Gerald M. Murch

881 citations
36 papers · 604 · h-index 10

Impact in

    • Visual perception and processing mechanisms
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Tactile and Sensory Interactions
    • Motor Control and Adaptation
    • Color perception and design

Papers in

Gerald M. Murch

31 papers receiving 509 citations

Peers

Gerald M. Murch
Comparison fields: 5 of 98
  • Cognitive Neuroscience 374
  • Social Psychology 199
  • Human-Computer Interaction 45
  • Experimental and Cognitive Psychology 105
  • General Psychology 7
Replace Daniel J. Weintraub with:
Daniel J. Weintraub United States
Theodore E. Parks United States
Floris L. van Nes Netherlands
Jerome D. Tietz United States
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Tadasu Oyama Japan
W. C. H. Prentice United States
Walter Gerbino Italy
Thorne Shipley United States
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Citations per field
00.5×1.5×1.8×
Daniel J. Weintraub · 1×
Citations per year

Countries citing papers authored by Gerald M. Murch

Since Specialization
Citations

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

Fields of papers citing papers by Gerald M. Murch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald M. Murch. 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 Gerald M. Murch. The network helps show where Gerald M. Murch may publish in the future.

Co-authors

The 5 scholars most cited alongside Gerald M. Murch, 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 Gerald M. Murch Line = papers co-authored together Gerald M. Murch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974169
2 198479
3 197666
4 197253
5 197549
6 198533
7 197226
8 197416
9 196910
10 19679
11 19759
12 19698
13 19778
14 19728
15
Color displays and color science
19877
16 19746
17 19706
18 19646
19 19656
20 19725

About Gerald M. Murch

Gerald M. Murch is a scholar working on Cognitive Neuroscience, Social Psychology, Atomic and Molecular Physics, and Optics, Developmental and Educational Psychology and Industrial and Manufacturing Engineering, having authored 36 papers that have together received 604 indexed citations. Recurring topics across this work include Color perception and design (11 papers), Visual perception and processing mechanisms (11 papers), Color Science and Applications (9 papers), Behavioral and Psychological Studies (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Neural and Behavioral Psychology Studies (2 papers), Surface Roughness and Optical Measurements (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (374 citations), Social Psychology (199 citations), Human-Computer Interaction (45 citations), Experimental and Cognitive Psychology (105 citations) and General Psychology (7 citations). Gerald M. Murch has collaborated with scholars based in United States and Germany. Frequent co-authors include Lloyd Kaufman, Robert M. Boynton, Joy Hirsch, Marc H. Bornstein and Robert J. Beaton. Their work appears in journals such as Vision Research, Behavior Research Methods, Displays, Leonardo and British Journal of Psychology.

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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