J See

22 papers receiving 796 citations

Peers

J See
Comparison fields: 5 of 109
  • Cognitive Neuroscience 355
  • Social Psychology 330
  • Radiological and Ultrasound Technology 69
  • Experimental and Cognitive Psychology 129
  • General Decision Sciences 17
Replace Angelia Sebok with:
Angelia Sebok United States
Rebecca Charles United Kingdom
F. Thomas Eggemeier United States
Michael A. Vidulich United States
Mickaël Causse France
Adam T. Biggs United States
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Kenji Itoh Japan
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Citations per year

Countries citing papers authored by J See

Since Specialization
Citations

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

Fields of papers citing papers by J See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J See. 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 J See. The network helps show where J See may publish in the future.

Co-authors

The 21 scholars most cited alongside J See, 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 J See Line = papers co-authored together J See links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995310
2
Brain systems of vigilance.
1998140
3 199789
4 199985
5 201263
6 201748
7 201545
8 199812
9 199510
10
A Methodology to Assess Lethality and Collateral Damage for Nonfragmenting Precision-Guided Weapons
20089
11 20208
12 20147
13 20215
14 20174
15 19973
16 20242
17 19972
18
Computer Modeling of Operator Mental Workload during Target Acquisition: An Assessment of Predictive Validity.
19972
19 20181
20 20201

About J See

J See is a scholar working on Chemical Health and Safety, Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Neuropsychology and Physiological Psychology, having authored 27 papers that have together received 850 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (11 papers), Technology Assessment and Management (6 papers), Occupational Health and Safety Research (5 papers), Risk and Safety Analysis (4 papers), Safety Warnings and Signage (2 papers), Systems Engineering Methodologies and Applications (2 papers), Military Defense Systems Analysis (2 papers) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in Cognitive Neuroscience (355 citations), Social Psychology (330 citations), Radiological and Ultrasound Technology (69 citations), Experimental and Cognitive Psychology (129 citations) and General Decision Sciences (17 citations). J See has collaborated with scholars based in United States, Russia and Ghana. Frequent co-authors include Joel S. Warm, William N. Dember, Steven R. Howe, Raja Parasuraman, Edward M. Hitchcock, Colin G. Drury, Allison E. Williams, Michael A. Vidulich, David Faulkner and Holly A. H. Handley. Their work appears in journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, Psychological Bulletin, Systems Engineering, Ergonomics and International Journal of Aviation 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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