Benoît Mariani

1.8k total citations
24 papers, 1.4k citations indexed

About

Benoît Mariani is a scholar working on Endocrinology, Diabetes and Metabolism, Physical Therapy, Sports Therapy and Rehabilitation and Biomedical Engineering. According to data from OpenAlex, Benoît Mariani has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Physical Therapy, Sports Therapy and Rehabilitation and 12 papers in Biomedical Engineering. Recurrent topics in Benoît Mariani's work include Diabetic Foot Ulcer Assessment and Management (13 papers), Balance, Gait, and Falls Prevention (13 papers) and Lower Extremity Biomechanics and Pathologies (8 papers). Benoît Mariani is often cited by papers focused on Diabetic Foot Ulcer Assessment and Management (13 papers), Balance, Gait, and Falls Prevention (13 papers) and Lower Extremity Biomechanics and Pathologies (8 papers). Benoît Mariani collaborates with scholars based in Switzerland, France and Norway. Benoît Mariani's co-authors include Kamiar Aminian, Christophe Büla, Stéphane Rochat, François Vingerhoets, Mayté Castro Jiménez, Xavier Crevoisier, Hossein Rouhani, Julien Penders, C. Hoskovec and Farzin Dadashi and has published in prestigious journals such as Journal of Biomechanics, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Benoît Mariani

23 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Mariani Switzerland 15 785 707 439 247 198 24 1.4k
Donna Moxley Scarborough United States 17 648 0.8× 539 0.8× 221 0.5× 257 1.0× 174 0.9× 38 1.6k
Alberto Ferrari Italy 16 640 0.8× 592 0.8× 204 0.5× 303 1.2× 206 1.0× 47 1.4k
Y. Blanc Switzerland 12 683 0.9× 670 0.9× 240 0.5× 253 1.0× 252 1.3× 30 1.4k
Sandro Fioretti Italy 26 1.2k 1.5× 511 0.7× 139 0.3× 277 1.1× 243 1.2× 175 2.1k
Pietro Picerno Italy 15 626 0.8× 411 0.6× 151 0.3× 129 0.5× 364 1.8× 45 1.3k
Anisoara Paraschiv-Ionescu Switzerland 21 696 0.9× 553 0.8× 162 0.4× 239 1.0× 77 0.4× 53 1.7k
Rachid Aïssaoui Canada 22 907 1.2× 408 0.6× 178 0.4× 273 1.1× 311 1.6× 108 1.8k
Clint Hansen Germany 23 564 0.7× 722 1.0× 133 0.3× 409 1.7× 365 1.8× 142 1.9k
Elena Bergamini Italy 22 652 0.8× 466 0.7× 82 0.2× 204 0.8× 497 2.5× 64 1.6k
James G. Richards United States 20 1.1k 1.4× 729 1.0× 283 0.6× 466 1.9× 794 4.0× 58 2.5k

Countries citing papers authored by Benoît Mariani

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Mariani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Mariani

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Mariani. A scholar is included among the top collaborators of Benoît Mariani 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 Benoît Mariani. Benoît Mariani 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.
2.
Kayser, Bengt & Benoît Mariani. (2022). Exceptional Performance in Competitive Ski Mountaineering: An Inertial Sensor Case Study. Frontiers in Sports and Active Living. 4. 854614–854614. 7 indexed citations
3.
Atrsaei, Arash, Farzin Dadashi, Nuno Vila‐Chã, et al.. (2021). Gait speed in clinical and daily living assessments in Parkinson’s disease patients: performance versus capacity. npj Parkinson s Disease. 7(1). 24–24. 49 indexed citations
4.
Meyer, Frédéric, et al.. (2021). Continuous Analysis of Marathon Running Using Inertial Sensors: Hitting Two Walls?. International Journal of Sports Medicine. 42(13). 1182–1190. 15 indexed citations
5.
Atrsaei, Arash, Farzin Dadashi, Clint Hansen, et al.. (2020). Postural transitions detection and characterization in healthy and patient populations using a single waist sensor. Journal of NeuroEngineering and Rehabilitation. 17(1). 70–70. 23 indexed citations
6.
Meyer, Frédéric, et al.. (2020). Drift-Free Foot Orientation Estimation in Running Using Wearable IMU. Frontiers in Bioengineering and Biotechnology. 8. 65–65. 26 indexed citations
7.
Willis, Sarah J., et al.. (2019). Level Versus Uphill Economy and Mechanical Responses in Elite Ultratrail Runners. International Journal of Sports Physiology and Performance. 14(7). 1001–1005. 15 indexed citations
8.
Dadashi, Farzin, et al.. (2018). In-Field Validation of an Inertial Sensor-Based System for Movement Analysis and Classification in Ski Mountaineering. Sensors. 18(3). 885–885. 12 indexed citations
9.
Muñiz-Pardos, Borja, et al.. (2018). Integration of Wearable Sensors Into the Evaluation of Running Economy and Foot Mechanics in Elite Runners. Current Sports Medicine Reports. 17(12). 480–488. 21 indexed citations
10.
Meyer, Frédéric, et al.. (2018). Accurate Estimation of Running Temporal Parameters Using Foot-Worn Inertial Sensors. Frontiers in Physiology. 9. 610–610. 78 indexed citations
11.
Meyer, Frédéric, et al.. (2017). CONTACT TIME AND FOOT STRIKE ANGLES ESTIMATION USING FOOT WORN INERTIAL SENSORS IN RUNNING. ISBS Proceedings Archive. 35(1). 213. 3 indexed citations
12.
Mariani, Benoît, Mayté Castro Jiménez, François Vingerhoets, & Kamiar Aminian. (2013). On-Shoe Wearable Sensors for Gait and Turning Assessment of Patients With Parkinson's Disease. IEEE Transactions on Biomedical Engineering. 60(1). 155–158. 210 indexed citations
13.
Mariani, Benoît, et al.. (2013). Spatio-temporal gait analysis in children with cerebral palsy using, foot-worn inertial sensors. Gait & Posture. 39(1). 436–442. 78 indexed citations
14.
Newman, Christopher J., et al.. (2013). 3D gait assessment in children with cerebral palsy using foot-worn inertial sensors. Gait & Posture. 38. S63–S64. 1 indexed citations
15.
Mariani, Benoît, Shékina Rochat, Christophe Büla, & Kamiar Aminian. (2012). Heel and Toe Clearance Estimation for Gait Analysis Using Wireless Inertial Sensors. IEEE Transactions on Biomedical Engineering. 59(11). 3162–3168. 140 indexed citations
16.
Mariani, Benoît, Hossein Rouhani, Xavier Crevoisier, & Kamiar Aminian. (2012). Quantitative estimation of foot-flat and stance phase of gait using foot-worn inertial sensors. Gait & Posture. 37(2). 229–234. 203 indexed citations
17.
Mariani, Benoît. (2012). Assessment of Foot Signature Using Wearable Sensors for Clinical Gait Analysis and Real-Time Activity Recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 9 indexed citations
18.
Aminian, Kamiar, Benoît Mariani, Anisoara Paraschiv-Ionescu, et al.. (2011). Foot worn inertial sensors for gait assessment and rehabilitation based on motorized shoes. PubMed. 2011. 5820–5823. 9 indexed citations
19.
Mariani, Benoît, C. Hoskovec, Stéphane Rochat, et al.. (2010). 3D gait assessment in young and elderly subjects using foot-worn inertial sensors. Journal of Biomechanics. 43(15). 2999–3006. 287 indexed citations
20.
Molengraft, Jef van de, et al.. (2009). Wireless 6D inertial measurement platform for ambulatory gait monitoring. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 63–64. 4 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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