Nicolas Peyrot

2.0k total citations · 1 hit paper
52 papers, 1.5k citations indexed

About

Nicolas Peyrot is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Nicolas Peyrot has authored 52 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Orthopedics and Sports Medicine, 27 papers in Biomedical Engineering and 14 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Nicolas Peyrot's work include Sports Performance and Training (19 papers), Lower Extremity Biomechanics and Pathologies (15 papers) and Sports injuries and prevention (15 papers). Nicolas Peyrot is often cited by papers focused on Sports Performance and Training (19 papers), Lower Extremity Biomechanics and Pathologies (15 papers) and Sports injuries and prevention (15 papers). Nicolas Peyrot collaborates with scholars based in France, Réunion and Canada. Nicolas Peyrot's co-authors include Jean‐Benoît Morin, Pierre Samozino, Pascal Édouard, Teddy Caderby, Georges Dalleau, Jean‐René Lacour, M. Bourdin, Sylvain Dorel, Jean Slawinski and Eduardo Sáez de Villarreal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Nicolas Peyrot

47 papers receiving 1.4k citations

Hit Papers

A simple method for measu... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolas Peyrot France 17 947 748 269 172 163 52 1.5k
Georges Dalleau Réunion 21 892 0.9× 807 1.1× 303 1.1× 67 0.4× 168 1.0× 47 1.6k
Carlos Bolli Mota Brazil 16 623 0.7× 418 0.6× 212 0.8× 85 0.5× 100 0.6× 110 1.2k
Francisco J. Vera-García Spain 26 1.6k 1.6× 629 0.8× 320 1.2× 112 0.7× 149 0.9× 89 2.7k
Con Hrysomallis Australia 18 1.2k 1.2× 577 0.8× 363 1.3× 146 0.8× 75 0.5× 30 1.6k
Frank B. Underwood United States 15 1.9k 2.0× 1.0k 1.4× 229 0.9× 95 0.6× 143 0.9× 29 2.7k
Bas Van Hooren Netherlands 18 1.0k 1.1× 632 0.8× 118 0.4× 118 0.7× 42 0.3× 62 1.4k
Scott W. Shaffer United States 19 971 1.0× 381 0.5× 337 1.3× 87 0.5× 168 1.0× 40 1.8k
William D. Bandy United States 17 1.3k 1.3× 503 0.7× 127 0.5× 70 0.4× 181 1.1× 43 2.1k
Falk Mersmann Germany 26 1.4k 1.4× 596 0.8× 231 0.9× 49 0.3× 146 0.9× 61 1.8k
J. Brent Feland United States 19 775 0.8× 313 0.4× 131 0.5× 46 0.3× 102 0.6× 54 1.2k

Countries citing papers authored by Nicolas Peyrot

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Peyrot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Peyrot

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Peyrot. A scholar is included among the top collaborators of Nicolas Peyrot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicolas Peyrot. Nicolas Peyrot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rahmani, Abderrahmane, et al.. (2025). Does Core Training Improve Agility Performance in Soccer Players With Groin Pain? A Randomized, Single-Blind Study. International Journal of Sports Physiology and Performance. 20(3). 385–392. 1 indexed citations
2.
Boyas, Sébastien, et al.. (2025). How Does Push-Off Distance Influence Force–Velocity Profile and Performance During Vertical Jumping?. Journal of Applied Biomechanics. 41(2). 161–166.
3.
Peyrot, Nicolas, et al.. (2024). Effects of Explosive vs. Strength Resistance Training on Plantar Flexor Neuromuscular and Functional Capacities in Institutionalized Older Adults: A Randomized Controlled Trial. Journal of Functional Morphology and Kinesiology. 9(4). 261–261. 1 indexed citations
4.
Boyas, Sébastien, et al.. (2024). Influence of countermovement depth on net force, push-off time, vertical impulse and performance during jumping. Journal of Electromyography and Kinesiology. 79. 102945–102945. 1 indexed citations
6.
Peyrot, Nicolas, et al.. (2023). Force–velocity profile in sprinting: sex effect. European Journal of Applied Physiology. 123(4). 911–921. 5 indexed citations
7.
Begon, Mickaël, et al.. (2023). Effects of Functional Electrical Stimulation on Gait Characteristics in Healthy Individuals: A Systematic Review. Sensors. 23(21). 8684–8684. 8 indexed citations
9.
Samozino, Pierre, Nicolas Peyrot, Pascal Édouard, et al.. (2021). Optimal mechanical force‐velocity profile for sprint acceleration performance. Scandinavian Journal of Medicine and Science in Sports. 32(3). 559–575. 47 indexed citations
10.
Caderby, Teddy, et al.. (2020). Obesity-related alterations in anticipatory postural mechanisms associated with gait initiation. Experimental Brain Research. 238(11). 2557–2567. 8 indexed citations
11.
Peyrot, Nicolas, et al.. (2020). Estimating energy expenditure from accelerometer data in healthy adults and patients with type 2 diabetes. Experimental Gerontology. 134. 110894–110894. 5 indexed citations
12.
Rahmani, Abderrahmane, et al.. (2020). Neuromuscular, Psychological, and Sleep Predictors of Cancer-Related Fatigue in Cancer Patients. Clinical Breast Cancer. 21(5). 425–432. 16 indexed citations
13.
Peyrot, Nicolas, et al.. (2019). Age-related changes in the control of whole-body angular momentum during stepping. Experimental Gerontology. 127. 110714–110714. 18 indexed citations
14.
Caderby, Teddy, et al.. (2019). Effect of speed on mediolateral dynamic stability during stepping in older adults. Computer Methods in Biomechanics & Biomedical Engineering. 22(sup1). S474–S475. 1 indexed citations
15.
Peyrot, Nicolas, et al.. (2018). Effect of type 2 diabetes on energy cost and preferred speed of walking. European Journal of Applied Physiology. 118(11). 2331–2338. 9 indexed citations
16.
Caderby, Teddy, Éric Yiou, Nicolas Peyrot, Mickaël Begon, & Georges Dalleau. (2013). Influence of gait speed on the control of mediolateral dynamic stability during gait initiation. Journal of Biomechanics. 47(2). 417–423. 90 indexed citations
17.
Peyrot, Nicolas, et al.. (2012). Energy Cost and Mechanical Work of Walking during Load Carriage in Soldiers. Medicine & Science in Sports & Exercise. 44(6). 1131–1140. 39 indexed citations
18.
Millet, Guillaume Y., Nicolas Peyrot, Pierre Samozino, et al.. (2012). Effects of Extreme-Duration Heavy Load Carriage on Neuromuscular Function and Locomotion: A Military-Based Study. PLoS ONE. 7(8). e43586–e43586. 31 indexed citations
19.
Peyrot, Nicolas, Jean‐Benoît Morin, David Thivel, et al.. (2010). Mechanical Work and Metabolic Cost of Walking after Weight Loss in Obese Adolescents. Medicine & Science in Sports & Exercise. 42(10). 1914–1922. 36 indexed citations
20.
Peyrot, Nicolas, David Thivel, Laurie Isacco, et al.. (2009). Do mechanical gait parameters explain the higher metabolic cost of walking in obese adolescents?. Journal of Applied Physiology. 106(6). 1763–1770. 77 indexed citations

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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