Cited by 382Team Dynamics and PerformanceSocial and Intergroup PsychologyCognitive Abilities and Testing

The DOI matches its Crossref record; 27 of the 28 references it cites were found in a registry or an index.

Collective Intelligence and Group Performance

Woolley, Anita Williams, Aggarwal, Ishani, Malone, Thomas W.·2015·Current Directions in Psychological Science

Open this paper in CoChat — free account

Abstract

We review recent research on collective intelligence, which we define as the ability of a group to perform a wide variety of tasks. We focus on two influences on a group’s collective intelligence: (a) group composition (e.g., the members’ skills, diversity, and intelligence) and (b) group interaction (e.g., structures, processes, and norms). We also call for more research to investigate how social interventions and technological tools can be used to enhance collective intelligence.

Integrity signals

Registry

Crossref · 10.1177/0963721415599543

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Psychological Safety and Learning Behavior in Work Teams
Edmondson, A. (1999) · Administrative Science Quarterly · doi:10.2307/2666999 · Cited by 12,026
Research in Organizational Behavior.
Grimes, A. J., Cummings, L. L., & Staw, B. M. (1986) · Administrative Science Quarterly · doi:10.2307/2392975 · Cited by 11,303
"General Intelligence," Objectively Determined and Measured
Spearman, C. (1904) · The American Journal of Psychology · doi:10.2307/1412107 · Cited by 6,207
The “Reading the Mind in the Eyes” Test Revised Version: A Study with Normal Adults, and Adults with Asperger Syndrome or High‐functioning Autism
Baron‐Cohen, S., Wheelwright, S., Hill, J., Raste, Y., & Plumb, I. (2001) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00715 · Cited by 4,555
The "Reading the Mind in the Eyes" Test revised version: a study with normal adults, and adults with Asperger syndrome or high-functioning autism.
Baron‐Cohen, S., Wheelwright, S. J., Hill, J., Raste, Y., & Plumb, I. (2001) · PubMed · Cited by 4,313
Groups: Interaction and Performance.
Polley, R. B., & McGrath, J. E. (1984) · Administrative Science Quarterly · doi:10.2307/2393041 · Cited by 3,268
Task versus relationship conflict, team performance, and team member satisfaction: A meta-analysis.
De Dreu, C. K. W., & Weingart, L. R. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.4.741 · Cited by 3,071 · cited 1×
“…predicted by several other factors that previous research suggested might be predictive of well-functioning groups, including group satisfaction (De Dreu & Weingart, 2003), social cohesiveness (Stokes, 1983), and psychological safety (i.e., the shared belief that it is safe for the team to take…”
Background
Evidence for a Collective Intelligence Factor in the Performance of Human Groups
Woolley, A. W., Chabris, C. F., Pentland, A., Hashmi, N., & Malone, T. W. (2010) · Science · doi:10.1126/science.1193147 · Cited by 2,685
Self-citation
Teams in Organizations: From Input-Process-Output Models to IMOI Models
Ilgen, D. R., Hollenbeck, J. R., Johnson, M., & Jundt, D. (2005) · Annual Review of Psychology · doi:10.1146/annurev.psych.56.091103.070250 · Cited by 2,273
Handbook of Organizational Behavior
Price, R., D’Aunno, T. A., & Lorsch, J. W. (1988) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2070561 · Cited by 2,241

Show all 28 references

Research works printed but not linked: 5

Larson J. R. (2010). (See References). A more extensive review of the conditions that elicit synergistic gains in teams.
Aggarwal I., 2014, Symposium presented at the 50th Meeting of the Society of Experimental Social Psychology
Aggarwal I., 2015, Paper presented at the 2015 Collective Intelligence Conference
Chabris C. F., 2007, Integrating the mind: Domain general versus domain specific processes in higher cognition, 449
Kim Y. J., 2015, Paper presented at the 2015 Collective Intelligence Conference

