Mark C. Detweiler

884 citations
20 papers · 448 · h-index 11

Impact in

Papers in

Mark C. Detweiler

19 papers receiving 391 citations

Peers

Mark C. Detweiler
Comparison fields: 5 of 100
  • Human-Computer Interaction 96
  • Information Systems and Management 66
  • Experimental and Cognitive Psychology 85
  • Cognitive Neuroscience 105
  • Social Psychology 105
Replace Arnold M. Lund with:
Arnold M. Lund United States
Catherine G. Wolf United States
Ina Wechsung Germany
Xerxes P. Kotval United States
Kevin Norman United States
Linda J. Weldon United States
Kai Kuikkaniemi Finland
Robert Slagter Netherlands
Mark Lansdale United Kingdom
Manuela Züger Switzerland
Mark C. Detweiler relative to Arnold M. Lund United States Arnold M. Lund's profile →
Citations per field
00.5×3.3×
Arnold M. Lund · 1×
Citations per year

Countries citing papers authored by Mark C. Detweiler

Since Specialization
Citations

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

Fields of papers citing papers by Mark C. Detweiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark C. Detweiler. 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 Mark C. Detweiler. The network helps show where Mark C. Detweiler may publish in the future.

Co-authors

The 10 scholars most cited alongside Mark C. Detweiler, 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 Mark C. Detweiler Line = papers co-authored together Mark C. Detweiler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 198898
2 199188
3 199351
4 200740
5 199437
6 200028
7 199320
8 199018
9 199917
10 199513
11 199612
12 199410
13 20165
14 19863
15 19952
16 19952
17 19961
18 19921
19
Compact Disc Interactive (CD-i) multimedia project.
19951
20 19871

About Mark C. Detweiler

Mark C. Detweiler is a scholar working on Cognitive Neuroscience, Social Psychology, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 20 papers that have together received 448 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (6 papers), Neural and Behavioral Psychology Studies (5 papers), Visual and Cognitive Learning Processes (4 papers), Color perception and design (2 papers), Spatial Cognition and Navigation (2 papers), Data Visualization and Analytics (2 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers) and Motor Control and Adaptation (2 papers). The work is most often cited by research in Human-Computer Interaction (96 citations), Information Systems and Management (66 citations), Experimental and Cognitive Psychology (85 citations), Cognitive Neuroscience (105 citations) and Social Psychology (105 citations). Mark C. Detweiler has collaborated with scholars based in United States and Canada. Frequent co-authors include Walter Schneider, Stephen Hess, R. Darin Ellis, Robert M. Schumacher, Robert R. Hoffman, Joseph H. Goldberg, Maoyuan Sun, Gregorio Convertino, Richard A. Carlson and Walter Schneider. Their work appears in journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, Weather and Forecasting, The Journals of Gerontology Series B, Behavioral and Brain Sciences and interactions.

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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