Ton Dijkstra

13.7k total citations · 1 hit paper
127 papers, 7.8k citations indexed

About

Ton Dijkstra is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Ton Dijkstra has authored 127 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Cognitive Neuroscience, 79 papers in Developmental and Educational Psychology and 32 papers in Experimental and Cognitive Psychology. Recurrent topics in Ton Dijkstra's work include Neurobiology of Language and Bilingualism (85 papers), Reading and Literacy Development (65 papers) and Second Language Acquisition and Learning (31 papers). Ton Dijkstra is often cited by papers focused on Neurobiology of Language and Bilingualism (85 papers), Reading and Literacy Development (65 papers) and Second Language Acquisition and Learning (31 papers). Ton Dijkstra collaborates with scholars based in Netherlands, United States and Germany. Ton Dijkstra's co-authors include Walter J. B. van Heuven, Janet G. van Hell, Jonathan Grainger, R. Harald Baayen, Herbert Schriefers, Robert Schreuder, Kristin Lemhöfer, Peter Hagoort, Marcel Bastiaansen and A.N. Schellekens and has published in prestigious journals such as PLoS ONE, NeuroImage and Nuclear Physics B.

In The Last Decade

Ton Dijkstra

124 papers receiving 7.3k citations

Hit Papers

The architecture of the bilingual word recognition system... 2002 2026 2010 2018 2002 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ton Dijkstra Netherlands 42 5.9k 5.5k 1.9k 1.1k 916 127 7.8k
Jonathan Cohen Israel 16 2.0k 0.3× 976 0.2× 929 0.5× 184 0.2× 207 0.2× 39 3.2k
S. Gennari Italy 24 826 0.1× 687 0.1× 874 0.5× 453 0.4× 200 0.2× 77 2.1k
Carol Miller United States 27 1.6k 0.3× 2.3k 0.4× 288 0.2× 255 0.2× 127 0.1× 107 3.1k
Alfonso Caramazza United States 37 5.8k 1.0× 4.2k 0.8× 1.5k 0.8× 715 0.6× 515 0.6× 63 7.0k
Christophe Pallier France 41 4.8k 0.8× 3.2k 0.6× 3.0k 1.6× 586 0.5× 1.1k 1.2× 91 7.3k
Virginia A. Marchman United States 36 2.6k 0.4× 6.3k 1.1× 998 0.5× 788 0.7× 543 0.6× 106 7.8k
Guy C. Van Orden United States 32 3.4k 0.6× 3.3k 0.6× 1.2k 0.7× 184 0.2× 747 0.8× 57 5.5k
Ludovic Ferrand France 39 5.0k 0.9× 4.3k 0.8× 2.3k 1.3× 342 0.3× 743 0.8× 133 6.9k
Ram Frost Israel 47 4.6k 0.8× 5.6k 1.0× 1.5k 0.8× 490 0.4× 786 0.9× 106 7.5k
Yosef Grodzinsky Israel 29 4.0k 0.7× 3.3k 0.6× 732 0.4× 1.1k 1.0× 359 0.4× 69 4.8k

Countries citing papers authored by Ton Dijkstra

Since Specialization
Citations

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

Fields of papers citing papers by Ton Dijkstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ton Dijkstra

This figure shows the co-authorship network connecting the top 25 collaborators of Ton Dijkstra. A scholar is included among the top collaborators of Ton Dijkstra 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 Ton Dijkstra. Ton Dijkstra 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.
Rinaldi, Luca, et al.. (2025). Older adults produce more verbal false memories than younger adults: is it semantics or executive functioning?. Aging Clinical and Experimental Research. 37(1). 87–87.
2.
Kootstra, Gerrit Jan, et al.. (2024). The Role of Cognates and Language Distance in Simultaneous Bilingual Children's Productive Vocabulary Acquisition. Language Learning. 75(2). 347–378. 2 indexed citations
3.
Thul, Rüdiger, Joseph A. Marsh, Ton Dijkstra, & Kathy Conklin. (2024). Stratified distributional analysis—a novel perspective on RT distributions. Quarterly Journal of Experimental Psychology. 78(8). 1740–1756.
4.
Kootstra, Gerrit Jan, et al.. (2023). Cross-linguistic influence in the simultaneous bilingual child's lexicon: An eye-tracking and primed picture selection study. Bilingualism Language and Cognition. 27(3). 377–387. 4 indexed citations
6.
Dijkstra, Ton, et al.. (2021). Dropping Beans or Spilling Secrets: How Idiomatic Context Bias Affects Prediction. Journal of Cognitive Neuroscience. 34(2). 209–223. 1 indexed citations
7.
Ferreira, Roberto A., David Vinson, Ton Dijkstra, & Gabriella Vigliocco. (2020). Word learning in two languages: Neural overlap and representational differences. Neuropsychologia. 150. 107703–107703. 3 indexed citations
8.
Peeters, David, et al.. (2018). Activation of the language control network in bilingual visual word recognition. Cortex. 111. 63–73. 17 indexed citations
9.
Dijkstra, Ton, et al.. (2016). Affective Meaning, Concreteness, and Subjective Frequency Norms for Indonesian Words. Frontiers in Psychology. 7. 1907–1907. 31 indexed citations
10.
Peeters, David, Ton Dijkstra, & Jonathan Grainger. (2013). The representation and processing of identical cognates by late bilinguals: RT and ERP effects. Journal of Memory and Language. 68(4). 315–332. 82 indexed citations
11.
Schepens, Job, Ton Dijkstra, F.A. Grootjen, & Walter J. B. van Heuven. (2013). Cross-Language Distributions of High Frequency and Phonetically Similar Cognates. PLoS ONE. 8(5). e63006–e63006. 49 indexed citations
12.
Rommers, Joost, Ton Dijkstra, & Marcel Bastiaansen. (2012). Context-dependent Semantic Processing in the Human Brain: Evidence from Idiom Comprehension. Journal of Cognitive Neuroscience. 25(5). 762–776. 106 indexed citations
13.
Roelofs, Ardi, et al.. (2012). Modeling of word translation: Activation flow from concepts to lexical items. Bilingualism Language and Cognition. 16(2). 343–353. 12 indexed citations
14.
Broek, Egon L. van den, et al.. (2011). Cross-validation of bimodal health-related stress assessment. Personal and Ubiquitous Computing. 17(2). 215–227. 16 indexed citations
15.
Broek, Egon L. van den, et al.. (2009). Therapy progress indicator (TPI): Combining speech parameters and the subjective unit of distress. University of Twente Research Information. 1–6. 6 indexed citations
16.
Heuven, Walter J. B. van, Herbert Schriefers, Ton Dijkstra, & Peter Hagoort. (2008). Language Conflict in the Bilingual Brain. Cerebral Cortex. 18(11). 2706–2716. 165 indexed citations
17.
Anastasopoulos, Pascal, Ton Dijkstra, Elias Kiritsis, & Bert Schellekens. (2006). Orientifolds, hypercharge embeddings and the Standard Model. Nuclear Physics B. 759(1-2). 83–146. 109 indexed citations
18.
Dijkstra, Ton & Koenraad De Smedt. (1996). Computational psycholinguistics : AI and connectionist models of human language processing. 13 indexed citations
19.
Dijkstra, Ton, et al.. (1995). Orthographic effects on phoneme monitoring. Radboud Repository (Radboud University). 49. 264–271. 1 indexed citations
20.
Frauenfelder, Uli H., Juan Seguí, & Ton Dijkstra. (1990). Lexical effects in phonemic processing: Facilitatory or inhibitory?. Journal of Experimental Psychology Human Perception & Performance. 16(1). 77–91. 56 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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