Sorted by citations

Items 101–200 of 380

Corporate Sustainability Initiatives in Gender Equality: Organizational Practices Fostering Inclusiveness at Work in an Emerging-Market Context
Gülsoy, T. Y., & Ustabaş, A. (2018) · International Journal of Innovation and Technology Management · doi:10.1142/s0219877019400054 · Cited by 16
Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group
Dai, A., Zhao, Z., Li, R., Zhang, H., & Zhou, Y. (2020) · IEEE Access · doi:10.1109/access.2020.2971278 · Cited by 16
Impact of Collective Intelligence and Collective Emotional Intelligence on the Psychological Safety of the Organizations
Shankar, S., & Tewari, V. (2021) · Vision The Journal of Business Perspective · doi:10.1177/09722629211012256 · Cited by 21
In search of diverse and connected teams: A computational approach to assemble diverse teams based on members’ social networks
Gómez-Zará, D., Das, A., Pawlow, B., & Contractor, N. (2022) · PLoS ONE · doi:10.1371/journal.pone.0276061 · Cited by 15
On the social nature of abstraction: cognitive implications of interaction and diversity
Olsen, K., & Tylén, K. (2022) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2021.0361 · Cited by 18
The Difference in Open Innovation between Open Access and Closed Access, According to the Change of Collective Intelligence and Knowledge Amount
Yun, J. J., Liu, Z., Jeong, E., Kim, S., & Kim, K. (2022) · Sustainability · doi:10.3390/su14052574 · Cited by 15
The collective intelligence of random small crowds: A partial replication of Kosinski et al. (2012)
Vercammen, A., Ji, Y., & Burgman, M. A. (2019) · Judgment and Decision Making · doi:10.1017/s1930297500002941 · Cited by 15
You have got a (different) friend in me: Asymmetrical roles in gaming as potential ambassadors of computational and cooperative thinking
Gandolfi, E. (2018) · E-Learning and Digital Media · doi:10.1177/2042753018757757 · Cited by 15
Problem-solving in groups of common marmosets (Callithrix jacchus): more than the sum of its parts
Sehner, S., Willems, E. P., Vinicus, L., Migliano, A. B., van Schaik, C. P., & Burkart, J. M. (2022) · PNAS Nexus · doi:10.1093/pnasnexus/pgac168 · Cited by 15
Making sense of the collective intelligence field: A review
Söilen, K. S. (2019) · Journal of Intelligence Studies in Business · doi:10.37380/jisib.v9i2.465 · Cited by 14
Collective Intelligence in Project Groups: Reflections from the Field
Hansen, M. J., & Vaagen, H. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.09.233 · Cited by 16
Espace d’innovation : de nouveaux lieux pour l’intelligence collective ?
Morel, L., Dupont, L., & Boudarel, M.-R. (2018) · Technologie et innovation · doi:10.21494/iste.op.2018.0236 · Cited by 14
Amplifying the Social Intelligence of Teams Through Human Swarming
Rosenberg, L. B., Willcox, G., Askay, D. A., Metcalf, L. E., & Harris, E. (2018) · International Conference on Artificial Intelligence for Industries (AI4I) · doi:10.1109/ai4i.2018.8665698 · Cited by 14
A new interpretation of scientific collaboration patterns from the perspective of symbiosis: An investigation for long-term collaboration in publications
Liu, J., Guo, X., Xu, S., Song, Y., & Ding, K. (2023) · Journal of Informetrics · doi:10.1016/j.joi.2022.101372 · Cited by 13
Enhancing public sector enterprise risk management through interactive information processing
Andersen, T. J., & Young, P. C. (2023) · Frontiers in Research Metrics and Analytics · doi:10.3389/frma.2023.1239447 · Cited by 29
Does Selective Sales Force Training Work?
Atefi, Y., Ahearne, M., Maxham, J. G., Donavan, D. T., & Carlson, B. D. (2018) · Journal of Marketing Research · doi:10.1509/jmr.15.0334 · Cited by 13
Comparing Groups of Independent Solvers and Transmission Chains as Methods for Collective Problem-Solving
Yahosseini, K. S., & Moussaïd, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-59946-9 · Cited by 14
Seen and Unseen Identities: Investigation of Gender and Sexual Orientation Identities in the General Chemistry Classroom
Kroll, J. A., & Plath, K. L. (2021) · Journal of Chemical Education · doi:10.1021/acs.jchemed.1c00374 · Cited by 13
Thin slices of workgroups
Satterstrom, P., Polzer, J. T., Kwan, L., Hauser, O., Wiruchnipawan, W., & Burke, M. (2019) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2018.12.007 · Cited by 12
Harmony in virtual space: Forum Kerukunan Umat Beragama (FKUB) development communication in creating digital literacy based on religious moderation
