Mathieu Favier

701 citations
29 papers · 509 · h-index 10

Impact in

Papers in

Mathieu Favier

27 papers receiving 477 citations

Peers

Mathieu Favier
Comparison fields: 5 of 70
  • Neurology 138
  • Information Systems and Management 56
  • Cellular and Molecular Neuroscience 71
  • Marketing 38
  • Social Psychology 71
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Younghwa Lee South Korea
William Heyward Hampton United States
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Maria Stavrou United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Mathieu Favier

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Favier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200299
2
CHINESE CONSUMER PERCEIVED RISK AND RISK RELIEVERS IN E-SHOPPING FOR CLOTHING
201485
3 201467
4 201452
5 202046
6 201332
7 201526
8 201319
9 201716
10 202111
11 20069
12 20076
13 20216
14 20226
15
Creativity and the creation process in global virtual teams: Case study of the intercultural virtual project.
20064
16 20244
17 20244
18 19993
19
Le modèle économique des places de marché électroniques : Du transactionnel au collaboratif
20083
20 19962

About Mathieu Favier

Mathieu Favier is a scholar working on Social Psychology, Cellular and Molecular Neuroscience, Neurology, Information Systems and Management and Business and International Management, having authored 29 papers that have together received 509 indexed citations. Recurring topics across this work include Team Dynamics and Performance (11 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological disorders and treatments (2 papers), Eating Disorders and Behaviors (2 papers), Neuroscience and Neuropharmacology Research (2 papers), E-Learning and Knowledge Management (1 paper) and Technology Adoption and User Behaviour (1 paper). The work is most often cited by research in Neurology (138 citations), Information Systems and Management (56 citations), Cellular and Molecular Neuroscience (71 citations), Marketing (38 citations) and Social Psychology (71 citations). Mathieu Favier has collaborated with scholars based in France, Canada and Netherlands. Frequent co-authors include Marc Savasta, Carole Carcenac, Sébastien Carnicella, Guillaume Drui, Lili Zheng, Theo M. A. Bemelmans, Michiel van Genuchten, Doug Vogel, A.F. Rutkowski and Sabrina Boulet. Their work appears in journals such as Movement Disorders, IEEE Transactions on Professional Communication, Journal of Clinical Investigation, Journal of Psychiatry and Neuroscience and Current topics in behavioral neurosciences.

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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