Iris van Rooij

3.7k citations
77 papers · 1.7k · 1 hit paper · h-index 25

Impact in

Papers in

Iris van Rooij

74 papers receiving 1.6k citations

Hit Papers

Theory Before the Test: How to Build High-Verisimilitude Explanatory Theories in Psychological Science 2021 · 152 citations
1520+1+3Years since publication50100150

Peers

Iris van Rooij
Comparison fields: 5 of 122
  • General Decision Sciences 101
  • Cognitive Neuroscience 712
  • History and Philosophy of Science 141
  • Developmental and Educational Psychology 319
  • Experimental and Cognitive Psychology 289
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Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Theory Before the Test: How to Build High-Verisimilitude Explanatory Theories in Psychological Science
Hit paper breakdown →
2021152
2 2008150
3 201983
4 201172
5 201666
6 201661
7 201154
8 200352
9 201648
10 201246
11 201342
12 200841
13 201240
14 202038
15 200234
16 200733
17 201930
18 201030
19
Cognition and Intractability : A Guide to Classical and Parameterized Complexity Analysis
201928
20 201125

About Iris van Rooij

Iris van Rooij is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Developmental and Educational Psychology, Social Psychology and Computational Theory and Mathematics, having authored 77 papers that have together received 1.7k indexed citations. Recurring topics across this work include Child and Animal Learning Development (19 papers), Action Observation and Synchronization (17 papers), Computability, Logic, AI Algorithms (13 papers), Bayesian Modeling and Causal Inference (12 papers), Embodied and Extended Cognition (11 papers), Cognitive Science and Mapping (11 papers), Neural dynamics and brain function (10 papers) and Language and cultural evolution (7 papers). The work is most often cited by research in General Decision Sciences (101 citations), Cognitive Neuroscience (712 citations), History and Philosophy of Science (141 citations), Developmental and Educational Psychology (319 citations) and Experimental and Cognitive Psychology (289 citations). Iris van Rooij has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include Johan Kwisthout, Giosuè Baggio, Todd Wareham, Harold Bekkering, Pim Haselager, Mark Blokpoel, Sebo Uithol, Ulrike Stege, Ivan Toni and Daniël Wigboldus. Their work appears in journals such as Cognitive Science, Computational Brain & Behavior, Synthese, Journal of Mathematical Psychology and Philosophical Psychology.

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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