Lindsay Larson

623 total citations · 1 hit paper
13 papers, 381 citations indexed

About

Lindsay Larson is a scholar working on Social Psychology, Communication and Management Information Systems. According to data from OpenAlex, Lindsay Larson has authored 13 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Social Psychology, 4 papers in Communication and 3 papers in Management Information Systems. Recurrent topics in Lindsay Larson's work include Team Dynamics and Performance (7 papers), Knowledge Management and Sharing (4 papers) and Big Data and Business Intelligence (3 papers). Lindsay Larson is often cited by papers focused on Team Dynamics and Performance (7 papers), Knowledge Management and Sharing (4 papers) and Big Data and Business Intelligence (3 papers). Lindsay Larson collaborates with scholars based in United States, Netherlands and Philippines. Lindsay Larson's co-authors include Leslie A. DeChurch, Noshir Contractor, Nina Lauharatanahirun, Jessica Mesmer‐Magnus, Wolfgang Vahrson, James F. Papin, Dirk P. Dittmer, Suzanne T. Bell, Jess Hohenstein and Malte Jung and has published in prestigious journals such as Computers in Human Behavior, The Leadership Quarterly and Acta Astronautica.

In The Last Decade

Lindsay Larson

13 papers receiving 362 citations

Hit Papers

Social perception in Human-AI teams: Warmth and competenc... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lindsay Larson United States 7 165 77 67 55 52 13 381
Chengcheng Liao China 6 52 0.3× 96 1.2× 67 1.0× 73 1.3× 59 1.1× 14 389
Elizabeth S. Veinott United States 7 150 0.9× 74 1.0× 101 1.5× 26 0.5× 26 0.5× 24 420
Komal Khandelwal India 8 39 0.2× 90 1.2× 71 1.1× 131 2.4× 38 0.7× 24 416
Lea Reis Germany 8 67 0.4× 129 1.7× 153 2.3× 33 0.6× 22 0.4× 16 419
Sonja Kristine Ötting Germany 7 77 0.5× 53 0.7× 73 1.1× 59 1.1× 79 1.5× 10 266
Ashwani Kumar Upadhyay India 7 34 0.2× 86 1.1× 70 1.0× 124 2.3× 35 0.7× 23 383
Jensine Paoletti United States 6 132 0.8× 18 0.2× 44 0.7× 47 0.9× 10 0.2× 14 264
Jinglu Jiang United States 9 36 0.2× 63 0.8× 93 1.4× 25 0.5× 35 0.7× 21 301
Matt Beane United States 6 54 0.3× 44 0.6× 115 1.7× 79 1.4× 62 1.2× 13 348
Pengyuan Wang United States 12 84 0.5× 45 0.6× 108 1.6× 71 1.3× 14 0.3× 24 468

Countries citing papers authored by Lindsay Larson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lindsay Larson

This figure shows the co-authorship network connecting the top 25 collaborators of Lindsay Larson. A scholar is included among the top collaborators of Lindsay Larson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lindsay Larson. Lindsay Larson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Larson, Lindsay, et al.. (2023). Social perception in Human-AI teams: Warmth and competence predict receptivity to AI teammates. Computers in Human Behavior. 145. 107765–107765. 71 indexed citations breakdown →
2.
Larson, Lindsay, et al.. (2022). Staying Apart to Work Better Together: Team Structure in Cross-Functional Teams. Academy of Management Discoveries. 9(3). 320–338. 5 indexed citations
3.
Hohenstein, Jess, Lindsay Larson, Aaron Schecter, et al.. (2022). Vero: A Method for Remotely Studying Human-AI Collaboration. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 3 indexed citations
4.
Schecter, Aaron, Jess Hohenstein, Lindsay Larson, et al.. (2022). Vero: An accessible method for studying human–AI teamwork. Computers in Human Behavior. 141. 107606–107606. 21 indexed citations
5.
6.
Larson, Lindsay & Leslie A. DeChurch. (2020). Leading teams in the digital age: Four perspectives on technology and what they mean for leading teams. The Leadership Quarterly. 31(1). 101377–101377. 191 indexed citations
7.
Mesmer‐Magnus, Jessica, et al.. (2020). Conditioning team cognition: A meta-analysis. Organizational Psychology Review. 11(2). 144–174. 19 indexed citations
8.
Larson, Lindsay, et al.. (2020). Cross-Disciplinary Team Design, Communication Overload, and Innovation. Academy of Management Proceedings. 2020(1). 21054–21054. 1 indexed citations
9.
Allen, Joseph A., Jennifer Taylor, Regan Murray, et al.. (2019). Mitigating Violence Against First Responder Teams: Results and Ideas From the Hackmanathon. Small Group Research. 51(3). 375–401. 2 indexed citations
10.
Larson, Lindsay, et al.. (2019). Team performance in space crews: Houston, we have a teamwork problem. Acta Astronautica. 161. 108–114. 19 indexed citations
11.
Mesmer‐Magnus, Jessica, et al.. (2017). The cognitive underpinnings of effective teamwork: a continuation. Career Development International. 22(5). 507–519. 33 indexed citations
13.
Papin, James F., Wolfgang Vahrson, Lindsay Larson, & Dirk P. Dittmer. (2010). Genome-wide real-time PCR for West Nile virus reduces the false-negative rate and facilitates new strain discovery. Journal of Virological Methods. 169(1). 103–111. 13 indexed citations

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.

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