Jacques Prioux

1.5k total citations
75 papers, 1.1k citations indexed

About

Jacques Prioux is a scholar working on Orthopedics and Sports Medicine, Complementary and alternative medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jacques Prioux has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Orthopedics and Sports Medicine, 28 papers in Complementary and alternative medicine and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jacques Prioux's work include Sports Performance and Training (40 papers), Cardiovascular and exercise physiology (28 papers) and Sports injuries and prevention (17 papers). Jacques Prioux is often cited by papers focused on Sports Performance and Training (40 papers), Cardiovascular and exercise physiology (28 papers) and Sports injuries and prevention (17 papers). Jacques Prioux collaborates with scholars based in France, Tunisia and China. Jacques Prioux's co-authors include Hassane Zouhal, Delphine Thévenet, Arlette Gratas‐Delamarche, Paul Delamarche, Christian Préfaut, Abderraouf Ben Abderrahman, Jean Ayoub, Serge Berthoin, Christophe Jacob and Michèle Ramonatxo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physiology.

In The Last Decade

Jacques Prioux

68 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacques Prioux France 19 557 370 275 219 198 75 1.1k
Kai Röecker Germany 22 511 0.9× 406 1.1× 207 0.8× 195 0.9× 203 1.0× 61 1.2k
Jan Boone Belgium 25 1.1k 1.9× 797 2.2× 194 0.7× 358 1.6× 393 2.0× 95 1.8k
James D. George United States 18 495 0.9× 549 1.5× 95 0.3× 146 0.7× 279 1.4× 50 1.1k
Joel T. Fuller Australia 22 949 1.7× 275 0.7× 96 0.3× 637 2.9× 274 1.4× 80 1.5k
Alejandro Martínez‐Cava Spain 18 660 1.2× 283 0.8× 86 0.3× 316 1.4× 109 0.6× 39 1.3k
Les Ansley United Kingdom 23 573 1.0× 376 1.0× 416 1.5× 222 1.0× 136 0.7× 42 1.5k
Barry W. Scheuermann United States 23 717 1.3× 905 2.4× 220 0.8× 316 1.4× 639 3.2× 55 1.5k
H.-H. Dickhuth Germany 17 499 0.9× 220 0.6× 68 0.2× 182 0.8× 275 1.4× 50 1.1k
Filippo Tocco Italy 22 287 0.5× 792 2.1× 115 0.4× 215 1.0× 699 3.5× 65 1.4k
Dennis‐Peter Born Switzerland 19 698 1.3× 284 0.8× 75 0.3× 178 0.8× 97 0.5× 67 1.1k

Countries citing papers authored by Jacques Prioux

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Prioux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Prioux

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Prioux. A scholar is included among the top collaborators of Jacques Prioux 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 Jacques Prioux. Jacques Prioux 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.
Étienne, Marie‐Pierre, et al.. (2025). Accounting for relative age effect in sports performance assessment: Developing age-adjusted performance corridors using mixed models. Journal of Sports Sciences. 43(9). 875–886.
3.
Candau, Robin, et al.. (2024). Quantification of workload and characterisation of key performance factors in elite adolescent female volleyball players using machine learning. International Journal of Performance Analysis in Sport. 25(4). 610–626.
4.
5.
Li, Shichang, et al.. (2024). Position-specific workload of professional rugby union players during tactical periodization training. PLoS ONE. 19(3). e0288345–e0288345.
7.
Prioux, Jacques, et al.. (2023). Energy Expenditure Estimation From Respiratory Magnetometer Plethysmography: A Comparison Study. IEEE Journal of Biomedical and Health Informatics. 27(5). 2345–2352. 1 indexed citations
8.
Prioux, Jacques, et al.. (2022). Synthetized inertial measurement units (IMUs) to evaluate the placement of wearable sensors on human body for motion recognition. The Journal of Engineering. 2022(5). 536–543. 7 indexed citations
9.
Rhibi, Fatma, Abderraouf Ben Abderrahman, Jacques Prioux, et al.. (2022). Effects of different training intensities in high-intensity interval training (HIIT) on maximal aerobic velocity, hematological and muscle-damage markers in healthy young adults. BMC Sports Science Medicine and Rehabilitation. 14(1). 158–158. 2 indexed citations
11.
Yin, Xiaojian, et al.. (2021). Ventilatory responses at submaximal exercise intensities in healthy children and adolescents during the growth spurt period: a semi-longitudinal study. European Journal of Applied Physiology. 121(11). 3211–3223. 3 indexed citations
12.
Bru, Noëlle, et al.. (2020). Rugby game performances and weekly workload: Using of data mining process to enter in the complexity. PLoS ONE. 15(1). e0228107–e0228107. 7 indexed citations
13.
Khawaja, Anthony P., et al.. (2019). The Relationships Between Skeletal Muscle Index and Bone Variables in a Group of Young Adults. Journal of Clinical Densitometry. 24(1). 78–87. 15 indexed citations
14.
Emily, Mathieu, et al.. (2017). Using GPS, accelerometry and heart rate to predict outdoor graded walking energy expenditure. Journal of science and medicine in sport. 21(2). 166–172. 7 indexed citations
15.
Faucheur, Alexis Le, et al.. (2017). Estimation of respiratory volume from thoracoabdominal breathing distances: comparison of two models of machine learning. European Journal of Applied Physiology. 117(8). 1533–1555. 15 indexed citations
16.
Prioux, Jacques, et al.. (2010). A COMPARISON BETWEEN VENTILATION AND HEART RATE AS INDICATOR OF OXYGEN UPTAKE DURING DIFFERENT INTENSITIES OF EXERCISE. SHILAP Revista de lepidopterología. 18 indexed citations
17.
Thévenet, Delphine, et al.. (2008). Influence of recovery intensity on time spent at maximal oxygen uptake during an intermittent session in young, endurance-trained athletes. Journal of Sports Sciences. 26(12). 1313–1321. 16 indexed citations
18.
Thévenet, Delphine, et al.. (2007). Influence of exercise intensity on time spent at high percentage of maximal oxygen uptake during an intermittent session in young endurance-trained athletes. European Journal of Applied Physiology. 102(1). 19–26. 43 indexed citations
19.
Thévenet, Delphine, et al.. (2004). Effects of active recovery between series on performance during an intermittent exercise model in young endurance athletes. European Journal of Applied Physiology. 93(1-2). 145–152. 20 indexed citations
20.
Prioux, Jacques, Michèle Ramonatxo, Maurice Hayot, Patrick Mucci, & Christian Préfaut. (2000). Effect of ageing on the ventilatory response and lactate kinetics during incremental exercise in man. PubMed. 81(1-2). 100–107. 28 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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