Leendert van Maanen

3.3k total citations
82 papers, 1.9k citations indexed

About

Leendert van Maanen is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Leendert van Maanen has authored 82 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 22 papers in Artificial Intelligence and 14 papers in Developmental and Educational Psychology. Recurrent topics in Leendert van Maanen's work include Neural and Behavioral Psychology Studies (38 papers), Neural dynamics and brain function (24 papers) and Visual perception and processing mechanisms (16 papers). Leendert van Maanen is often cited by papers focused on Neural and Behavioral Psychology Studies (38 papers), Neural dynamics and brain function (24 papers) and Visual perception and processing mechanisms (16 papers). Leendert van Maanen collaborates with scholars based in Netherlands, United States and Australia. Leendert van Maanen's co-authors include Birte U. Forstmann, Hedderik van Rijn, Brandon M. Turner, Eric‐Jan Wagenmakers, Martijn Mulder, Julian N. Marewski, Max C. Keuken, Scott Brown, Steven Miletić and Royce Anders and has published in prestigious journals such as Journal of Neuroscience, Nature reviews. Neuroscience and PLoS ONE.

In The Last Decade

Leendert van Maanen

77 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leendert van Maanen Netherlands 26 1.4k 299 289 286 264 82 1.9k
Anne Collins United States 28 2.6k 1.9× 478 1.6× 310 1.1× 710 2.5× 295 1.1× 62 3.5k
Trisha Van Zandt United States 25 1.9k 1.4× 386 1.3× 375 1.3× 542 1.9× 333 1.3× 49 3.0k
Gilles Dutilh Switzerland 18 1.1k 0.8× 117 0.4× 99 0.3× 303 1.1× 339 1.3× 34 1.7k
Markus Knauff Germany 25 941 0.7× 518 1.7× 508 1.8× 546 1.9× 133 0.5× 90 2.4k
Jeffrey J. Starns United States 22 1.6k 1.1× 251 0.8× 388 1.3× 283 1.0× 222 0.8× 60 1.8k
Angela J. Yu United States 22 2.6k 1.9× 229 0.8× 276 1.0× 619 2.2× 400 1.5× 57 3.7k
Jordan M. Province United States 7 933 0.7× 253 0.8× 162 0.6× 376 1.3× 116 0.4× 7 1.5k
Andrea Stocco United States 19 1.2k 0.9× 287 1.0× 187 0.6× 208 0.7× 71 0.3× 74 1.6k
Hang Zhang China 16 1.1k 0.8× 254 0.8× 221 0.8× 302 1.1× 139 0.5× 85 1.9k
Florent Meyniel France 20 1.2k 0.9× 174 0.6× 136 0.5× 243 0.8× 142 0.5× 32 1.5k

Countries citing papers authored by Leendert van Maanen

Since Specialization
Citations

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

Fields of papers citing papers by Leendert van Maanen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leendert van Maanen

This figure shows the co-authorship network connecting the top 25 collaborators of Leendert van Maanen. A scholar is included among the top collaborators of Leendert van Maanen 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 Leendert van Maanen. Leendert van Maanen 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.
Strauch, Christoph, et al.. (2024). Shifting reliance between the internal and external world: A meta-analysis on visual-working memory use. Psychonomic Bulletin & Review. 32(3). 1118–1130.
2.
Rehder, Bob, et al.. (2024). Models of Variability in Probabilistic Causal Judgments. Computational Brain & Behavior. 8(1). 162–188. 2 indexed citations
3.
Liefooghe, Baptist & Leendert van Maanen. (2023). Three levels at which the user's cognition can be represented in artificial intelligence. Frontiers in Artificial Intelligence. 5. 1092053–1092053. 7 indexed citations
4.
Steinert‐Threlkeld, Shane, et al.. (2023). Uncovering the Structure of Semantic Representations Using a Computational Model of Decision‐Making. Cognitive Science. 47(1). e13234–e13234. 1 indexed citations
5.
Lebreton, Maël, et al.. (2023). Specificity and sensitivity of the fixed-point test for binary mixture distributions. Behavior Research Methods. 56(4). 2977–2991. 1 indexed citations
6.
Velde, M. van der, Florian Sense, Jelmer P. Borst, Leendert van Maanen, & Hedderik van Rijn. (2022). Capturing Dynamic Performance in a Cognitive Model: Estimating ACT‐R Memory Parameters With the Linear Ballistic Accumulator. Topics in Cognitive Science. 14(4). 889–903. 6 indexed citations
7.
Lodder, Paul, et al.. (2021). Quantifiers satisfying semantic universals are simpler. Utrecht University Repository (Utrecht University). 5 indexed citations
8.
Maanen, Leendert van, et al.. (2021). Identifiability and Specificity of the Two-Point Visual Control Model of Steering. eScholarship (California Digital Library). 43(43). 3 indexed citations
9.
Maanen, Leendert van, et al.. (2021). The Discovery and Interpretation of Evidence Accumulation Stages. Computational Brain & Behavior. 4(4). 395–415. 7 indexed citations
10.
Maanen, Leendert van, et al.. (2020). Representational complexity and pragmatics cause the monotonicity effect. Cognitive Science. 3 indexed citations
11.
Forstmann, Birte U., et al.. (2019). Proactive interference in aging: A model-based study. Psychonomic Bulletin & Review. 27(1). 130–138. 5 indexed citations
12.
Miletić, Steven & Leendert van Maanen. (2019). Caution in decision-making under time pressure is mediated by timing ability. Cognitive Psychology. 110. 16–29. 35 indexed citations
13.
Hollander, Gilles de, et al.. (2018). A neural substrate of early response capture during conflict tasks in sensory areas. Neuropsychologia. 124. 226–235. 4 indexed citations
14.
Maanen, Leendert van, Laura Fontanesi, Guy E. Hawkins, & Birte U. Forstmann. (2016). Striatal activation reflects urgency in perceptual decision making. NeuroImage. 139. 294–303. 25 indexed citations
15.
Turner, Brandon M., Birte U. Forstmann, Bradley C. Love, Thomas J. Palmeri, & Leendert van Maanen. (2016). Approaches to analysis in model-based cognitive neuroscience. Journal of Mathematical Psychology. 76(B). 65–79. 126 indexed citations
16.
Forstmann, Birte U., Gilles de Hollander, Leendert van Maanen, Anneke Alkemade, & Max C. Keuken. (2016). Towards a mechanistic understanding of the human subcortex. Nature reviews. Neuroscience. 18(1). 57–65. 73 indexed citations
17.
Keuken, Max C., et al.. (2014). Early evidence affects later decisions: Why evidence accumulation is required to explain response time data. Psychonomic Bulletin & Review. 21(3). 777–784. 27 indexed citations
18.
Mulder, Martijn J., Max C. Keuken, Leendert van Maanen, et al.. (2013). The speed and accuracy of perceptual decisions in a random-tone pitch task. Attention Perception & Psychophysics. 75(5). 1048–1058. 34 indexed citations
19.
Maanen, Leendert van, Scott Brown, Tom Eichele, et al.. (2011). Neural Correlates of Trial-to-Trial Fluctuations in Response Caution. Journal of Neuroscience. 31(48). 17488–17495. 138 indexed citations
20.
Maanen, Leendert van & Julian N. Marewski. (2009). Proceedings of the 31st Annual Meeting of the Cognitive Science Society. 82 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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