Evidence for a Collective Intelligence Factor in the Performance of Human Groups2010 · 1.7k citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
This map shows the geographic impact of Nada Hashmi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nada Hashmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nada Hashmi more than expected).
This network shows the impact of papers produced by Nada Hashmi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nada Hashmi. The network helps show where Nada Hashmi may publish in the future.
Co-authors
The 7 scholars most cited alongside Nada Hashmi, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with Nada HashmiLine = papers co-authored togetherNada Hashmi links everyone, so they are left out of the graph.
All Works
5 of 5 papers shown
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Work
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Evidence for a Collective Intelligence Factor in the Performance of Human Groups
Nada Hashmi is a scholar working on Social Psychology, Communication, Artificial Intelligence, Health Informatics and Safety Research, having authored 5 papers that have together received 1.8k indexed citations. Recurring topics across this work include Team Dynamics and Performance (3 papers), Knowledge Management and Sharing (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Innovative Teaching and Learning Methods (1 paper), Mobile Crowdsensing and Crowdsourcing (1 paper), Cognitive Science and Mapping (1 paper), Ethics and Social Impacts of AI (1 paper) and Complex Systems and Decision Making (1 paper). The work is most often cited by research in Computer Science Applications (201 citations), Communication (205 citations), Gender Studies (229 citations), Social Psychology (430 citations) and Safety Research (173 citations). Nada Hashmi has collaborated with scholars based in United States. Frequent co-authors include Thomas W. Malone, Anita Williams Woolley, Christopher F. Chabris, Alex Pentland, Anjali Bal, Cassidy R. Sugimoto and Thema Monroe‐White. Their work appears in journals such as Decision Support Systems, Business Horizons and Science.
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