Large scientific teams are more, not less, disruptive

2026-10-05

AI Summary

This study addresses the measurement bias in conventional disruption indices, which are mechanically confounded by reference list length and have led to the prevailing assumption that small teams produce more disruptive science. Through a large-scale bibliometric analysis of sixty million publications, this work exposes these metric deficiencies and develops a reference-robust measure based on single-reference comparisons. By integrating statistical distribution balancing with a multi-benchmark validation framework, the proposed approach effectively eliminates systematic biases. The findings overturn the erroneous conclusion that smaller teams are inherently more disruptive, demonstrating instead that larger teams consistently generate more disruptive research across diverse fields and time periods. Furthermore, the novel metric more accurately identifies Nobel Prize-caliber breakthroughs, providing a reliable instrument for authentically assessing the relationship between team size and scientific innovation.

Abstract

Modern science has moved decisively toward larger and more collaborative research teams. Yet an influential 2019 study reported that small teams are more disruptive than large teams, a conclusion difficult to reconcile with both the well-known trend toward increasing collaboration and the disproportionately large teams behind widely recognized disruptive research, such as work that has been awarded Nobel Prizes. Here we show that the reported disruptive advantage of small teams is largely an artifact of measurement rather than a fact about teams. Analyzing about 60 million scientific publications, we find that larger teams cite more references and that the standard disruption index declines mechanically as reference lists lengthen. Equalizing reference-count distributions across team sizes reverses the negative gradient within the index's own framework. Evaluating each paper against one reference at a time yields a reference-robust measure that distinguishes recognized breakthroughs from ordinary papers more sharply and more consistently than the standard disruption index across six independently curated benchmarks, including the Nobel Prize. Under this validated measurement, scientific disruption increases with team size across four scientific domains and in every decade from the 1970s to the 2010s. For scientific publications, we conclude that larger teams are more, not less, disruptive.

Problem

• scientific disruption
• team size
• disruption index
• measurement artifact
• scientific collaboration

Innovation

• disruption index
• reference-robust measure
• team size
• scientific collaboration
• measurement artifact