Matthew L. Bolton

3.9k total citations
88 papers, 1.0k citations indexed

About

Matthew L. Bolton is a scholar working on Social Psychology, Safety, Risk, Reliability and Quality and Surgery. According to data from OpenAlex, Matthew L. Bolton has authored 88 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Social Psychology, 25 papers in Safety, Risk, Reliability and Quality and 22 papers in Surgery. Recurrent topics in Matthew L. Bolton's work include Human-Automation Interaction and Safety (51 papers), Healthcare Technology and Patient Monitoring (21 papers) and Safety Systems Engineering in Autonomy (21 papers). Matthew L. Bolton is often cited by papers focused on Human-Automation Interaction and Safety (51 papers), Healthcare Technology and Patient Monitoring (21 papers) and Safety Systems Engineering in Autonomy (21 papers). Matthew L. Bolton collaborates with scholars based in United States, United Kingdom and Netherlands. Matthew L. Bolton's co-authors include Ellen J. Bass, Radu I. Siminiceanu, Andrew D. Boyd, Laura Humphrey, Xi Zheng, Judy Edworthy, James R. Comstock, Christopher J. Daly, M. M. van Paassen and Karen M. Feigh and has published in prestigious journals such as Journal of Controlled Release, Reliability Engineering & System Safety and Human Factors The Journal of the Human Factors and Ergonomics Society.

In The Last Decade

Matthew L. Bolton

79 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew L. Bolton United States 18 501 257 245 168 161 88 1.0k
Asaf Degani United States 16 546 1.1× 121 0.5× 137 0.6× 92 0.5× 114 0.7× 55 1.1k
Amy R. Pritchett United States 22 821 1.6× 94 0.4× 141 0.6× 34 0.2× 144 0.9× 147 1.4k
Frédéric Vanderhaegen France 22 561 1.1× 64 0.2× 152 0.6× 32 0.2× 169 1.0× 94 1.2k
Karen M. Feigh United States 16 654 1.3× 133 0.5× 87 0.4× 50 0.3× 240 1.5× 128 1.1k
P.C. Cacciabue Italy 19 515 1.0× 31 0.1× 236 1.0× 26 0.2× 109 0.7× 81 1.1k
Kai Virtanen Finland 18 251 0.5× 37 0.1× 86 0.4× 27 0.2× 194 1.2× 76 1.1k
Les Ainsworth United Kingdom 4 294 0.6× 53 0.2× 73 0.3× 15 0.1× 72 0.4× 4 684
Paolo Masci Italy 13 39 0.1× 104 0.4× 103 0.4× 100 0.6× 134 0.8× 73 554
Dong-Han Ham South Korea 13 185 0.4× 21 0.1× 52 0.2× 8 0.0× 95 0.6× 40 608
Jinkyun Park South Korea 23 616 1.2× 20 0.1× 303 1.2× 9 0.1× 77 0.5× 132 1.7k

Countries citing papers authored by Matthew L. Bolton

Since Specialization
Citations

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

Fields of papers citing papers by Matthew L. Bolton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew L. Bolton. 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 Matthew L. Bolton. The network helps show where Matthew L. Bolton may publish in the future.

Co-authorship network of co-authors of Matthew L. Bolton

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew L. Bolton. A scholar is included among the top collaborators of Matthew L. Bolton 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 Matthew L. Bolton. Matthew L. Bolton 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.
Bolton, Matthew L., et al.. (2025). Examining dual-task interference effects of visual and auditory perceptual load in virtual reality. International Journal of Human-Computer Studies. 205. 103619–103619.
2.
Meimandi, Kiana Jafari, Matthew L. Bolton, & Peter A. Beling. (2025). A Trust-Aware Reinforcement Learning Approach to Enhance Human-Agent Teaming: An Overcooked-AI Study. 1–8.
3.
4.
Bonacquisti, Emily E., Scott Ferguson, Jinli Wang, et al.. (2024). Fluorogenic RNA-based biomaterials for imaging and tracking the cargo of extracellular vesicles. Journal of Controlled Release. 374. 349–368. 4 indexed citations
5.
Meimandi, Kiana Jafari, Matthew L. Bolton, & Peter A. Beling. (2024). Action Over Words: Predicting Human Trust in AI Partners Through Gameplay Behaviors. 563–568. 1 indexed citations
6.
Bolton, Matthew L., et al.. (2022). The Decoding Antisemitism Project—Reflections, Methods, and Goals. 5(1). 121–126. 2 indexed citations
7.
Bolton, Matthew L., et al.. (2021). The Level of Measurement of Subjective Situation Awareness and Its Dimensions in the Situation Awareness Rating Technique (SART). IEEE Transactions on Human-Machine Systems. 52(6). 1147–1154. 23 indexed citations
8.
Bolton, Matthew L., et al.. (2020). The level of measurement of trust in automation. Theoretical Issues in Ergonomics Science. 22(3). 274–295. 14 indexed citations
9.
Edworthy, Judy, Richard R. McNeer, Christopher Bennett, et al.. (2018). Getting Better Hospital Alarm Sounds Into a Global Standard. Ergonomics in Design The Quarterly of Human Factors Applications. 26(4). 4–13. 19 indexed citations
10.
Bolton, Matthew L., et al.. (2017). Formal Mental Models for Inclusive Privacy and Security.. Symposium On Usable Privacy and Security. 2 indexed citations
11.
Li, Meng, et al.. (2017). A Formal Machine–Learning Approach to Generating Human–Machine Interfaces From Task Models. IEEE Transactions on Human-Machine Systems. 47(6). 822–833. 17 indexed citations
12.
Bisantz, Ann M., Matthew L. Bolton, D. Jeffery Higginbotham, et al.. (2016). Multimodal team interactions in Robot-Assisted Surgery. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 60(1). 518–522. 2 indexed citations
13.
Boyd, Andrew D., et al.. (2015). Using Model Checking to Detect Simultaneous Masking in Medical Alarms. IEEE Transactions on Human-Machine Systems. 46(2). 174–185. 17 indexed citations
14.
Feigh, Karen M., et al.. (2015). A formal approach to modeling and analyzing human taskload in simulated air traffic scenarios. 1–6. 6 indexed citations
15.
Bolton, Matthew L., et al.. (2014). An Approach to Generating Human-Computer Interfaces from Task Models.. National Conference on Artificial Intelligence. 2 indexed citations
16.
Bolton, Matthew L. & Ellen J. Bass. (2013). Generating Erroneous Human Behavior From Strategic Knowledge in Task Models and Evaluating Its Impact on System Safety With Model Checking. IEEE Transactions on Systems Man and Cybernetics Systems. 43(6). 1314–1327. 32 indexed citations
17.
Bolton, Matthew L. & Ellen J. Bass. (2012). Using Model Checking to Explore Checklist-Guided Pilot Behavior. International Journal of Aviation Psychology. 22(4). 343–366. 18 indexed citations
18.
Bass, Ellen J. & Matthew L. Bolton. (2010). Using task analytic behavior modeling, erroneous human behavior generation, and formal methods to evaluate the role of human-automation interaction in system failure. 12 indexed citations
19.
Bolton, Matthew L. & Ellen J. Bass. (2010). Using task analytic models to visualize model checker counterexamples. 2069–2074. 26 indexed citations
20.
Bolton, Matthew L. & Ellen J. Bass. (2009). Building a Formal Model of a Human-Interactive System: Insights into the Integration of Formal Methods and Human Factors Engineering. 6–15. 8 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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