Humaizi, H., Hasan, N. N. N., Dalimunthe, M. A., & Ramadhani, E. (2024) · Journal of Infrastructure Policy and Development · doi:10.24294/jipd.v8i7.4299 · Cited by 12
Quantifying the impact of network structure on speed and accuracy in collective decision-making
Daniels, B. C., & Romańczuk, P. (2021) · Theory in Biosciences · doi:10.1007/s12064-020-00335-1 · Cited by 13
Too Much Trust in Group Decisions: Uncovering Hidden Profiles by Groups and Markets
Maciejovsky, B., & Budescu, D. V. (2020) · Organization Science · doi:10.1287/orsc.2020.1363 · Cited by 11
The composition and formation of effective teams: computer science meets organizational psychology
Andrejczuk, E., Berger, R., Rodríguez-Aguilar, J. A., Carles Sierra, A., & Marín-Puchades, V. (2018) · The Knowledge Engineering Review · doi:10.1017/s026988891800019x · Cited by 18
The effectiveness of interventions for youth that activate the social network: a meta-analytic study
Koper, N., van der Heijden, R. M., Donk, S., Kieu, T., Creemers, H. E., van Dam, L., Branje, S., & Stams, G. J. J. M. (2024) · Applied Developmental Science · doi:10.1080/10888691.2024.2317714 · Cited by 10
Technologies of collective intelligence in the management of business processes of an organization
Slavin, B. B. (2022) · Бизнес-информатика · doi:10.17323/2587-814x.2022.2.36.48 · Cited by 11
Gender Diversity in Investment Management: New Research for Practitioners on How to Close the Gender Gap
(2016) · doi:10.2470/rfbr.v2.n5.1 · Cited by 11
The social alignment theory of power: Predicting associative and dissociative behavior in hierarchies
Fast, N. J., & Overbeck, J. R. (2022) · Research in Organizational Behavior · doi:10.1016/j.riob.2022.100178 · Cited by 13
Group Structure and Information Distribution on the Emergence of Collective Intelligence
Tang, M., & Liao, H. (2023) · Decision Analysis · doi:10.1287/deca.2022.0466 · Cited by 11
Linking relationship quality and resourcefulness to group performance
Nasim, K., & Iqbal, M. Z. (2019) · International Journal of Productivity and Performance Management · doi:10.1108/ijppm-03-2018-0126 · Cited by 10
Predict Team Performance with E-CARGO
Zhu, H. (2018) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2018.00602 · Cited by 10
Rapid Creation of an Online Discussion Space (r/nipah) During a Serious Disease Outbreak: Observational Study
Cole, J., Ezziane, S., & Watkins, C. (2019) · JMIR Public Health and Surveillance · doi:10.2196/13753 · Cited by 10
The science of team science (SciTS): An emerging and evolving field of interdisciplinary collaboration
Huang, Y., Liu, X., Li, R., & Zhang, L. (2023) · El Profesional de la Informacion · doi:10.3145/epi.2023.mar.04 · Cited by 11
Environmental engagement among Latinos: an exploratory study of environmentalists in the greater Chicago area
Naiman, S. M., Schusler, T. M., & Schuldt, J. P. (2018) · Journal of Environmental Studies and Sciences · doi:10.1007/s13412-018-0511-8 · Cited by 9
Collaborative Learning in College Science: Evoking Positive Interdependence
Scager, K., Boonstra, J., Peeters, T., Vulperhorst, J. P., & Wiegant, F. A. C. (2020) · Springer eBooks · doi:10.1007/978-3-030-33600-4_16 · Cited by 9
Meritocracy and Representation
Sethi, R., & Somanathan, R. (2023) · Journal of Economic Literature · doi:10.1257/jel.20221707 · Cited by 8
Dancing to the #Challenge: The Effect of TikTok on Closing the Artist Gender Gap in the Music Industry
Wang, Y., Ramaprasad, J., & Gopal, A. (2025) · MIS Quarterly · doi:10.25300/misq/2024/18527 · Cited by 8
Developing and validating the co-creation rainbow framework for intrinsic evaluation of methods: a health CASCADE structured review of models representing co-creation principles
Agnello, D. M., Smith, N., Vogelsang, M., Steiner, A., An, Q., de Boer, J., Calò, F., Delfmann, L. R., Hutcheon, D., Longworth, G. R., et al. (2025) · Health Research Policy and Systems · doi:10.1186/s12961-025-01381-1 · Cited by 9
Emergence mechanisms of group consensus in social networks
Wang, M., & Zhang, Z. (2023) · Frontiers of Engineering Management · doi:10.1007/s42524-023-0277-x · Cited by 8
Made Better by Others? When Having More Diverse Colleagues Improves Individual Outcomes
Goradia, D., & Byron, K. (2024) · Production and Operations Management · doi:10.1177/10591478241238973 · Cited by 8
Toward a better understanding of team decision processes: combining laboratory experiments with agent-based modeling
Lorscheid, I., & Meyer, M. (2021) · Journal of Business Economics · doi:10.1007/s11573-021-01052-x · Cited by 9
