Victor Pitron

861 citations
25 papers · 227 · h-index 7

Impact in

Papers in

Victor Pitron

19 papers receiving 221 citations

Peers

Victor Pitron
Comparison fields: 5 of 64
  • Human-Computer Interaction 34
  • Psychiatry and Mental health 81
  • Neurology 53
  • Clinical Psychology 71
  • Cognitive Neuroscience 65
Replace Jennifer Pigott with:
Jennifer Pigott United Kingdom
Wiebren Markus Netherlands
Veronica Nisticò Italy
Satoru Iwashita Japan
Sara Pisani United Kingdom
Katherine Osborne‐Crowley Australia
Lina Aimola United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Victor Pitron

Since Specialization
Citations

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

Fields of papers citing papers by Victor Pitron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201865
2 201753
3 202326
4 202114
5 201013
6 20239
7 20237
8 20196
9 20245
10 20235
11 20245
12 20234
13 20214
14 20233
15 20242
16 20242
17 20232
18 20201
19 20241
20 20240

About Victor Pitron

Victor Pitron is a scholar working on Psychiatry and Mental health, Clinical Psychology, Neurology, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 25 papers that have together received 227 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (10 papers), Psychosomatic Disorders and Their Treatments (8 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers), COVID-19 and Mental Health (7 papers), Mental Health and Psychiatry (3 papers), Tryptophan and brain disorders (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers) and Sleep and related disorders (2 papers). The work is most often cited by research in Human-Computer Interaction (34 citations), Psychiatry and Mental health (81 citations), Neurology (53 citations), Clinical Psychology (71 citations) and Cognitive Neuroscience (65 citations). Victor Pitron has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Frédérique de Vignemont, Adrian Alsmith, Cédric Lemogne, Clément Gouraud, Brigitte Ranque, Sofiane Kab, Baptiste Pignon, Emmanuel Wiernik, Marcel Goldberg and Joane Matta. Their work appears in journals such as Journal of Psychosomatic Research, Consciousness and Cognition, Neuroscience & Biobehavioral Reviews, Frontiers in Ecology and the Environment and BMC Psychology.

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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