Trysha Galloway

866 citations
30 papers · 475 · h-index 13

Impact in

Papers in

    • Team Dynamics and Performance 11
    • Human-Automation Interaction and Safety 8
    • Action Observation and Synchronization 8
    • Neural dynamics and brain function 7
    • EEG and Brain-Computer Interfaces 4

Trysha Galloway

27 papers receiving 432 citations

Peers

Trysha Galloway
Comparison fields: 5 of 63
  • Social Psychology 270
  • Family Practice 16
  • Management Science and Operations Research 115
  • Cognitive Neuroscience 142
  • Radiological and Ultrasound Technology 21
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Citations per year

Countries citing papers authored by Trysha Galloway

Since Specialization
Citations

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

Fields of papers citing papers by Trysha Galloway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Trysha Galloway, 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 Trysha Galloway Line = papers co-authored together Trysha Galloway links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201959
2 201153
3 201449
4 201535
5
The organizational neurodynamics of teams.
201333
6 201430
7 201227
8 201626
9 201725
10 201523
11 201814
12 201914
13 201913
14 201710
15
Integrating EEG Models of Cognitive Load with Machine Learning Models of Scientific Problem Solving
201310
16 20129
17
Tracing Neurodynamic Information Flows during Teamwork.
20169
18 20147
19 20166
20 20104

About Trysha Galloway

Trysha Galloway is a scholar working on Social Psychology, Cognitive Neuroscience, Artificial Intelligence, Management Science and Operations Research and Physiology, having authored 30 papers that have together received 475 indexed citations. Recurring topics across this work include Cognitive Science and Mapping (12 papers), Team Dynamics and Performance (11 papers), Human-Automation Interaction and Safety (8 papers), Action Observation and Synchronization (8 papers), Neural dynamics and brain function (7 papers), Complex Systems and Decision Making (7 papers), EEG and Brain-Computer Interfaces (4 papers) and Simulation-Based Education in Healthcare (3 papers). The work is most often cited by research in Social Psychology (270 citations), Family Practice (16 citations), Management Science and Operations Research (115 citations), Cognitive Neuroscience (142 citations) and Radiological and Ultrasound Technology (21 citations). Trysha Galloway has collaborated with scholars based in United States, Mexico and Isle of Man. Frequent co-authors include Ronald H. Stevens, Jamie C. Gorman, Chris Berka, Polemnia G. Amazeen, Aaron D. Likens, Ron Stevens, Peter Wang, David Grimm, Melanie Martin and Peter Wang. Their work appears in journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, Social Neuroscience, Frontiers in Psychology, Computational and Mathematical Organization Theory and IEEE Pulse.

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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