Designing a Gender-Inclusive Conversational Agent For Pair Programming: An Empirical Investigation
Kuttal, S. K., Sedhain, A., & AuBuchon, J. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-77772-2_4 · Cited by 8
Intelligence collective et résilience entrepreneuriale à l’ère de la Covid-19
Mignenan, V. (2022) · Revue Management & Innovation · doi:10.3917/rmi.205.0093 · Cited by 8
The Morphospace of Consciousness: Three Kinds of Complexity for Minds and Machines
Arsiwalla, X. D., Solé, R. V., Moulin-Frier, C., Herreros, I., Sánchez-Fibla, M., & Verschure, P. F. M. J. (2023) · NeuroSci · doi:10.3390/neurosci4020009 · Cited by 10
Algorithmic and human prediction of success in human collaboration from visual features
Saveski, M., Awad, E., Rahwan, I., & Cebrián, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-81145-3 · Cited by 9
Virtual Collaborative Analysis: Effects of Two AI Summarizers
Kane, A. A., Paletz, S. B. F., Diep, M. M., Hajkowski, A., & Porter, A. (2025) · Small Group Research · doi:10.1177/10464964251361563 · Cited by 7
Collective intelligence: Scale development and validation
Kaur, R., & Shah, R. (2018) · Journal of Human Behavior in the Social Environment · doi:10.1080/10911359.2018.1432438 · Cited by 7
The Science of Teamwork in Healthcare: Importance to Patient Outcome
Szalados, J. E. (2021) · Springer eBooks · doi:10.1007/978-3-030-68570-6_8 · Cited by 7
The Wisdom of Crowds vs. the Madness of Mobs: An Evolutionary Model of Bias, Polarization, and Other Challenges to Collective Intelligence
Lo, A. W., & Zhang, R. (2021) · Collective Intelligence · doi:10.1177/26339137221104785 · Cited by 13
Hidden Indicators of Collective Intelligence in Crowdfunding
Horvát, E.-Á., Dambanemuya, H. K., Uparna, J. S., & Uzzi, B. (2023) · International World Wide Web Conference (WWW) · doi:10.1145/3543507.3583414 · Cited by 7
Adversarial Dynamics in Centralized Versus Decentralized Intelligent Systems
Brinkmann, L. U. L., Cebrián, M., & Pescetelli, N. (2023) · Topics in Cognitive Science · doi:10.1111/tops.12705 · Cited by 7
Introduction to the guest‐edited issue: Synergies in second language acquisition and teaching (SLA/T)
Atkinson, D., Michel, M. C., & Ribeiro, A. C. (2025) · Modern Language Journal · doi:10.1111/modl.12975 · Cited by 6
Analysing the epistemic consensus of fisheries co-management systems as a formula for democratic innovation and open government
Villamizar, J. S., & Garcı́a-Allut, A. (2025) · Marine Policy · doi:10.1016/j.marpol.2025.106651 · Cited by 6
Getting better with age: Lessons from the Kenya Long‐term Exclosure Experiment ( KLEE )
Riginos, C., Kimuyu, D. M., Veblen, K. E., Porensky, L. M., Odadi, W. O., Sensenig, R. L., Wells, H. B. M., & Young, T. P. (2024) · Ecology Letters · doi:10.1111/ele.14466 · Cited by 6
Short Paper: Swarm Intelligence Amplifies the IQ of Collaborating Teams
Willcox, G., & Rosenberg, L. B. (2019) · International Conference on Artificial Intelligence for Industries (AI4I) · doi:10.1109/ai4i46381.2019.00036 · Cited by 6
The influence of real estate brokers’ personalities, psychological empowerment, social capital, and knowledge sharing on their innovation performance: The moderating effect of moral hazard
Chang, H.-C., Lee, C., Yeh, W.-C., & Chang, Y.-L. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.971339 · Cited by 6
Is There Gender Bias in Radiology Job Postings?
Sella, E., Joshi, A., Balasubramanian, S., Senthilkumar, D., Ma, T., & Agarwal, P. (2022) · Current Problems in Diagnostic Radiology · doi:10.1067/j.cpradiol.2022.11.002 · Cited by 6
Development of collective intelligence in the enterprises’ digital transformation
Ostrovska, H., Strutynska, I., Шерстюк, Р., Pietukhova, O., & Yasinetska, I. (2023) · Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu · doi:10.33271/nvngu/2023-3/157 · Cited by 6
Collective Intelligence: When, Where and Why
Nehra, V., Nagpal, R., & Sehgal, R. (2020) · International Conference on Cloud Computing, Data Science & Engineering (Confluence) · doi:10.1109/confluence47617.2020.9058000 · Cited by 6
Crowd control: Reducing individual estimation bias by sharing biased social information
Jayles, B., Sire, C., & Kurvers, R. H. J. M. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009590 · Cited by 10
PIECE Together
Goncalo, J. A., Katz, J. H., & Ellis, L. M. (2019) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190648077.013.13 · Cited by 6
Detecting the Online Image of “Average” Restaurants on TripAdvisor
