Peter De Graef

1.4k citations
53 papers · 1.2k · h-index 19

Impact in

    • Visual perception and processing mechanisms
    • Face Recognition and Perception
    • Neural and Behavioral Psychology Studies
    • Neural dynamics and brain function
    • Olfactory and Sensory Function Studies

Papers in

Peter De Graef

48 papers receiving 1.1k citations

Peers

Peter De Graef
Comparison fields: 5 of 84
  • Cognitive Neuroscience 963
  • Sensory Systems 116
  • Experimental and Cognitive Psychology 321
  • Human-Computer Interaction 140
  • Computer Vision and Pattern Recognition 434
Replace Richard Godijn with:
Richard Godijn Netherlands
Eugene McSorley United Kingdom
Joseph Krummenacher Germany
Wieske van Zoest Italy
Robert Egly United States
Stéphanie Caharel France
Cathleen M. Moore United States
Jessica Irons Australia
Taylor R. Hayes United States
I Bülthoff Germany
Peter De Graef relative to Richard Godijn Netherlands Richard Godijn's profile →
Citations per field
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Richard Godijn · 1×
Citations per year

Countries citing papers authored by Peter De Graef

Since Specialization
Citations

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

Fields of papers citing papers by Peter De Graef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter De Graef. 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 Peter De Graef. The network helps show where Peter De Graef may publish in the future.

Co-authors

The 21 scholars most cited alongside Peter De Graef, 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 Peter De Graef Line = papers co-authored together Peter De Graef links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990267
2 2010124
3 201090
4 201580
5 199552
6 200946
7 199240
8 201038
9 201031
10 199229
11 200029
12 200225
13 201023
14 200222
15 199421
16 200221
17 199821
18 200519
19 201419
20 200017

About Peter De Graef

Peter De Graef is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Human-Computer Interaction and Sensory Systems, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (28 papers), Visual Attention and Saliency Detection (15 papers), Multisensory perception and integration (13 papers), Face Recognition and Perception (13 papers), Neural and Behavioral Psychology Studies (6 papers), Gaze Tracking and Assistive Technology (6 papers), Neural dynamics and brain function (5 papers) and Olfactory and Sensory Function Studies (4 papers). The work is most often cited by research in Cognitive Neuroscience (963 citations), Sensory Systems (116 citations), Experimental and Cognitive Psychology (321 citations), Human-Computer Interaction (140 citations) and Computer Vision and Pattern Recognition (434 citations). Peter De Graef has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Karl Verfaillie, Goedele Van Belle, Bruno Rossion, Johan Wagemans, Géry d’Ydewalle, Filip Germeys, Philippe Lefèvre, Thomas Busigny, Ann Lavrysen and Johan Van Rensbergen. Their work appears in journals such as Journal of Vision, Vision Research, Journal of Experimental Psychology Human Perception & Performance, Perception and Behavioral and Brain Sciences.

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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