Tom Heyman

526 citations
26 papers · 245 · h-index 9

Impact in

    • Neural and Behavioral Psychology Studies
    • Neurobiology of Language and Bilingualism
    • Visual perception and processing mechanisms
    • Face Recognition and Perception

Papers in

Tom Heyman

24 papers receiving 241 citations

Peers

Tom Heyman
Comparison fields: 5 of 69
  • Cognitive Neuroscience 133
  • Health Informatics 7
  • Experimental and Cognitive Psychology 65
  • Developmental and Educational Psychology 46
  • Statistics, Probability and Uncertainty 23
Replace Kohinoor Monish Darda with:
Kohinoor Monish Darda United Kingdom
Molly Lewis United States
Massimiliano L. Cappuccio Australia
Jesse C. Niebaum United States
Jennifer L Beaudry Australia
Kit W. Cho United States
Felicitas Biwer Netherlands
Beth Baribault United States
Hyungwook Yim United States
Natalia Vélez United States
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Citations per field
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Citations per year

Countries citing papers authored by Tom Heyman

Since Specialization
Citations

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

Fields of papers citing papers by Tom Heyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201444
2 201437
3 202125
4 201521
5 201618
6 202017
7 20239
8
3D Face tracking and gaze estimation using a monocular camera
20118
9 20148
10 20237
11 20157
12 20186
13 20195
14 20195
15 20164
16 20204
17 20234
18 20203
19 20153
20 20173

About Tom Heyman

Tom Heyman is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental and Educational Psychology, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 26 papers that have together received 245 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (8 papers), Child and Animal Learning Development (5 papers), Memory Processes and Influences (3 papers), scientometrics and bibliometrics research (3 papers), Reading and Literacy Development (3 papers), Meta-analysis and systematic reviews (3 papers), Topic Modeling (3 papers) and Decision-Making and Behavioral Economics (2 papers). The work is most often cited by research in Cognitive Neuroscience (133 citations), Health Informatics (7 citations), Experimental and Cognitive Psychology (65 citations), Developmental and Educational Psychology (46 citations) and Statistics, Probability and Uncertainty (23 citations). Tom Heyman has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Pieter Moors, Gert Storms, Keith A. Hutchison, Simon De Deyne, Walter Schaeken, Wouter Voorspoels, Alessandro Ledda, Steven Verheyen, Julia M. Rohrer and Raphael Silberzahn. Their work appears in journals such as Behavior Research Methods, Collabra Psychology, Journal of Experimental Psychology Learning Memory and Cognition, PLoS ONE and Thinking & Reasoning.

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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