Christopher Flathmann

745 total citations
38 papers, 425 citations indexed

About

Christopher Flathmann is a scholar working on Social Psychology, Safety Research and Artificial Intelligence. According to data from OpenAlex, Christopher Flathmann has authored 38 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Social Psychology, 16 papers in Safety Research and 12 papers in Artificial Intelligence. Recurrent topics in Christopher Flathmann's work include Human-Automation Interaction and Safety (27 papers), Team Dynamics and Performance (16 papers) and Ethics and Social Impacts of AI (16 papers). Christopher Flathmann is often cited by papers focused on Human-Automation Interaction and Safety (27 papers), Team Dynamics and Performance (16 papers) and Ethics and Social Impacts of AI (16 papers). Christopher Flathmann collaborates with scholars based in United States, Canada and Netherlands. Christopher Flathmann's co-authors include Nathan J. McNeese, Beau G. Schelble, Guo Freeman, Tom O’Neill, Eduardo Salas, Bart P. Knijnenburg, Kapil Chalil Madathil, Rui Zhang, Patrick J. Rosopa and Richard Pak and has published in prestigious journals such as Computers in Human Behavior, Ergonomics and International Journal of Human-Computer Studies.

In The Last Decade

Christopher Flathmann

34 papers receiving 413 citations

Peers

Christopher Flathmann
Beau G. Schelble United States
Zana Buçinca United States
Leah Chong United States
Suzanne Tolmeijer Switzerland
Upol Ehsan United States
Ting Ai United States
Hariharan Subramonyam United States
Jae-Gil Lee South Korea
Erich Prem Austria
Beau G. Schelble United States
Christopher Flathmann
Citations per year, relative to Christopher Flathmann Christopher Flathmann (= 1×) peers Beau G. Schelble

Countries citing papers authored by Christopher Flathmann

Since Specialization
Citations

This map shows the geographic impact of Christopher Flathmann'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 Christopher Flathmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Flathmann more than expected).

Fields of papers citing papers by Christopher Flathmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Flathmann. 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 Christopher Flathmann. The network helps show where Christopher Flathmann may publish in the future.

Co-authorship network of co-authors of Christopher Flathmann

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Flathmann. A scholar is included among the top collaborators of Christopher Flathmann 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 Christopher Flathmann. Christopher Flathmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nanda, Gaurav, et al.. (2025). Barriers and Facilitators to Integrating AI and XR Technologies for Aircraft Inspection. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 69(1). 774–780.
2.
Nguyen, Han Thi Ngoc, et al.. (2025). Modeling Adaptive Autonomy at the Team Level: Understanding Team-Wide Autonomy and its Impact on Situation Awareness in Human-Autonomy Teams. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 69(1). 2114–2119. 1 indexed citations
3.
Flathmann, Christopher, Nathan J. McNeese, Subhasree Sengupta, & Ethan Johnson. (2025). Exploring Trust, Acceptance, and Behavioral Differences When Humans Collaborate with Large Language Models as Tools and Teammates. ACM Transactions on Interactive Intelligent Systems. 15(4). 1–33.
4.
Flathmann, Christopher, et al.. (2025). Trusting Autonomous Teammates in Human-AI Teams - A Literature Review. 1–23. 3 indexed citations
5.
Flathmann, Christopher, Nathan J. McNeese, & Tom O’Neill. (2025). Designing High-Impact Experiments for Human–Autonomy / AI Teaming. Journal of Cognitive Engineering and Decision Making. 19(4). 367–394. 1 indexed citations
6.
Flathmann, Christopher, et al.. (2024). Empirically Understanding the Potential Impacts and Process of Social Influence in Human-AI Teams. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW1). 1–32. 12 indexed citations
7.
Flathmann, Christopher, et al.. (2024). Empirical Impacts of Independent and Collaborative Training on Task Performance and Improvement in Human-AI Teams. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 68(1). 1447–1453. 1 indexed citations
8.
Sengupta, Subhasree, et al.. (2024). To Share or Not to Share: Understanding and Modeling Individual Disclosure Preferences in Recommender Systems for the Workplace. Proceedings of the ACM on Human-Computer Interaction. 8(GROUP). 1–28. 1 indexed citations
9.
Flathmann, Christopher, et al.. (2024). Verbal vs. Visual: How Humans Perceive and Collaborate with AI Teammates Using Different Communication Modalities in Various Human-AI Team Compositions. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW2). 1–34. 3 indexed citations
10.
Sengupta, Subhasree, Christopher Flathmann, Beau G. Schelble, Joseph B. Lyons, & Nathan J. McNeese. (2024). An analysis of ethical rationales and their impact on the perceived moral persona of AI teammates. AI and Ethics. 5(3). 2667–2679.
11.
Flathmann, Christopher, et al.. (2024). What you say vs what you do: Utilizing positive emotional expressions to relay AI teammate intent within human–AI teams. International Journal of Human-Computer Studies. 192. 103355–103355. 5 indexed citations
12.
Flathmann, Christopher, et al.. (2024). Human factors considerations for the context-aware design of adaptive autonomous teammates. Ergonomics. 68(4). 571–587. 4 indexed citations
13.
Flathmann, Christopher, et al.. (2024). Adapting to the human: A systematic review of a decade of human factors research on adaptive autonomy. Applied Ergonomics. 120. 104336–104336. 3 indexed citations
14.
Flathmann, Christopher, et al.. (2023). Investigating AI Teammate Communication Strategies and Their Impact in Human-AI Teams for Effective Teamwork. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW2). 1–31. 32 indexed citations
15.
Flathmann, Christopher, et al.. (2023). I Know This Looks Bad, But I Can Explain: Understanding When AI Should Explain Actions In Human-AI Teams. ACM Transactions on Interactive Intelligent Systems. 14(1). 1–23. 13 indexed citations
16.
Flathmann, Christopher, et al.. (2023). Examining the impact of varying levels of AI teammate influence on human-AI teams. International Journal of Human-Computer Studies. 177. 103061–103061. 35 indexed citations
17.
Flathmann, Christopher, Nathan J. McNeese, Beau G. Schelble, Bart P. Knijnenburg, & Guo Freeman. (2023). Understanding the impact and design of AI teammate etiquette. Human-Computer Interaction. 39(5-6). 444–471. 13 indexed citations
18.
O’Neill, Tom, Christopher Flathmann, Nathan J. McNeese, & Eduardo Salas. (2023). 21st Century teaming and beyond: Advances in human-autonomy teamwork. Computers in Human Behavior. 147. 107865–107865. 13 indexed citations
19.
Flathmann, Christopher, et al.. (2023). Recommendations with Benefits: Exploring Explanations in Information Sharing Recommender Systems for Temporary Teams. International Journal of Human-Computer Interaction. 40(23). 8202–8218.
20.
Schelble, Beau G., et al.. (2022). Investigating the Effects of Perceived Teammate Artificiality on Human Performance and Cognition. International Journal of Human-Computer Interaction. 39(13). 2686–2701. 16 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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