| Evidence for a collective intelligence factor in the performance of human groups AW Woolley, CF Chabris, A Pentland, N Hashmi, TW Malone science 330 (6004), 686-688, 2010 | 3840 | 2010 |
| Human trust in artificial intelligence: Review of empirical research E Glikson, AW Woolley Academy of management annals 14 (2), 627-660, 2020 | 2747 | 2020 |
| Gender diversity leads to better science MW Nielsen, S Alegria, L Börjeson, H Etzkowitz, HJ Falk-Krzesinski, ... Proceedings of the National Academy of Sciences 114 (8), 1740-1742, 2017 | 744 | 2017 |
| The role of gender in team collaboration and performance JB Bear, AW Woolley Interdisciplinary science reviews 36 (2), 146-153, 2011 | 619 | 2011 |
| Multiple team membership: A theoretical model of its effects on productivity and learning for individuals and teams MB O'leary, M Mortensen, AW Woolley Academy of Management Review 36 (3), 461-478, 2011 | 616 | 2011 |
| Collective intelligence and group performance AW Woolley, I Aggarwal, TW Malone Current Directions in Psychological Science 24 (6), 420-424, 2015 | 610 | 2015 |
| Reading the mind in the eyes or reading between the lines? Theory of mind predicts collective intelligence equally well online and face-to-face D Engel, AW Woolley, LX Jing, CF Chabris, TW Malone PloS one 9 (12), e115212, 2014 | 397 | 2014 |
| Construct validity of a self-report measure of teacher beliefs related to constructivist and traditional approaches to teaching and learning SL Woolley, WJJ Benjamin, AW Woolley Educational and psychological measurement 64 (2), 319-331, 2004 | 323 | 2004 |
| Team creativity, cognition, and cognitive style diversity I Aggarwal, AW Woolley Management Science 65 (4), 1586-1599, 2019 | 305 | 2019 |
| What makes a strong team? Using collective intelligence to predict team performance in League of Legends YJ Kim, D Engel, AW Woolley, JYT Lin, N McArthur, TW Malone Proceedings of the 2017 ACM conference on computer supported cooperative …, 2017 | 238 | 2017 |
| What makes a team smarter? More women A Woolley, T Malone Harvard business review 89 (6), 32-33, 2011 | 215 | 2011 |
| Bringing in the experts: How team composition and collaborative planning jointly shape analytic effectiveness AW Woolley, ME Gerbasi, CF Chabris, SM Kosslyn, JR Hackman Small Group Research 39 (3), 352-371, 2008 | 206 | 2008 |
| Teamwork in health care: maximizing collective intelligence via inclusive collaboration and open communication AT Mayo, AW Woolley AMA journal of ethics 18 (9), 933-940, 2016 | 193 | 2016 |
| The impact of cognitive style diversity on implicit learning in teams I Aggarwal, AW Woolley, CF Chabris, TW Malone Frontiers in psychology 10, 112, 2019 | 190 | 2019 |
| Quantifying collective intelligence in human groups C Riedl, YJ Kim, P Gupta, TW Malone, AW Woolley Proceedings of the National Academy of Sciences 118 (21), e2005737118, 2021 | 182 | 2021 |
| Harnessing the power of emergent interdependence to promote diverse team collaboration HM Caruso, A Williams Woolley Diversity and groups, 245-266, 2008 | 178 | 2008 |
| Teams vs. crowds: A field test of the relative contribution of incentives, member ability, and emergent collaboration to crowd-based problem solving performance C Riedl, AW Woolley Academy of Management Discoveries 3 (4), 382-403, 2017 | 155 | 2017 |
| Deep structures of collaboration: Physiological correlates of collective intelligence and group satisfaction P Chikersal, M Tomprou, YJ Kim, AW Woolley, L Dabbish Proceedings of the 2017 ACM conference on computer supported cooperative …, 2017 | 147 | 2017 |
| Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14 (2), 627–660 E Glikson, AW Woolley | 142 | 2018 |
| How large language models can reshape collective intelligence JW Burton, E Lopez-Lopez, S Hechtlinger, Z Rahwan, S Aeschbach, ... Nature human behaviour 8 (9), 1643-1655, 2024 | 138 | 2024 |
