Johan Wagemans

18.9k total citations · 2 hit papers
557 papers, 13.0k citations indexed

About

Johan Wagemans is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Johan Wagemans has authored 557 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 380 papers in Cognitive Neuroscience, 84 papers in Experimental and Cognitive Psychology and 82 papers in Social Psychology. Recurrent topics in Johan Wagemans's work include Visual perception and processing mechanisms (234 papers), Face Recognition and Perception (95 papers) and Aesthetic Perception and Analysis (79 papers). Johan Wagemans is often cited by papers focused on Visual perception and processing mechanisms (234 papers), Face Recognition and Perception (95 papers) and Aesthetic Perception and Analysis (79 papers). Johan Wagemans collaborates with scholars based in Belgium, Netherlands and United States. Johan Wagemans's co-authors include Hans Op de Beeck, Sander Van de Cruys, Michael Kubovy, Werner Helsen, Kris Evers, Lee de‐Wit, Ruth Van der Hallen, Bart Boets, Luc Van Gool and Lien Van Eylen and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Psychological Bulletin.

In The Last Decade

Johan Wagemans

529 papers receiving 12.7k citations

Hit Papers

A century of Gestalt psychology in visual perception: I. ... 2012 2026 2016 2021 2012 2014 250 500 750

Peers

Johan Wagemans
Comparison fields: 5 of 196
  • Cognitive Neuroscience 9.7k
  • Experimental and Cognitive Psychology 2.6k
  • Social Psychology 2.3k
  • Developmental and Educational Psychology 1.9k
  • Computer Vision and Pattern Recognition 1.6k
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Citations per field, relative to Johan Wagemans
Johan Wagemans · 1×
Citations per year, relative to Johan Wagemans
Johan Wagemans · 1×

Countries citing papers authored by Johan Wagemans

Since Specialization
Citations

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

Fields of papers citing papers by Johan Wagemans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Wagemans

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Wagemans. A scholar is included among the top collaborators of Johan Wagemans 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 Johan Wagemans. Johan Wagemans 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
# Work Indexed citations
1 0
2 1
3 1
4 11
5 9
6 4
7 39
8 22
9 25
10 2
11 15
12 224
13
Interpretation of experimental measurements on the SC-1 configuration of the VENUS-F core
2
14 1
15
The role of familiarity and predictability in contour grouping
1
16 1
17 163
18
Atypical objects are easier to spot
1
19
Surface slant and surface curvature from texture
2
20
Differential affine invariants and contour-curvature discrimination
1

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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