Peter De Graef

1.4k citations
45 papers · 1.1k · h-index 19

Impact in

Papers in

Peter De Graef

43 papers receiving 1.1k citations

Peers

Peter De Graef
Comparison fields: 5 of 71
  • Cognitive Neuroscience 865
  • Computer Vision and Pattern Recognition 233
  • Human-Computer Interaction 40
  • Developmental and Educational Psychology 64
  • Social Psychology 49
Replace Judith M. Shedden with:
Judith M. Shedden Canada
Timothy John Smith United Kingdom
Anna S. Law United Kingdom
Bettina Olk Germany
José Ossandón Germany
Melissa R. Beck United States
Adam M. Larson United States
L. H. Shaffer United Kingdom
Anthony J. Morandi United States
Filipe Cristino United Kingdom
Peter De Graef relative to Judith M. Shedden Canada Judith M. Shedden's profile →
Citations per field
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Judith M. Shedden · 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 19 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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990264
2 2010126
3 201090
4 201585
5 199550
6 200946
7 199239
8 201038
9 201032
10 200029
11 199228
12 200225
13 201023
14 200222
15 199821
16 200221
17 199420
18 201420
19 200519
20 200413

About Peter De Graef

Peter De Graef is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Human-Computer Interaction, Experimental and Cognitive Psychology and Education, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (34 papers), Face Recognition and Perception (6 papers), Visual Attention and Saliency Detection (5 papers), Philosophy and Theoretical Science (2 papers), Gaze Tracking and Assistive Technology (2 papers), Embodied and Extended Cognition (2 papers), Early Childhood Education and Development (2 papers) and Memory Processes and Influences (1 paper). The work is most often cited by research in Cognitive Neuroscience (865 citations), Computer Vision and Pattern Recognition (233 citations), Human-Computer Interaction (40 citations), Developmental and Educational Psychology (64 citations) and Social Psychology (49 citations). Peter De Graef has collaborated with scholars based in Belgium, Ireland and United States. Frequent co-authors include Karl Verfaillie, Goedele Van Belle, Bruno Rossion, Johan P. Wagemans, Géry d’Ydewalle, Philippe Lefèvre, Filip Germeys, Thomas Busigny, Ann Lavrysen and Johan Van Rensbergen. Their work appears in journals such as Journal of Vision, Vision Research, Perception, Behavioral and Brain Sciences and Visual Cognition.

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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