Jakopović, H. (2016) · Medijske studije · doi:10.20901/ms.7.13.6 · Cited by 5
The Peer to Peer Social Fabric as a Platform for General Collective IntelligencePreprint
Williams, A. E. (2020) · doi:10.31730/osf.io/qbxfr · Cited by 6
Effect of Online Collective Intelligence in Wine Industry: Focus on Correlation between Wine Quality Ratings and On-Premise Prices
Kwak, Y., Nam, Y., & Hong, J.-W. (2021) · Sustainability · doi:10.3390/su13148001 · Cited by 5
Draw to a close: inventor triad dynamics and invention quality
Ding, N., Markus, A., & Oerlemans, L. A. G. (2024) · Industry and Innovation · doi:10.1080/13662716.2024.2378902 · Cited by 5
Bridging gaps: the role of gender and team composition in collective intelligence within STEM education
Valenzuela, F. E. B., Salas, N., & Huepe, D. (2025) · Cogent Education · doi:10.1080/2331186x.2024.2439655 · Cited by 5
The optimal knowledge creation strategy of organizations in groupthink situations
Cha, N., Hwang, J., & Kim, E. (2020) · Computational and Mathematical Organization Theory · doi:10.1007/s10588-020-09313-w · Cited by 5
FORKING PATHS OF CULTURAL COMPLEXITY: A CASE STUDY OF RESEARCH PARADIGMS
Borycz, J., Horne, B. D., & Bentley, R. A. (2022) · Advances in Complex Systems · doi:10.1142/s0219525922400045 · Cited by 5
Harnessing the benefits of diversity to address socio-environmental governance challenges
Baggio, J. A., Freeman, J., Coyle, T. R., & Anderies, J. M. (2022) · PLoS ONE · doi:10.1371/journal.pone.0263399 · Cited by 6
Self-organization in online collaborative work settings
Lykourentzou, I., Vinella, F. L., Ahmed, F., Papastathis, C., Papangelis, K., Khan, V.-J., & Masthoff, J. (2022) · Collective Intelligence · doi:10.1177/26339137221078005 · Cited by 14
Developing Teamwork Skills in Undergraduate Engineering Students: A Comparison Between Disciplinary and Cross-Disciplinary Projects
Cima, F., Pazos, P., Lee, M., Gutierrez, K. S., Kidd, J. M., Ayala, O., Ringleb, S. I., Kaipa, K. N., & Rhemer, D. (2024) · IEEE Transactions on Education · doi:10.1109/te.2024.3456098 · Cited by 5
Collective intelligence in information systems
Nguyên, N. T., Szczerbicki, E., Trawiński, B., & Nguyen, V. D. (2019) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-179324 · Cited by 5
Developing a Multimodal Interactive Learning Environment to Enhance the Reading Comprehension of Grade 4 Students in the UAE Public Schools
Alhabshi, W., & Abdelaziz, H. A. (2022) · International Journal of Learning Teaching and Educational Research · doi:10.26803/ijlter.21.1.14 · Cited by 5
Cognitive Performance Enhancement for Multi-domain Operations
Herlihy, D. J. (2022) · The US Army War College Quarterly Parameters · doi:10.55540/0031-1723.3188 · Cited by 5
DIVERSITY AS AN ADVANTAGE: AN ANALYSIS OF CAREER COMPETENCIES FOR IT STUDENTS
Brockmann, P., Schuhbauer, H., & Hinze, A. (2019) · Cognition and Exploratory Learning in Digital Age · doi:10.33965/celda2019_201911l026 · Cited by 5
Did It Have to End This Way? Understanding the Consistency of Team Fracture
Whiting, M. E., Blaising, A., Barreau, C., Fiuza, L., Marda, N., Valentine, M., & Bernstein, M. S. (2020) · Understanding innovation · doi:10.1007/978-3-030-62037-0_11 · Cited by 7
The Wisdom of Crowds vs. the Madness of Mobs: An Evolutionary Model of Bias, Polarization, and Other Challenges to Collective IntelligencePreprint
Lo, A. W., & Zhang, R. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3979339 · Cited by 5
Les déchets plastiques dans l’océan au cœur de l’Aquathon d’Abidjan, Côte d’Ivoire
Koumi, A. R., Shchérazade, O.-S. F., Quéré, Y., Louault, Y., Amalatchy, Y., Coulibaly, S., Yao, K. M., Atse, B. C., Sankaré, Y., & Cecchi, P. (2021) · Natures Sciences Sociétés · doi:10.1051/nss/2022004 · Cited by 5
Conversational Swarms of Humans and AI Agents enable Hybrid Collaborative Decision-making
Rosenberg, L. B., Schumann, H., Dishop, C. R., Willcox, G., Woolley, A. W., & Mani, G. (2024) · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) · doi:10.1109/uemcon62879.2024.10754763 · Cited by 4
Self-citation
Developing and validating a team cultural intelligence scale
Bücker, J. J. L. E., & Korzilius, H. P. L. M. (2024) · Applied Psychology · doi:10.1111/apps.12521 · Cited by 5
Team formation through an assessor: choosing MARL agents in pursuit–evasion games
Yue, Z., Ju, L., & Hernández‐Orallo, J. (2024) · Complex & Intelligent Systems · doi:10.1007/s40747-023-01336-5 · Cited by 6
