Nathan J. McNeese

4.0k total citations · 1 hit paper
142 papers, 2.4k citations indexed

About

Nathan J. McNeese is a scholar working on Social Psychology, Artificial Intelligence and Safety Research. According to data from OpenAlex, Nathan J. McNeese has authored 142 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Social Psychology, 34 papers in Artificial Intelligence and 30 papers in Safety Research. Recurrent topics in Nathan J. McNeese's work include Human-Automation Interaction and Safety (83 papers), Team Dynamics and Performance (54 papers) and Ethics and Social Impacts of AI (30 papers). Nathan J. McNeese is often cited by papers focused on Human-Automation Interaction and Safety (83 papers), Team Dynamics and Performance (54 papers) and Ethics and Social Impacts of AI (30 papers). Nathan J. McNeese collaborates with scholars based in United States, Canada and Germany. Nathan J. McNeese's co-authors include Nancy J. Cooke, Mustafa Demir, Beau G. Schelble, Guo Freeman, Tom O’Neill, Christopher Flathmann, Christopher W. Myers, Erin K. Chiou, Kapil Chalil Madathil and Eduardo Salas and has published in prestigious journals such as Computers in Human Behavior, Frontiers in Psychology and Human Factors The Journal of the Human Factors and Ergonomics Society.

In The Last Decade

Nathan J. McNeese

131 papers receiving 2.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature

2020 265 citations Tom O’Neill, Nathan J. McNeese et al. Human Factors The Journal of the Human Factors and Ergonomics Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathan J. McNeese United States	27	1.4k	629	621	317	216	142	2.4k
Joseph B. Lyons United States	29	1.4k 1.0×	359 0.6×	361 0.6×	262 0.8×	83 0.4×	92	2.4k
Linda G. Pierce United States	11	1.3k 0.9×	328 0.5×	264 0.4×	186 0.6×	179 0.8×	41	2.0k
Ewart J. de Visser United States	26	2.7k 1.9×	1.2k 1.9×	862 1.4×	335 1.1×	113 0.5×	100	4.2k
Nancy J. Cooke United States	34	3.2k 2.3×	818 1.3×	301 0.5×	322 1.0×	749 3.5×	218	5.0k
Kristin E. Schaefer United States	15	1.9k 1.4×	789 1.3×	609 1.0×	219 0.7×	53 0.2×	45	2.5k
Masooda Bashir United States	15	1.1k 0.8×	484 0.8×	416 0.7×	342 1.1×	64 0.3×	59	2.1k
Mary T. Dzindolet United States	12	1.3k 0.9×	299 0.5×	272 0.4×	213 0.7×	118 0.5×	29	2.0k
Eduard Fosch‐Villaronga Netherlands	22	313 0.2×	498 0.8×	626 1.0×	408 1.3×	60 0.3×	77	1.8k
Alex Kirlik United States	20	700 0.5×	293 0.5×	115 0.2×	185 0.6×	164 0.8×	83	1.6k
Kevin A. Hoff United States	11	1.1k 0.8×	349 0.6×	515 0.8×	208 0.7×	56 0.3×	31	1.9k

Countries citing papers authored by Nathan J. McNeese

Since Specialization

Citations

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

Fields of papers citing papers by Nathan J. McNeese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan J. McNeese. 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 Nathan J. McNeese. The network helps show where Nathan J. McNeese may publish in the future.

Co-authorship network of co-authors of Nathan J. McNeese

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

All Works

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20 of 20 papers shown

McNeese, Nathan J., et al.. (2025). Human-Centered Team Training for Human-AI Teams: From Training with AI Tools to Training for AI Teammates. Proceedings of the ACM on Human-Computer Interaction. 9(2). 1–38.

Li, Lingyuan, et al.. (2025). A Scoping Review of Gender Stereotypes in Artificial Intelligence. 1–20.

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.

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

Flathmann, Christopher, et al.. (2025). Trusting Autonomous Teammates in Human-AI Teams - A Literature Review. 1–23. 3 indexed citations

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.

McNeese, Nathan J., et al.. (2024). Mitigating Gender Stereotypes Toward AI Agents Through an eXplainable AI (XAI) Approach. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW2). 1–35. 8 indexed citations

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

Madathil, Kapil Chalil, et al.. (2024). Collaborative augmented reality in higher education: A systematic review of effectiveness, outcomes, and challenges. Applied Ergonomics. 121. 104360–104360. 5 indexed citations

10.

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

11.

Freeman, Guo, et al.. (2024). Understanding the Evolvement of Trust Over Time within Human-AI Teams. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW2). 1–31. 7 indexed citations

12.

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

13.

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

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.

McNeese, Nathan J., et al.. (2023). Knowing Unknown Teammates: Exploring Anonymity and Explanations in a Teammate Information-Sharing Recommender System. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW2). 1–34. 1 indexed citations

16.

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

17.

Schelble, Beau G., et al.. (2022). Adapt and overcome: Perceptions of adaptive autonomous agents for human-AI teaming. Computers in Human Behavior. 138. 107451–107451. 55 indexed citations

18.

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

19.

Schelble, Beau G., et al.. (2022). Towards Ethical AI: Empirically Investigating Dimensions of AI Ethics, Trust Repair, and Performance in Human-AI Teaming. Human Factors The Journal of the Human Factors and Ergonomics Society. 66(4). 1037–1055. 45 indexed citations

20.

McNeese, Nathan J., et al.. (2019). Flash Crashes in Multi-Agent Systems Using Minority Games And Reinforcement Learning to Test AI Safety. 193–204. 2 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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