Patrick Péruch

26 papers receiving 890 citations

Peers

Patrick Péruch
Comparison fields: 5 of 87
  • Automotive Engineering 518
  • Human-Computer Interaction 176
  • Geography, Planning and Development 143
  • Neurology 215
  • Cognitive Neuroscience 376
Replace Joseph G. Cicinelli with:
Joseph G. Cicinelli United States
Randolph D. Easton United States
Elizabeth R. Chrastil United States
Gabriel M. Gauthier France
Antoine Coutrot France
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I. Israël France
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Citations per year

Countries citing papers authored by Patrick Péruch

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Péruch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Péruch, 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 Patrick Péruch Line = papers co-authored together Patrick Péruch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995132
2 2008113
3 199990
4 199767
5 200365
6 199859
7 200552
8 201149
9 199544
10 201043
11
The influence of interactivity and attention on spatial learning in a desk-top virtual environment.
200241
12 198931
13 199322
14 200022
15 200620
16 200515
17 200315
18 198814
19 201413
20 198612

About Patrick Péruch

Patrick Péruch is a scholar working on Automotive Engineering, Geography, Planning and Development, Cognitive Neuroscience, Neurology and Human-Computer Interaction, having authored 28 papers that have together received 945 indexed citations. Recurring topics across this work include Spatial Cognition and Navigation (23 papers), Geographic Information Systems Studies (6 papers), Visual perception and processing mechanisms (5 papers), Geography Education and Pedagogy (4 papers), Vestibular and auditory disorders (4 papers), Visual and Cognitive Learning Processes (3 papers), Child and Animal Learning Development (3 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Automotive Engineering (518 citations), Human-Computer Interaction (176 citations), Geography, Planning and Development (143 citations), Neurology (215 citations) and Cognitive Neuroscience (376 citations). Patrick Péruch has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Liliane Borel, Florence Gaunet, Jean‐Louis Vercher, Gabriel M. Gauthier, M. Lacour, Mark A. May, Jacques Magnan, Christophe Lopez, Roy A. Ruddle and Paul N. Wilson. Their work appears in journals such as Journal of Environmental Psychology, Ecological Psychology, Acta Psychologica, PRESENCE Virtual and Augmented Reality and PLoS ONE.

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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