Impact of the Use of Emerging Technologies on Organisational Knowledge-creation Capability by Task Complexity
Cha, N., & Kim, E. (2024) · Science Technology and Society · doi:10.1177/09717218241238206 · Cited by 4
Taxonomy for Applied Human-Machine Teaming for Space System Domains
Endsley, T., & Appleby, B. D. (2024) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero58975.2024.10521432 · Cited by 4
Interpersonal factors that contribute to collective intelligence in small groups a qualitative systematic review
Jeffredo, A., Clesse, C., & Batt, M. (2024) · Mind & Society · doi:10.1007/s11299-024-00307-8 · Cited by 7
Perfiles psicosociales de usuarios de entornos virtuales: motivaciones, conductas y consecuencias
Solinís, M. Á. G., & Serrano, M. M. (2019) · Universitas Psychologica · doi:10.11144/javeriana.upsy18-3.ppue · Cited by 4
We, too, are academia: Demanding a seat at the table
Pirtle, W. N. L. (2021) · Feminist Anthropology · doi:10.1002/fea2.12030 · Cited by 4
Exploring EFL Teachers Perspectives on Collaborative Learning Activities in Senior High School Contexts
Wijaya, K. F. (2021) · JET (Journal of English Teaching) · doi:10.33541/jet.v7i2.2341 · Cited by 4
What comprises social intelligence and can it predict knowledge sharing among diverse information professionals?
Heo, M., Toomey, N., & Song, J.-S. (2021) · Library & Information Science Research · doi:10.1016/j.lisr.2021.101137 · Cited by 5
Tackling communication and analytical problems in environmental planning: Expert assessment of key definitions and their relationships
Wallace, K. J., Wagner, C., Pannell, D. J., Kim, M. K., & Rogers, A. A. (2022) · Journal of Environmental Management · doi:10.1016/j.jenvman.2022.115352 · Cited by 4
Harnessing collective intelligence for the future of learning – a co-constructed research and development agenda
Misevic, D., Atal, I., Bédard, D., Cherel, E., Escamilla, J., Evans, L., Hannon, V., Huron, C., Irrmann, O., Kizilcec, R. F., et al. (2023) · Human Computation · doi:10.15346/hc.v10i1.141 · Cited by 4
Emotion Feedback in Small Group Collaboration: A Research Agenda for Group Emotion Management Support Systems
Knierim, M. T., Hariharan, A., Dorner, V., & Weinhardt, C. (2017) · WU Research · Cited by 4
A Multisensory Platform for Maximizing Collective Intelligence in the Operating Room
Presti, D. L., Gravina, R., Massaroni, C., Formica, D., Schena, E., & Fortino, G. (2021) · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies · doi:10.1109/chase52844.2021.00039 · Cited by 4
A Strategy for Role Assignment in Simulation Using Collaborative Cognition
Carey, J. M., Woo, J., Lindley, M. K., Lewis, A. Z., & Wilburn, B. (2018) · Journal of Nursing Education · doi:10.3928/01484834-20181022-13 · Cited by 4
Prosumers y la profesionalización del periodismo ciudadano: El caso www.eurovision-spain.com.
Lladó, C. M., Cervi, L., & Sanandrés, C. (2021) · Ámbitos Revista Internacional de Comunicación · doi:10.12795/ambitos.2021.i52.01 · Cited by 4
The Use of Collective Intelligence to Create Efficient Marketing Strategies
Derbani, A., & Banani, A. (2020) · Jurnal Pamator Jurnal Ilmiah Universitas Trunojoyo · doi:10.21107/pamator.v13i2.7326 · Cited by 3
Non-Ideal Virtue and Situationism
Taylor, M. (2021) · The Journal of Ethics · doi:10.1007/s10892-021-09375-1 · Cited by 3
Interdisciplinarity, Gender Diversity, and Network Structure Predict the Centrality of AI Organizations
Vlasceanu, M., Dudı́k, M., & Momennejad, I. (2022) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3531146.3533069 · Cited by 6
Exploring Teachers’ Perceptions of EFL Students’ Engagement in Collaborative Learning: Implementation Issues and Suggestions
Alzubi, A. A. F., Nazim, M., & Ahmad, J. (2024) · Qubahan Academic Journal · doi:10.48161/qaj.v4n1a383 · Cited by 3
Collective cognition based analysis of community structure discovery algorithms
Xiong, P., Liu, Z., Wei, P., & Liu, T. (2024) · Cognitive Systems Research · doi:10.1016/j.cogsys.2024.101241 · Cited by 3
Critical Collaboration in the Classroom: Sharing Power in the Co-Creation Process Among Faculty, Students, and Community Partners
DelSesto, M., Gardner, R., Edell, D., Rojas, M., Chéry, C., Sacks, C. A., Masiakos, P. T., & Gordon, E. (2025) · Innovative Higher Education · doi:10.1007/s10755-025-09840-x · Cited by 4
Adolescent’s Collective Intelligence: Empirical Evidence in Real and Online Classmates Groups
Imbimbo, E., Stefanelli, F., & Guazzini, A. (2020) · Future Internet · doi:10.3390/fi12050081 · Cited by 3

