Michael D. Proctor

722 total citations
43 papers, 487 citations indexed

About

Michael D. Proctor is a scholar working on Social Psychology, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Michael D. Proctor has authored 43 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Social Psychology, 11 papers in Management Science and Operations Research and 6 papers in Artificial Intelligence. Recurrent topics in Michael D. Proctor's work include Simulation Techniques and Applications (8 papers), Human-Automation Interaction and Safety (7 papers) and Complex Systems and Decision Making (4 papers). Michael D. Proctor is often cited by papers focused on Simulation Techniques and Applications (8 papers), Human-Automation Interaction and Safety (7 papers) and Complex Systems and Decision Making (4 papers). Michael D. Proctor collaborates with scholars based in United States, Saudi Arabia and United Kingdom. Michael D. Proctor's co-authors include John R. Canada, Robert A. Sottilare, Mohammed Arif, Dennis J. Kulonda, Matthew Davis, Peter A. Hancock, J. Peter Kincaid, Jannick P. Rolland, Timothy Kotnour and Gideon Creech and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and International Journal of Environmental Research and Public Health.

In The Last Decade

Michael D. Proctor

42 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Proctor United States 12 83 79 75 73 64 43 487
Andrés Neyem Chile 16 49 0.6× 69 0.9× 78 1.0× 88 1.2× 28 0.4× 69 691
Alex Pak Ki Kwok China 10 35 0.4× 34 0.4× 88 1.2× 32 0.4× 48 0.8× 31 593
Gregory Z. Bedny United States 12 76 0.9× 68 0.9× 23 0.3× 13 0.2× 54 0.8× 33 618
Kevin Gary United States 11 29 0.3× 86 1.1× 70 0.9× 64 0.9× 11 0.2× 58 556
Camino Fernández Spain 18 85 1.0× 74 0.9× 90 1.2× 26 0.4× 6 0.1× 102 915
Omar Ashour United States 14 45 0.5× 36 0.5× 51 0.7× 7 0.1× 56 0.9× 58 586
Guy André Boy United States 13 13 0.2× 41 0.5× 32 0.4× 36 0.5× 53 0.8× 67 622
Carlos Vaz de Carvalho Portugal 13 230 2.8× 47 0.6× 58 0.8× 8 0.1× 26 0.4× 111 776
Erin K. Chiou United States 14 30 0.4× 26 0.3× 26 0.3× 73 1.0× 38 0.6× 61 804
Hsien-Tsung Chang Taiwan 16 15 0.2× 27 0.3× 58 0.8× 16 0.2× 70 1.1× 62 852

Countries citing papers authored by Michael D. Proctor

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Proctor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Proctor. 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 Michael D. Proctor. The network helps show where Michael D. Proctor may publish in the future.

Co-authorship network of co-authors of Michael D. Proctor

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Proctor. A scholar is included among the top collaborators of Michael D. Proctor 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 Michael D. Proctor. Michael D. Proctor 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.
Proctor, Michael D., et al.. (2025). Toward empowering AI governance with redress mechanisms. 1.
3.
Proctor, Michael D., et al.. (2021). Can Public Health Workforce Competency and Capacity be built through an Agent-based Online, Personalized Intelligent Tutoring System?. SHILAP Revista de lepidopterología. 3 indexed citations
4.
Proctor, Michael D., et al.. (2021). Public Health Informatics, Human Factors and the End-Users. Health Services Research and Managerial Epidemiology. 8. 2252036738–2252036738. 3 indexed citations
5.
Proctor, Michael D., et al.. (2018). The effect of autostereoscopic holograms on anatomical knowledge: a randomised trial. Medical Education. 52(11). 1147–1155. 40 indexed citations
6.
Davis, Matthew, et al.. (2017). Disaster factor screening using SoS conceptual modeling and an LVC simulation framework. Reliability Engineering & System Safety. 165. 368–375. 4 indexed citations
7.
Davis, Matthew, et al.. (2016). A Systems-Of-Systems Conceptual Model and Live Virtual Constructive Simulation Framework for Improved Nuclear Disaster Emergency Preparedness, Response, and Mitigation. Journal of Homeland Security and Emergency Management. 13(3). 367–393. 7 indexed citations
8.
Proctor, Michael D., et al.. (2015). Considering Modeling and Simulation of DOD Response to Accidental Nuclear Disaster. 5(2). 1 indexed citations
9.
Proctor, Michael D., et al.. (2014). Effectiveness, Usability, and Acceptability of Haptic-Enabled Virtual Reality and Mannequin Modality Simulators for Surgical Cricothyroidotomy. Military Medicine. 179(3). 260–264. 12 indexed citations
10.
Proctor, Michael D., et al.. (2012). A survey of exemplar teachers' perceptions, use, and access of computer-based games and technology for classroom instruction. Computers & Education. 62. 171–180. 67 indexed citations
11.
Sottilare, Robert A. & Michael D. Proctor. (2012). Passively Classifying Student Mood and Performance within Intelligent Tutors. Educational Technology & Society. 15(2). 101–114. 19 indexed citations
12.
Proctor, Michael D.. (2009). Special Issue: Modeling and Simulation for Training Applications in Counter-insurgency/Irregular Warfare (COIN). The Journal of Defense Modeling and Simulation Applications Methodology Technology. 6(3). 111–112. 1 indexed citations
13.
Proctor, Michael D., et al.. (2007). Helicopter Flight Training Through Serious Aviation Gaming. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 4(3). 277–294. 25 indexed citations
14.
Arif, Mohammed, et al.. (2005). Enterprise information systems: technology first or process first?. Business Process Management Journal. 11(1). 5–21. 29 indexed citations
15.
16.
Proctor, Michael D., et al.. (2004). Line-of-Sight Attributes for a Generalized Application Program Interface. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 1(1). 43–57. 14 indexed citations
17.
Proctor, Michael D. & Gideon Creech. (2001). Object-oriented modeling of patients in a medical federation. IEEE Transactions on Information Technology in Biomedicine. 5(3). 244–247. 2 indexed citations
18.
Proctor, Michael D., et al.. (2000). Technical Performance Measures and Distributed-Simulation Training Systems. Defense Technical Information Center (DTIC). 5 indexed citations
19.
Proctor, Michael D., et al.. (1998). Military simulation worlds and organizational learning. Winter Simulation Conference. 1. 773–780. 3 indexed citations
20.
Proctor, Michael D., et al.. (1996). Modeling in support of operational testing. Mathematical and Computer Modelling. 23(1-2). 9–14. 7 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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