John M. Flach

147 papers receiving 2.8k citations

Peers

John M. Flach
Comparison fields: 5 of 146
  • Social Psychology 1.4k
  • Radiological and Ultrasound Technology 296
  • Human-Computer Interaction 355
  • Cognitive Neuroscience 653
  • Medical Laboratory Technology 45
Replace Justin G. Hollands with:
Justin G. Hollands Canada
Simon P. Banbury United Kingdom
Dietrich Manzey Germany
Penelope M. Sanderson Australia
James P. Bliss United States
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John M. Flach relative to Justin G. Hollands Canada Justin G. Hollands's profile →
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Citations per year

Countries citing papers authored by John M. Flach

Since Specialization
Citations

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

Fields of papers citing papers by John M. Flach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John M. Flach, 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 John M. Flach Line = papers co-authored together John M. Flach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Control Theory for Humans: Quantitative Approaches To Modeling Performance
2002228
2 1992220
3 1995135
4 1990122
5 2001120
6 1990116
7 1989108
8 1998107
9 2011102
10
Display and Interface Design: Subtle Science, Exact Art
201193
11 198893
12 200579
13 201470
14 201360
15 199556
16 201456
17 199053
18
Ecological Interface Design
199950
19 201150
20 199049

About John M. Flach

John M. Flach is a scholar working on Social Psychology, Cognitive Neuroscience, Management Science and Operations Research, Human-Computer Interaction and Radiological and Ultrasound Technology, having authored 163 papers that have together received 3.1k indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (48 papers), Complex Systems and Decision Making (18 papers), Motor Control and Adaptation (12 papers), Visual perception and processing mechanisms (12 papers), Design Education and Practice (12 papers), Aerospace and Aviation Technology (10 papers), Occupational Health and Safety Research (9 papers) and Air Traffic Management and Optimization (8 papers). The work is most often cited by research in Social Psychology (1.4k citations), Radiological and Ultrasound Technology (296 citations), Human-Computer Interaction (355 citations), Cognitive Neuroscience (653 citations) and Medical Laboratory Technology (45 citations). John M. Flach has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Kevin B. Bennett, Richard J. Jagacinski, John F. Larish, John G. Holden, Christopher D. Wickens, Max Mulder, Marinus M. van Paassen, Matthew Ryan Smith, Penelope M. Sanderson and Cynthia O. Dominguez. Their work appears in journals such as Journal of Experimental Psychology Human Perception & Performance, Ecological Psychology, Ergonomics, Human Factors The Journal of the Human Factors and Ergonomics Society and Applied Ergonomics.

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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