Authors: Woolley, A. W., Aggarwal, I., & Malone, T. W.
Affiliations: Carnegie Mellon University (US)
Escola Brasileira de Administração Pública e de Empresas (BR)
Massachusetts Institute of Technology (US)
Corresponding author: Woolley, Anita Williams
ORCID: Woolley, Anita Williams
Aggarwal, Ishani
Malone, Thomas W.
Venue: Current Directions in Psychological Science
Publisher: SAGE Publications
Published: 2015-12
Volume: 24
Issue: 6
Pages: 420-424
ISSN: 0963-7214 (ISSN-L)
1467-8721
DOI: 10.1177/0963721415599543
OpenAlex: W2194225532
Semantic Scholar: 6ff64a539dd4d116a7819ac080c815b9ab224e5b
Cited by: 382
References: 28
Citations by year: 2026: 22 · 2025: 34 · 2024: 73 · 2023: 43 · 2022: 46 · 2021: 47 · 2020: 39 · 2019: 33 · 2018: 25 · 2017: 11 · 2016: 9
FWCI: 24.61
Type: journal article
Language: en
Open access: closed
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Current Directions in Psychological Science (publishedVersion)
Funders: National Science Foundation
Cisco Systems
Carnegie Mellon University
Topics: Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
Keywords: collective intelligence, group performance, group composition, group diversity, group interaction, group norms, group structure, social intervention, technological tools, task performance

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Collective Intelligence and Group Performance

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks