Tom Verguts

11.0k total citations
172 papers, 6.8k citations indexed

About

Tom Verguts is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Statistics and Probability. According to data from OpenAlex, Tom Verguts has authored 172 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Cognitive Neuroscience, 48 papers in Developmental and Educational Psychology and 42 papers in Statistics and Probability. Recurrent topics in Tom Verguts's work include Neural and Behavioral Psychology Studies (81 papers), Neural dynamics and brain function (52 papers) and Cognitive and developmental aspects of mathematical skills (40 papers). Tom Verguts is often cited by papers focused on Neural and Behavioral Psychology Studies (81 papers), Neural dynamics and brain function (52 papers) and Cognitive and developmental aspects of mathematical skills (40 papers). Tom Verguts collaborates with scholars based in Belgium, China and Netherlands. Tom Verguts's co-authors include Wim Fias, Wim Notebaert, Filip Van Opstal, Wim Gevers, Massimo Silvetti, Senne Braem, Eliana Vassena, Chantal Roggeman, Seppe Santens and Qi Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Tom Verguts

168 papers receiving 6.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tom Verguts 4.8k 2.3k 1.7k 1.3k 1.2k 172 6.8k
Olivier Houdé 3.6k 0.8× 1.0k 0.4× 1.8k 1.1× 1.1k 0.8× 589 0.5× 154 5.6k
André Vandierendonck 3.2k 0.7× 936 0.4× 1.2k 0.7× 1.5k 1.1× 379 0.3× 123 4.7k
Wim Fias 5.1k 1.1× 5.3k 2.3× 3.4k 2.0× 1.5k 1.2× 2.5k 2.0× 157 8.8k
Wim Gevers 2.4k 0.5× 2.4k 1.0× 1.3k 0.8× 887 0.7× 1.1k 0.9× 83 3.9k
Derek Besner 6.3k 1.3× 1.0k 0.4× 5.4k 3.2× 2.4k 1.8× 699 0.6× 170 8.5k
Yuko Munakata 2.8k 0.6× 499 0.2× 2.5k 1.5× 1.3k 1.0× 991 0.8× 102 6.0k
Alan D. Castel 4.6k 1.0× 509 0.2× 1.8k 1.1× 2.2k 1.6× 412 0.3× 159 6.2k
David LaBerge 4.0k 0.8× 887 0.4× 2.8k 1.7× 1.4k 1.0× 980 0.8× 60 6.6k
Maurits W. van der Molen 6.5k 1.3× 465 0.2× 2.2k 1.3× 2.3k 1.7× 549 0.4× 170 9.8k
Dénes Szűcs 2.1k 0.4× 2.9k 1.3× 2.1k 1.2× 1.8k 1.4× 2.1k 1.7× 115 6.1k

Countries citing papers authored by Tom Verguts

Since Specialization
Citations

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

Fields of papers citing papers by Tom Verguts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Verguts

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Verguts. A scholar is included among the top collaborators of Tom Verguts 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 Verguts. Tom Verguts 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.
2.
Verguts, Tom, et al.. (2024). Reinforcement learning and meta-decision-making. Current Opinion in Behavioral Sciences. 57. 101374–101374. 2 indexed citations
3.
Verguts, Tom, et al.. (2024). A low-dimensional approximation of optimal confidence. PLoS Computational Biology. 20(7). e1012273–e1012273. 1 indexed citations
4.
Verguts, Tom, et al.. (2024). Manipulating Prior Beliefs Causally Induces Under- and Overconfidence. Psychological Science. 35(4). 358–375. 5 indexed citations
5.
Verguts, Tom, et al.. (2023). How much data do we need to estimate computational models of decision-making? The COMPASS toolbox. Behavior Research Methods. 56(3). 2537–2548. 1 indexed citations
6.
Verguts, Tom, et al.. (2023). Learning where to be flexible: Using environmental cues to regulate cognitive control.. Journal of Experimental Psychology General. 153(2). 328–338. 4 indexed citations
7.
Liu, Meng, et al.. (2022). Modulating hierarchical learning by high-definition transcranial alternating current stimulation at theta frequency. Cerebral Cortex. 33(8). 4421–4431. 1 indexed citations
8.
Boehler, C. Nico, et al.. (2021). Theta and alpha power across fast and slow timescales in cognitive control. European Journal of Neuroscience. 54(2). 4581–4594. 6 indexed citations
9.
Senoussi, Mehdi, et al.. (2021). Neural Representations of Task Context and Temporal Order During Action Sequence Execution. Topics in Cognitive Science. 14(2). 223–240. 8 indexed citations
10.
Liu, Meng, et al.. (2021). Electrophysiological Signatures of Hierarchical Learning. Cerebral Cortex. 32(3). 626–639. 4 indexed citations
11.
Desender, Kobe, Peter R. Murphy, Annika Boldt, Tom Verguts, & Nick Yeung. (2019). A Postdecisional Neural Marker of Confidence Predicts Information-Seeking in Decision-Making. Journal of Neuroscience. 39(17). 3309–3319. 51 indexed citations
12.
Vassena, Eliana, Robin Gerrits, Jelle Demanet, Tom Verguts, & Roma Šiugždaitė. (2018). Anticipation of a mentally effortful task recruits Dorsolateral Prefrontal Cortex: An fNIRS validation study. Neuropsychologia. 123. 106–115. 53 indexed citations
13.
Loof, Esther De, Filip Van Opstal, & Tom Verguts. (2016). Predictive information speeds up visual awareness in an individuation task by modulating threshold setting, not processing efficiency. Vision Research. 121. 104–112. 13 indexed citations
14.
Metin, Barış, Ruth M. Krebs, Jan R. Wiersema, et al.. (2014). Dysfunctional modulation of default mode network activity in attention-deficit/hyperactivity disorder.. Journal of Abnormal Psychology. 124(1). 208–214. 56 indexed citations
15.
Jeugd, Ann Van der, et al.. (2009). Hippocampal involvement in the acquisition of relational associations, but not in the expression of a transitive inference task in mice.. Behavioral Neuroscience. 123(1). 109–114. 32 indexed citations
16.
Storms, Gert, et al.. (2005). Varying abstraction in categorization A K - means approach. eScholarship (California Digital Library). 27(27). 109–114. 2 indexed citations
17.
Verguts, Tom & Wim Fias. (2005). Neighbourhood effects in mental arithmetic. Ghent University Academic Bibliography (Ghent University). 47(1). 132–140. 20 indexed citations
18.
Verguts, Tom, et al.. (2004). Similarity and Taxonomy in Categorization. eScholarship (California Digital Library). 26(26). 1393–1398. 1 indexed citations
19.
Verguts, Tom & Siegfried Dewitte. (1999). The cerebral code. Thinking a thought in the mosaics of the mind. Acta Psychologica. 100(3). 321–324. 1 indexed citations
20.
Dewitte, Siegfried & Tom Verguts. (1999). Behavioral variation: A neglected aspect in selectionist thinking. 27(2). 127–145. 6 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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