David L. Post

34 papers receiving 329 citations

Peers

David L. Post
Comparison fields: 5 of 40
  • Media Technology 59
  • Atomic and Molecular Physics, and Optics 195
  • Social Psychology 119
  • Cognitive Neuroscience 73
  • Human-Computer Interaction 21
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Youngshin Kwak South Korea
Frans J. J. Blommaert Netherlands
Michael J. Murdoch United States
Masayuki Sugawara Japan
Miyoshi Ayama Japan
Laurent Blondé France
Ming Ronnier Luo United Kingdom
James O. Larimer United States
Ángel Luis Pérez Rodríguez Spain
Kees Teunissen Netherlands
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Citations per year

Countries citing papers authored by David L. Post

Since Specialization
Citations

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

Fields of papers citing papers by David L. Post

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside David L. Post, 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 David L. Post Line = papers co-authored together David L. Post links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198976
2 199257
3 200054
4 199824
5 198216
6 199916
7 199713
8 199712
9 198411
10 198510
11 199210
12 199710
13 199810
14 20008
15 19837
16 19927
17 19876
18 20016
19 19945
20 19945

About David L. Post

David L. Post is a scholar working on Media Technology, Social Psychology, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 398 indexed citations. Recurring topics across this work include Color Science and Applications (18 papers), Visual perception and processing mechanisms (13 papers), Advanced Optical Imaging Technologies (11 papers), Color perception and design (9 papers), Human-Automation Interaction and Safety (8 papers), Data Visualization and Analytics (7 papers), Military Technology and Strategies (3 papers) and Air Traffic Management and Optimization (2 papers). The work is most often cited by research in Media Technology (59 citations), Atomic and Molecular Physics, and Optics (195 citations), Social Psychology (119 citations), Cognitive Neuroscience (73 citations) and Human-Computer Interaction (21 citations). David L. Post has collaborated with scholars based in United States. Frequent co-authors include Eric E. Geiselman, Allen L. Nagy, Paul R. Havig, Bahman Taheri, Michael Haas, Peter Palffy‐Muhoray, Harry L. Snyder, T. Kósa, Lawrence J. Hettinger and Scott S. Grigsby. Their work appears in journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, Color Research & Application, Journal of the Society for Information Display, Displays and SAE technical papers on CD-ROM/SAE technical paper series.

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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