Patrick Péruch

1.4k citations
37 papers · 1.1k · h-index 18

Impact in

Papers in

Patrick Péruch

33 papers receiving 1.1k citations

Peers

Patrick Péruch
Comparison fields: 5 of 91
  • Automotive Engineering 632
  • Human-Computer Interaction 231
  • Geography, Planning and Development 190
  • Neurology 212
  • Cognitive Neuroscience 401
Replace Joseph G. Cicinelli with:
Joseph G. Cicinelli United States
Michel‐Ange Amorim France
Randolph D. Easton United States
Elizabeth R. Chrastil United States
Kathleen C. Kirasic United States
Antoine Coutrot France
Gabriel M. Gauthier France
Maryjane Wraga United States
Isabelle Viaud‐Delmon France
David Parslow United Kingdom
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Citations per field
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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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995140
2 2008131
3 199993
4 200377
5 199775
6 199866
7 199555
8 200554
9 201150
10 200050
11 201047
12
The influence of interactivity and attention on spatial learning in a desk-top virtual environment.
200243
13 198934
14 199827
15 200026
16 200623
17 199323
18 200517
19 200315
20 198815

About Patrick Péruch

Patrick Péruch is a scholar working on Automotive Engineering, Cognitive Neuroscience, Geography, Planning and Development, Experimental and Cognitive Psychology and Neurology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Spatial Cognition and Navigation (31 papers), Visual perception and processing mechanisms (9 papers), Geographic Information Systems Studies (8 papers), Geography Education and Pedagogy (4 papers), Vestibular and auditory disorders (4 papers), Visual and Cognitive Learning Processes (3 papers), Tactile and Sensory Interactions (3 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Automotive Engineering (632 citations), Human-Computer Interaction (231 citations), Geography, Planning and Development (190 citations), Neurology (212 citations) and Cognitive Neuroscience (401 citations). Patrick Péruch has collaborated with scholars based in France, Switzerland and United Kingdom. Frequent co-authors include Liliane Borel, Mark A. May, Florence Gaunet, Jean‐Louis Vercher, Gabriel M. Gauthier, M. Lacour, Roy A. Ruddle, Christophe Lopez, Jacques Magnan and Catherine Thinus‐Blanc. Their work appears in journals such as Journal of Environmental Psychology, Ecological Psychology, Acta Psychologica, Cognitive Brain Research and International Journal of Human-Computer Studies.

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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