Joseph B. Lyons

3.8k total citations
92 papers, 2.4k citations indexed

About

Joseph B. Lyons is a scholar working on Social Psychology, Safety Research and Radiological and Ultrasound Technology. According to data from OpenAlex, Joseph B. Lyons has authored 92 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Social Psychology, 18 papers in Safety Research and 17 papers in Radiological and Ultrasound Technology. Recurrent topics in Joseph B. Lyons's work include Human-Automation Interaction and Safety (50 papers), Team Dynamics and Performance (17 papers) and Ethics and Social Impacts of AI (17 papers). Joseph B. Lyons is often cited by papers focused on Human-Automation Interaction and Safety (50 papers), Team Dynamics and Performance (17 papers) and Ethics and Social Impacts of AI (17 papers). Joseph B. Lyons collaborates with scholars based in United States, South Korea and Germany. Joseph B. Lyons's co-authors include Tamera R. Schneider, Gene M. Alarcon, Charlene K. Stokes, Kevin T. Wynne, Chang S. Nam, August Capiola, James Christensen, Tara A. Rench, Michael Lewis and Katia Sycara and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Personality and Individual Differences.

In The Last Decade

Joseph B. Lyons

87 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph B. Lyons United States 29 1.4k 361 359 352 315 92 2.4k
Stephanie Merritt United States 12 850 0.6× 214 0.6× 195 0.5× 179 0.5× 99 0.3× 33 1.4k
Kevin A. Hoff United States 11 1.1k 0.8× 515 1.4× 349 1.0× 102 0.3× 77 0.2× 31 1.9k
Linda G. Pierce United States 11 1.3k 0.9× 264 0.7× 328 0.9× 164 0.5× 28 0.1× 41 2.0k
Mary T. Dzindolet United States 12 1.3k 1.0× 272 0.8× 299 0.8× 76 0.2× 39 0.1× 29 2.0k
Michael D. Coovert United States 29 824 0.6× 59 0.2× 232 0.6× 181 0.5× 997 3.2× 92 3.1k
Eric Anthony Day United States 22 733 0.5× 73 0.2× 138 0.4× 327 0.9× 187 0.6× 66 1.9k
Andreas Gegenfurtner Germany 29 620 0.5× 77 0.2× 174 0.5× 547 1.6× 88 0.3× 86 2.9k
Hall P. Beck United States 18 1.0k 0.8× 296 0.8× 276 0.8× 31 0.1× 73 0.2× 37 1.8k
Malcolm James Ree United States 27 997 0.7× 70 0.2× 180 0.5× 384 1.1× 473 1.5× 96 2.6k
Annette Kluge Germany 21 819 0.6× 47 0.1× 162 0.5× 239 0.7× 35 0.1× 144 2.1k

Countries citing papers authored by Joseph B. Lyons

Since Specialization
Citations

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

Fields of papers citing papers by Joseph B. Lyons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph B. Lyons. 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 Joseph B. Lyons. The network helps show where Joseph B. Lyons may publish in the future.

Co-authorship network of co-authors of Joseph B. Lyons

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph B. Lyons. A scholar is included among the top collaborators of Joseph B. Lyons 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 Joseph B. Lyons. Joseph B. Lyons 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.
Lyons, Joseph B., et al.. (2025). Examining the human-centred challenges of human–swarm interaction. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 383(2289). 20240140–20240140. 2 indexed citations
2.
3.
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.
4.
Lyons, Joseph B., et al.. (2024). Effect of Adapting to Human Preferences on Trust in Human-Robot Teaming. Proceedings of the AAAI Symposium Series. 2(1). 5–10. 1 indexed citations
5.
Capiola, August, et al.. (2023). “Do what you say?” The combined effects of framed social intent and autonomous agent behavior on the trust process. Computers in Human Behavior. 149. 107966–107966. 3 indexed citations
6.
Lyons, Joseph B., et al.. (2023). Responsible (use of) AI. SHILAP Revista de lepidopterología. 4. 1201777–1201777. 6 indexed citations
7.
Miller, Chris, et al.. (2023). LifeCycle Transparency: Why, and How, Transparency Information Exchange Should be Distributed throughout the Life of Technology Usage. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 409–413. 1 indexed citations
8.
Capiola, August, et al.. (2022). The Effect of Asset Degradation on Trust in Swarms: A Reexamination of System-Wide Trust in Human-Swarm Interaction. Human Factors The Journal of the Human Factors and Ergonomics Society. 66(5). 1475–1489. 6 indexed citations
9.
Traylor, Zachary, et al.. (2022). Ethics in human–AI teaming: principles and perspectives. AI and Ethics. 3(3). 917–935. 40 indexed citations
10.
Lyons, Joseph B., Katia Sycara, Michael Lewis, & August Capiola. (2021). Human–Autonomy Teaming: Definitions, Debates, and Directions. Frontiers in Psychology. 12. 589585–589585. 104 indexed citations
11.
Lyons, Joseph B., et al.. (2020). Trusting Autonomous Security Robots: The Role of Reliability and Stated Social Intent. Human Factors The Journal of the Human Factors and Ergonomics Society. 63(4). 603–618. 29 indexed citations
12.
Kim, Wonjoon, et al.. (2020). Factors affecting trust in high-vulnerability human-robot interaction contexts: A structural equation modelling approach. Applied Ergonomics. 85. 103056–103056. 73 indexed citations
13.
Lyons, Joseph B., et al.. (2019). Trusting Robocop: Gender-Based Effects on Trust of an Autonomous Robot. Frontiers in Psychology. 10. 482–482. 54 indexed citations
14.
Lyons, Joseph B., et al.. (2018). Viewing Machines as Teammates: A Qualitative Study.. National Conference on Artificial Intelligence. 9 indexed citations
15.
Alarcon, Gene M., et al.. (2017). The effect of propensity to trust and perceptions of trustworthiness on trust behaviors in dyads. Behavior Research Methods. 50(5). 1906–1920. 66 indexed citations
16.
Koltai, Kolina, et al.. (2014). Influence of Cultural, Organizational, and Automation Capability on Human Automation Trust: A Case Study of Auto-GCAS Experimental Test Pilots. International Conference on Human-Computer Interaction. 3 indexed citations
17.
Lyons, Joseph B.. (2013). Being Transparent about Transparency: A Model for Human-Robot Interaction. National Conference on Artificial Intelligence. 82 indexed citations
18.
Alarcon, Gene M. & Joseph B. Lyons. (2011). The Relationship of Engagement and Job Satisfaction in Working Samples. The Journal of Psychology. 145(5). 463–480. 94 indexed citations
19.
Eschleman, Kevin J., Gene M. Alarcon, Joseph B. Lyons, Charlene K. Stokes, & Tamera R. Schneider. (2011). The dynamic nature of the stress appraisal process and the infusion of affect. Anxiety Stress & Coping. 25(3). 309–327. 10 indexed citations
20.
Lyons, Joseph B., et al.. (2009). Organizational Modeling and Simulation in a Planning Organization. 77(2). 424–428. 1 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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