Mathieu Gayda

3.0k citations
124 papers · 2.1k · h-index 27

Impact in

Papers in

Mathieu Gayda

112 papers receiving 2.1k citations

Peers

Mathieu Gayda
Comparison fields: 5 of 112
  • Complementary and alternative medicine 986
  • Cardiology and Cardiovascular Medicine 1.2k
  • Rehabilitation 156
  • Physiology 557
  • Orthopedics and Sports Medicine 179
Replace Trine Moholdt with:
Trine Moholdt Norway
Todd A. Duhamel Canada
Jeanette G. Wright United States
Bjarne M. Nes Norway
Kiyoshi Sanada Japan
María M. Antón Spain
Duck-chul Lee United States
Mara Patrícia Traina Chacon‐Mikahil Brazil
Anette S. Fjeldstad United States
Matthias Wilhelm Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Mathieu Gayda

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Gayda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012149
2 200984
3 201279
4 201679
5 201668
6 201067
7 201164
8 202063
9 201362
10 201362
11 200458
12 201358
13 200856
14 202256
15 201453
16 201152
17 200644
18 201239
19 201239
20 201731

About Mathieu Gayda

Mathieu Gayda is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Physiology, Public Health, Environmental and Occupational Health and Neurology, having authored 124 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (66 papers), Heart Rate Variability and Autonomic Control (44 papers), Cardiac Health and Mental Health (31 papers), Blood Pressure and Hypertension Studies (15 papers), Cardiovascular Effects of Exercise (15 papers), Cardiovascular Health and Disease Prevention (12 papers), Cardiovascular Function and Risk Factors (11 papers) and Diet and metabolism studies (9 papers). The work is most often cited by research in Complementary and alternative medicine (986 citations), Cardiology and Cardiovascular Medicine (1.2k citations), Rehabilitation (156 citations), Physiology (557 citations) and Orthopedics and Sports Medicine (179 citations). Mathieu Gayda has collaborated with scholars based in Canada, France and Switzerland. Frequent co-authors include Anil Nigam, Martin Juneau, Vincent Grémeaux, Philippe Meyer, Laurent Bosquet, Thibaut Guiraud, Louis Bherer, D Choquet, P. Sosner and Paula Aver Bretanha Ribeiro. Their work appears in journals such as Canadian Journal of Cardiology, Annals of Physical and Rehabilitation Medicine, American Journal of Physical Medicine & Rehabilitation, Applied Physiology Nutrition and Metabolism and Canadian Journal of Diabetes.

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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