Iris van Rooij

3.7k total citations · 1 hit paper
77 papers, 1.7k citations indexed

About

Iris van Rooij is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Iris van Rooij has authored 77 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 28 papers in Artificial Intelligence and 22 papers in Developmental and Educational Psychology. Recurrent topics in Iris van Rooij's work include Child and Animal Learning Development (19 papers), Action Observation and Synchronization (17 papers) and Computability, Logic, AI Algorithms (13 papers). Iris van Rooij is often cited by papers focused on Child and Animal Learning Development (19 papers), Action Observation and Synchronization (17 papers) and Computability, Logic, AI Algorithms (13 papers). Iris van Rooij collaborates with scholars based in Netherlands, Canada and United States. Iris van Rooij's co-authors include Johan Kwisthout, Giosuè Baggio, Todd Wareham, Harold Bekkering, Pim Haselager, Mark Blokpoel, Sebo Uithol, Ulrike Stege, Ivan Toni and Ron Dotsch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and SHILAP Revista de lepidopterología.

In The Last Decade

Iris van Rooij

74 papers receiving 1.6k citations

Hit Papers

Theory Before the Test: How to Build High-Verisimilitude ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iris van Rooij Netherlands 25 712 454 424 319 289 77 1.7k
Eugène United States 6 747 1.0× 440 1.0× 310 0.7× 457 1.4× 483 1.7× 22 2.2k
Sangeet Khemlani United States 22 370 0.5× 636 1.4× 243 0.6× 417 1.3× 261 0.9× 82 1.5k
Keith Stenning United Kingdom 23 380 0.5× 967 2.1× 151 0.4× 687 2.2× 467 1.6× 85 2.2k
Danielle Navarro Australia 27 780 1.1× 1.1k 2.4× 251 0.6× 698 2.2× 472 1.6× 127 2.7k
Aaron Sloman United Kingdom 24 568 0.8× 851 1.9× 376 0.9× 106 0.3× 419 1.4× 121 1.8k
Richard Cooper United Kingdom 22 885 1.2× 285 0.6× 432 1.0× 540 1.7× 358 1.2× 96 1.7k
Amy Perfors Australia 21 699 1.0× 755 1.7× 182 0.4× 992 3.1× 356 1.2× 71 2.1k
John E. Hummel United States 17 712 1.0× 708 1.6× 288 0.7× 942 3.0× 441 1.5× 44 1.9k
Chris L. Baker United States 12 406 0.6× 420 0.9× 365 0.9× 422 1.3× 90 0.3× 19 1.2k
Falk Lieder United States 20 1.1k 1.6× 471 1.0× 218 0.5× 278 0.9× 415 1.4× 60 2.3k

Countries citing papers authored by Iris van Rooij

Since Specialization
Citations

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

Fields of papers citing papers by Iris van Rooij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iris van Rooij. 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 Iris van Rooij. The network helps show where Iris van Rooij may publish in the future.

Co-authorship network of co-authors of Iris van Rooij

This figure shows the co-authorship network connecting the top 25 collaborators of Iris van Rooij. A scholar is included among the top collaborators of Iris van Rooij 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 Iris van Rooij. Iris van Rooij 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.
Rooij, Iris van, et al.. (2024). Reclaiming AI as a Theoretical Tool for Cognitive Science. Computational Brain & Behavior. 7(4). 616–636. 17 indexed citations
2.
Rooij, Iris van. (2024). How the curse of intractability can be cognitive science’s blessing. PsyArXiv (OSF Preprints).
3.
Slors, Marc, et al.. (2021). Joint Simon effect in movement trajectories. PLoS ONE. 16(12). e0261735–e0261735. 2 indexed citations
4.
Rooij, Iris van & Giosuè Baggio. (2021). Theory Before the Test: How to Build High-Verisimilitude Explanatory Theories in Psychological Science. Perspectives on Psychological Science. 16(4). 682–697. 152 indexed citations breakdown →
5.
Blokpoel, Mark, et al.. (2020). How Intractability Spans the Cognitive and Evolutionary Levels of Explanation. Topics in Cognitive Science. 12(4). 1382–1402. 13 indexed citations
6.
Kayhan, Ezgi, et al.. (2019). Young children integrate current observations, priors and agent information to predict others’ actions. PLoS ONE. 14(5). e0200976–e0200976. 9 indexed citations
7.
Blokpoel, Mark, et al.. (2019). Naturalism, tractability and the adaptive toolbox. Synthese. 198(6). 5749–5784. 10 indexed citations
8.
Rooij, Iris van, et al.. (2018). Parameterized Complexity of Theory of Mind Reasoning in Dynamic Epistemic Logic. Journal of Logic Language and Information. 27(3). 255–294. 12 indexed citations
9.
Kokal, Idil, Mark Blokpoel, Rui Liu, et al.. (2017). Oxytocin modulates human communication by enhancing cognitive exploration. Psychoneuroendocrinology. 86. 64–72. 5 indexed citations
10.
Dotsch, Ron, et al.. (2016). Do we spontaneously form stable trustworthiness impressions from facial appearance?. Journal of Personality and Social Psychology. 111(5). 655–664. 61 indexed citations
11.
Kwisthout, Johan, Harold Bekkering, & Iris van Rooij. (2016). To be precise, the details don’t matter: On predictive processing, precision, and level of detail of predictions. Brain and Cognition. 112. 84–91. 48 indexed citations
12.
Wareham, Todd, et al.. (2015). How did Homo Heuristicus become ecologically rational. Cognitive Science. 4 indexed citations
13.
Kwisthout, Johan & Iris van Rooij. (2013). Predictive coding and the Bayesian brain: Intractability hurdles that are yet to be overcome.. Cognitive Science. 3 indexed citations
14.
Uithol, Sebo, Iris van Rooij, Harold Bekkering, & Pim Haselager. (2012). Hierarchies in Action and Motor Control. Journal of Cognitive Neuroscience. 24(5). 1077–1086. 46 indexed citations
15.
Uithol, Sebo, Iris van Rooij, Harold Bekkering, & Pim Haselager. (2011). What do mirror neurons mirror?. Philosophical Psychology. 24(5). 607–623. 25 indexed citations
16.
Wareham, Todd, Johan Kwisthout, Pim Haselager, & Iris van Rooij. (2011). Ignorance is bliss: A complexity perspective on adapting reactive architectures. Radboud Repository (Radboud University). 19. 1–5. 6 indexed citations
17.
Rooij, Iris van, Johan Kwisthout, Mark Blokpoel, et al.. (2011). Intentional Communication: Computationally Easy or Difficult?. Frontiers in Human Neuroscience. 5. 52–52. 25 indexed citations
18.
Paulus, Markus, et al.. (2011). The role of frequency information and teleological reasoning in infants' and adults' action prediction.. Developmental Psychology. 47(4). 976–983. 54 indexed citations
19.
Rooij, Iris van. (2008). The Tractable Cognition Thesis. Cognitive Science. 32(6). 939–984. 150 indexed citations
20.
Rooij, Iris van, Raoul M. Bongers, & Pim Haselager. (2000). The dynamics of simple prediction: Judging reachability. Conference Cognitive Science. 22(22). 535–540. 4 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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