Michael D. Proctor

42 papers receiving 448 citations

Peers

Michael D. Proctor
Comparison fields: 5 of 97
  • Human-Computer Interaction 54
  • Developmental and Educational Psychology 83
  • Computer Science Applications 32
  • Management Information Systems 50
  • Management Science and Operations Research 64
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Citations per year

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-authors

The 13 scholars most cited alongside Michael D. Proctor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael D. Proctor Line = papers co-authored together Michael D. Proctor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201673
2 201267
3 199261
4 201840
5 200529
6 200726
7 200424
8
Passively Classifying Student Mood and Performance within Intelligent Tutors
201219
9 200916
10 201016
11 200414
12 201412
13 200711
14 20169
15 20167
16 19967
17 20085
18 20025
19
Technical Performance Measures and Distributed-Simulation Training Systems
20005
20 20084

About Michael D. Proctor

Michael D. Proctor is a scholar working on Social Psychology, Management Science and Operations Research, Control and Systems Engineering, Artificial Intelligence and Management Information Systems, having authored 42 papers that have together received 492 indexed citations. Recurring topics across this work include Simulation Techniques and Applications (8 papers), Human-Automation Interaction and Safety (7 papers), Virtual Reality Applications and Impacts (4 papers), Aerospace and Aviation Technology (4 papers), Team Dynamics and Performance (4 papers), Complex Systems and Decision Making (4 papers), Electronic Health Records Systems (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). The work is most often cited by research in Human-Computer Interaction (54 citations), Developmental and Educational Psychology (83 citations), Computer Science Applications (32 citations), Management Information Systems (50 citations) and Management Science and Operations Research (64 citations). Michael D. Proctor has collaborated with scholars based in United States, Saudi Arabia and United Arab Emirates. Frequent co-authors include John R. Canada, Robert A. Sottilare, Dennis J. Kulonda, Mohammed Arif, Matthew Davis, Timothy Kotnour, J. Peter Kincaid, Peter A. Hancock, Jannick P. Rolland and Michael J. Lipinski. Their work appears in journals such as International Journal of Aviation Psychology, The Journal of Defense Modeling and Simulation Applications Methodology Technology, Journal of Homeland Security and Emergency Management, International Journal of Environmental Research and Public Health and Medical Education.

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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