Lindsay Larson
Impact in
- Social Psychology top 10%
- Team Dynamics and Performance
- Human-Automation Interaction and Safety
Papers in
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- Team Dynamics and Performance 7
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- Knowledge Management and Sharing 4
- Co-authors
- Leslie A. DeChurch (9 shared papers)Noshir Contractor (5 shared papers)Nina Lauharatanahirun (2 shared papers)Jessica Mesmer‐Magnus (2 shared papers)Wolfgang Vahrson (1 shared paper)Suzanne T. Bell (1 shared paper)Dirk P. Dittmer (1 shared paper)James F. Papin (1 shared paper)
- Journals
- Computers in Human Behavior (2 papers)Acta Astronautica (1 paper)Organizational Psychology Review (1 paper)The Leadership Quarterly (1 paper)Career Development International (1 paper)
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
Lindsay Larson
13 papers receiving 362 citations
Lindsay Larson's Hit Papers
Peers
Comparison fields: 5 of 75
- Social Psychology 165
- Health Informatics 10
- Communication 49
- Safety Research 52
- Organizational Behavior and Human Resource Management 55
Countries citing papers authored by Lindsay Larson
This map shows the geographic impact of Lindsay Larson'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 Lindsay Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lindsay Larson more than expected).
Fields of papers citing papers by Lindsay Larson
This network shows the impact of papers produced by Lindsay Larson. 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 Lindsay Larson. The network helps show where Lindsay Larson may publish in the future.
Co-authors
The 22 scholars most cited alongside Lindsay Larson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 191 | |
| 2 | Social perception in Human-AI teams: Warmth and competence predict receptivity to AI teammates Hit paper breakdown → | 2023 | 71 |
| 3 | 2017 | 33 | |
| 4 | 2022 | 21 | |
| 5 | 2020 | 19 | |
| 6 | 2019 | 19 | |
| 7 | 2010 | 13 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2012 | 1 | |
| 13 | 2020 | 1 |
About Lindsay Larson
Lindsay Larson is a scholar working on Social Psychology, Communication, Management Information Systems, Information Systems and Management and Strategy and Management, having authored 13 papers that have together received 381 indexed citations. Recurring topics across this work include Team Dynamics and Performance (7 papers), Knowledge Management and Sharing (4 papers), Big Data and Business Intelligence (3 papers), Innovation and Knowledge Management (2 papers), HIV Research and Treatment (1 paper), Robotics and Automated Systems (1 paper), Space Exploration and Technology (1 paper) and Technology Adoption and User Behaviour (1 paper). The work is most often cited by research in Social Psychology (165 citations), Health Informatics (10 citations), Communication (49 citations), Safety Research (52 citations) and Organizational Behavior and Human Resource Management (55 citations). Lindsay Larson has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Leslie A. DeChurch, Noshir Contractor, Nina Lauharatanahirun, Jessica Mesmer‐Magnus, Wolfgang Vahrson, Suzanne T. Bell, Dirk P. Dittmer, James F. Papin, Aaron Schecter and Jess Hohenstein. Their work appears in journals such as Computers in Human Behavior, Acta Astronautica, Organizational Psychology Review, The Leadership Quarterly and Career Development International.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.