Stan van Pelt

1.8k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

Stan van Pelt is a scholar working on Cognitive Neuroscience, Social Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stan van Pelt has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 4 papers in Social Psychology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stan van Pelt's work include Neural dynamics and brain function (10 papers), Visual perception and processing mechanisms (6 papers) and Motor Control and Adaptation (4 papers). Stan van Pelt is often cited by papers focused on Neural dynamics and brain function (10 papers), Visual perception and processing mechanisms (6 papers) and Motor Control and Adaptation (4 papers). Stan van Pelt collaborates with scholars based in Netherlands, Germany and United Kingdom. Stan van Pelt's co-authors include Pascal Fries, W. Pieter Medendorp, Julien Vezoli, Georgios Michalareas, Jan‐Mathijs Schoffelen, Henry Kennedy, Ayelet N. Landau, Helene M. Schreyer, Sabine M. Beurze and Dorret I. Boomsma and has published in prestigious journals such as Neuron, Journal of Neuroscience and NeuroImage.

In The Last Decade

Stan van Pelt

18 papers receiving 1.2k citations

Hit Papers

Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedfo... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stan van Pelt Netherlands 15 1.1k 229 97 76 51 18 1.2k
Verónica Nácher Mexico 11 1.1k 1.0× 250 1.1× 52 0.5× 85 1.1× 62 1.2× 15 1.2k
Dominique L. Pritchett United States 12 899 0.8× 361 1.6× 67 0.7× 70 0.9× 80 1.6× 19 1.0k
Matthew J. Nelson United States 11 1.0k 0.9× 276 1.2× 141 1.5× 60 0.8× 58 1.1× 18 1.1k
Anil Bollimunta United States 12 986 0.9× 264 1.2× 40 0.4× 55 0.7× 31 0.6× 12 1.1k
David A. Crowe United States 18 1.1k 1.0× 203 0.9× 172 1.8× 92 1.2× 40 0.8× 29 1.3k
Ingo Fründ Germany 13 1.0k 0.9× 171 0.7× 81 0.8× 153 2.0× 21 0.4× 23 1.1k
David Seelig United States 9 685 0.6× 247 1.1× 119 1.2× 53 0.7× 24 0.5× 11 826
Víctor de Lafuente Mexico 20 1.4k 1.2× 327 1.4× 107 1.1× 211 2.8× 51 1.0× 43 1.5k
Nicolas W. Schuck Germany 18 1.1k 1.0× 214 0.9× 95 1.0× 155 2.0× 58 1.1× 45 1.3k
Timo van Kerkoerle France 10 1.0k 0.9× 305 1.3× 34 0.4× 71 0.9× 21 0.4× 15 1.1k

Countries citing papers authored by Stan van Pelt

Since Specialization
Citations

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

Fields of papers citing papers by Stan van Pelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stan van Pelt

This figure shows the co-authorship network connecting the top 25 collaborators of Stan van Pelt. A scholar is included among the top collaborators of Stan van Pelt 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 Stan van Pelt. Stan van Pelt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Meyer, Marlene, et al.. (2020). From movement to action: An EEG study into the emerging sense of agency in early infancy. Developmental Cognitive Neuroscience. 42. 100760–100760. 20 indexed citations
2.
Colizoli, Olympia, et al.. (2019). Processing of Prediction Errors in Mentalizing Areas. Journal of Cognitive Neuroscience. 31(6). 900–912. 8 indexed citations
3.
Pelt, Stan van, Elena Shumskaya, & Pascal Fries. (2018). Cortical volume and sex influence visual gamma. NeuroImage. 178. 702–712. 23 indexed citations
4.
Kwisthout, Johan, et al.. (2018). One wouldn’t expect an expert bowler to hit only two pins: Hierarchical predictive processing of agent-caused events. Quarterly Journal of Experimental Psychology. 71(12). 2643–2654. 4 indexed citations
5.
Michalareas, Georgios, Julien Vezoli, Stan van Pelt, et al.. (2016). Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas. Neuron. 89(2). 384–397. 475 indexed citations breakdown →
6.
Pelt, Stan van, et al.. (2016). Beta- and gamma-band activity reflect predictive coding in the processing of causal events. Social Cognitive and Affective Neuroscience. 11(6). 973–980. 66 indexed citations
7.
Weyers, Sharon L., Curtis J. Dell, Daren Harmel, et al.. (2016). USDA Agricultural Research Service creates Nutrient Uptake and Outcome Network (NUOnet). Journal of Soil and Water Conservation. 71(6). 3 indexed citations
8.
Landau, Ayelet N., Helene M. Schreyer, Stan van Pelt, & Pascal Fries. (2015). Distributed Attention Is Implemented through Theta-Rhythmic Gamma Modulation. Current Biology. 25(17). 2332–2337. 186 indexed citations
9.
Ede, Freek van, Stan van Pelt, Pascal Fries, & Eric Maris. (2014). Both ongoing alpha and visually induced gamma oscillations show reliable diversity in their across-site phase-relations. Journal of Neurophysiology. 113(5). 1556–1563. 20 indexed citations
10.
Pelt, Stan van & Pascal Fries. (2013). Visual stimulus eccentricity affects human gamma peak frequency. NeuroImage. 78. 439–447. 41 indexed citations
11.
Pelt, Stan van, Dorret I. Boomsma, & Pascal Fries. (2012). Magnetoencephalography in Twins Reveals a Strong Genetic Determination of the Peak Frequency of Visually Induced Gamma-Band Synchronization. Journal of Neuroscience. 32(10). 3388–3392. 89 indexed citations
12.
Pelt, Stan van, Ivan Toni, Jörn Diedrichsen, & W. Pieter Medendorp. (2010). Repetition Suppression Dissociates Spatial Frames of Reference in Human Saccade Generation. Journal of Neurophysiology. 104(3). 1239–1248. 18 indexed citations
13.
Pelt, Stan van & W. Pieter Medendorp. (2008). Updating Target Distance Across Eye Movements in Depth. Journal of Neurophysiology. 99(5). 2281–2290. 30 indexed citations
14.
Medendorp, W. Pieter, Sabine M. Beurze, Stan van Pelt, & Jurrian van der Werf. (2007). Behavioral and cortical mechanisms for spatial coding and action planning. Cortex. 44(5). 587–597. 41 indexed citations
15.
Pelt, Stan van & W. Pieter Medendorp. (2006). Gaze-Centered Updating of Remembered Visual Space During Active Whole-Body Translations. Journal of Neurophysiology. 97(2). 1209–1220. 35 indexed citations
16.
Beurze, Sabine M., Stan van Pelt, & W. Pieter Medendorp. (2006). Behavioral Reference Frames for Planning Human Reaching Movements. Journal of Neurophysiology. 96(1). 352–362. 68 indexed citations
17.
Pelt, Stan van, J.A.M. Van Gisbergen, & W. Pieter Medendorp. (2005). Visuospatial Memory Computations During Whole-Body Rotations in Roll. Journal of Neurophysiology. 94(2). 1432–1442. 26 indexed citations
18.
Medendorp, W. Pieter, J.A.M. Van Gisbergen, Stan van Pelt, & C.C.A.M. Gielen. (2000). Context Compensation in the Vestibuloocular Reflex During Active Head Rotations. Journal of Neurophysiology. 84(6). 2904–2917. 15 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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