Tom Heyman

526 total citations
26 papers, 245 citations indexed

About

Tom Heyman is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Tom Heyman has authored 26 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 7 papers in Developmental and Educational Psychology. Recurrent topics in Tom Heyman's work include Neural and Behavioral Psychology Studies (8 papers), Child and Animal Learning Development (5 papers) and Memory Processes and Influences (3 papers). Tom Heyman is often cited by papers focused on Neural and Behavioral Psychology Studies (8 papers), Child and Animal Learning Development (5 papers) and Memory Processes and Influences (3 papers). Tom Heyman collaborates with scholars based in Belgium, Netherlands and United States. Tom Heyman's co-authors include Pieter Moors, Gert Storms, Keith A. Hutchison, Simon De Deyne, Walter Schaeken, Wouter Voorspoels, Steven Verheyen, Alessandro Ledda, Benedict C. Jones and Lisa M. DeBruine and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychological Science.

In The Last Decade

Tom Heyman

24 papers receiving 241 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom Heyman Belgium 9 133 65 46 27 23 26 245
Kohinoor Monish Darda United Kingdom 10 122 0.9× 51 0.8× 17 0.4× 16 0.6× 12 0.5× 20 207
Beth Baribault United States 6 72 0.5× 50 0.8× 25 0.5× 31 1.1× 31 1.3× 7 207
Jesse C. Niebaum United States 7 72 0.5× 66 1.0× 56 1.2× 16 0.6× 27 1.2× 11 209
Molly Lewis United States 8 53 0.4× 82 1.3× 198 4.3× 54 2.0× 19 0.8× 19 333
Mareike B. Wieth United States 10 126 0.9× 170 2.6× 42 0.9× 23 0.9× 2 0.1× 21 330
Hyungwook Yim United States 7 108 0.8× 45 0.7× 97 2.1× 29 1.1× 4 0.2× 26 221
Jennifer L Beaudry Australia 9 132 1.0× 25 0.4× 12 0.3× 21 0.8× 16 0.7× 27 224
Kit W. Cho United States 12 199 1.5× 156 2.4× 125 2.7× 111 4.1× 4 0.2× 39 417
Greta M. Fastrich United Kingdom 6 60 0.5× 111 1.7× 31 0.7× 6 0.2× 11 0.5× 8 191
Marlène Abadie France 10 160 1.2× 49 0.8× 29 0.6× 30 1.1× 2 0.1× 25 268

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-authorship network of co-authors of Tom Heyman

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Heyman. A scholar is included among the top collaborators of Tom Heyman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Heyman. Tom Heyman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Middendorp, Henriët van, et al.. (2023). The Optimal Learning Cocktail for Placebo Analgesia: A Randomized Controlled Trial Comparing Individual and Combined Techniques. Journal of Pain. 24(12). 2240–2256. 7 indexed citations
2.
Heyman, Tom, et al.. (2023). The impact of ChatGPT on human data collection: A case study involving typicality norming data. Behavior Research Methods. 56(5). 4974–4981. 9 indexed citations
3.
Vanpaemel, Wolf, et al.. (2023). Data sharing upon request and statistical consistency errors in psychology: A replication of Wicherts, Bakker and Molenaar (2011). PLoS ONE. 18(4). e0284243–e0284243. 4 indexed citations
4.
Heyman, Tom, et al.. (2022). The Effect of Stress on Semantic Memory Retrieval: A Multiverse Analysis. Collabra Psychology. 8(1). 2 indexed citations
5.
Rohrer, Julia M., Warren Tierney, Eric Luis Uhlmann, et al.. (2021). Putting the Self in Self-Correction: Findings From the Loss-of-Confidence Project. Perspectives on Psychological Science. 16(6). 1255–1269. 25 indexed citations
6.
Heyman, Tom, et al.. (2020). Correction notices in psychology: impactful or inconsequential?. Royal Society Open Science. 7(10). 200834–200834. 3 indexed citations
7.
Heyman, Tom, Pieter Moors, & Hugh Rabagliati. (2020). The benefits of adversarial collaboration for commentaries. Nature Human Behaviour. 4(12). 1217–1217. 4 indexed citations
8.
Heyman, Tom, et al.. (2020). Schoolchildren’s transitive reasoning with the spatial relation ‘is left/right of’. Thinking & Reasoning. 27(4). 479–509.
9.
Heyman, Tom, et al.. (2019). Can prediction-based distributional semantic models predict typicality?. Quarterly Journal of Experimental Psychology. 72(8). 2084–2109. 5 indexed citations
10.
Heyman, Tom, et al.. (2019). Sound-Symbolism Effects in the Absence of Awareness: A Replication Study. Psychological Science. 30(11). 1638–1647. 5 indexed citations
11.
Heyman, Tom, et al.. (2018). The (un)reliability of item-level semantic priming effects. Behavior Research Methods. 50(6). 2173–2183. 6 indexed citations
12.
Heyman, Tom, Keith A. Hutchison, & Gert Storms. (2016). Is semantic priming (ir)rational? Insights from the speeded word fragment completion task.. Journal of Experimental Psychology Learning Memory and Cognition. 42(10). 1657–1663. 4 indexed citations
13.
Heyman, Tom, Keith A. Hutchison, & Gert Storms. (2015). Uncovering underlying processes of semantic priming by correlating item-level effects. Psychonomic Bulletin & Review. 23(2). 540–547. 3 indexed citations
14.
Heyman, Tom & Walter Schaeken. (2015). Some Differences in Some: Examining Variability in the Interpretation of Scalars Using Latent Class Analysis. Psychologica Belgica. 55(1). 1–18. 21 indexed citations
15.
Heyman, Tom, et al.. (2015). Filling the gaps: A speeded word fragment completion megastudy. Behavior Research Methods. 48(4). 1508–1527. 7 indexed citations
16.
17.
Heyman, Tom, et al.. (2014). The influence of working memory load on semantic priming.. Journal of Experimental Psychology Learning Memory and Cognition. 41(3). 911–920. 44 indexed citations
18.
Heyman, Tom, Simon De Deyne, Keith A. Hutchison, & Gert Storms. (2014). Using the speeded word fragment completion task to examine semantic priming. Behavior Research Methods. 47(2). 580–606. 8 indexed citations
19.
Heyman, Tom, et al.. (2012). Logical or Pragmatic, as Long as it Suits our Convenience: Scalar Inferences in a Pro-and Contra-attitudinal Context. Cognitive Science. 34(34). 456–460. 1 indexed citations
20.
Heyman, Tom, et al.. (2011). 3D Face tracking and gaze estimation using a monocular camera. Ghent University Academic Bibliography (Ghent University). 23–28. 8 indexed citations

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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