Wouter Schellekens

25 total papers · 487 total citations
12 papers, 224 citations indexed

About

Wouter Schellekens is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Wouter Schellekens has authored 12 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Wouter Schellekens's work include Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (8 papers) and Visual perception and processing mechanisms (5 papers). Wouter Schellekens is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (8 papers) and Visual perception and processing mechanisms (5 papers). Wouter Schellekens collaborates with scholars based in Netherlands, United States and Germany. Wouter Schellekens's co-authors include Nick F. Ramsey, Natalia Petridou, Mathijs Raemaekers, Richard van Wezel, Gert Kristo, Marco Thio, Jonathan Winawer, Stephanie Badde, Iris I. A. Groen and Alex A. Bhogal and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

Wouter Schellekens

12 papers receiving 223 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wouter Schellekens 198 51 25 19 14 12 224
Clément M. Garin 121 0.6× 66 1.3× 50 2.0× 29 1.5× 10 0.7× 16 228
Petya D. Radoeva 226 1.1× 78 1.5× 28 1.1× 18 0.9× 7 0.5× 9 315
Poortata Lalwani 191 1.0× 33 0.6× 36 1.4× 30 1.6× 13 0.9× 10 245
Victor M. Saenger 239 1.2× 90 1.8× 40 1.6× 14 0.7× 3 0.2× 8 295
Anna Bereś 147 0.7× 43 0.8× 16 0.6× 12 0.6× 5 0.4× 16 249
Alessio Basti 215 1.1× 27 0.5× 20 0.8× 25 1.3× 8 0.6× 24 245
Lorenzo Magazzini 186 0.9× 34 0.7× 52 2.1× 19 1.0× 13 0.9× 10 263
Anne C. Trutti 161 0.8× 102 2.0× 31 1.2× 22 1.2× 6 0.4× 16 269
Sucharit Katyal 243 1.2× 47 0.9× 17 0.7× 22 1.2× 7 0.5× 23 294
Nicolas Coquelet 248 1.3× 53 1.0× 38 1.5× 13 0.7× 7 0.5× 23 308

Countries citing papers authored by Wouter Schellekens

Since Specialization
Citations

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

Fields of papers citing papers by Wouter Schellekens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wouter Schellekens

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

All Works

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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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