corpus covering more than 23 million papers and 10 million disambiguated authors, we present the first longitudinal, institution‐level portrait of how COVID‐19 perturbed research activity and collaboration. Using multilevel regression and interrupted‐time‐series analysis, we trace participation, productivity, and collaboration for researchers at the 1,000 historically most‐productive universities prior to 2020, stratified by geography, field, career stage, and gender. Publication counts and co‐authorship networks surged in 2020, signaling an unexpected, rapid mobilization and resilience of the research system. Yet by late 2022 these metrics had reverted to their pre‐pandemic trajectories, indicating that the spike was a short‐lived reprioritization rather than a lasting shift. The lag inherent in many experimental pipelines – especially wet‐lab science – raises the prospect of delayed losses not yet visible within our time frame. Our study establishes an evidence‐based baseline for monitoring longer‐term effects and offers actionable insights for science‐policy makers seeking to safeguard research capacity during future global crises.
DOI: 10.1002/pra2.1278
Authors: Casandra Rusti, Kian Ahrabian, Ziao Wang, Jay Pujara, Kristina Lerman
Institutions: University of Southern California, Tsinghua University
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W7092177237