F. Ayachi

12 papers receiving 294 citations

Peers

F. Ayachi
Comparison fields: 5 of 72
  • Physical Therapy, Sports Therapy and Rehabilitation 41
  • Transportation 32
  • Orthopedics and Sports Medicine 34
  • Cognitive Neuroscience 71
  • Biomedical Engineering 138
Replace Jin‐Seung Choi with:
Jin‐Seung Choi South Korea
Ali Maleki Iran
Martin Ullrich Germany
Christian T. Haas Germany
K. Hase Japan
Muhammad Raheel Afzal South Korea
Stéphane Vieilledent France
J.H. Buurke Netherlands
Sabine Mangold Switzerland
Emily H. Sinitski Canada
F. Ayachi relative to Jin‐Seung Choi South Korea Jin‐Seung Choi's profile →
Citations per field
00.5×1.5×2.1×
Jin‐Seung Choi · 1×
Citations per year

Countries citing papers authored by F. Ayachi

Since Specialization
Citations

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

Fields of papers citing papers by F. Ayachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside F. Ayachi, 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 F. Ayachi Line = papers co-authored together F. Ayachi links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201468
2 201545
3 201633
4 201433
5 201631
6 201629
7 201621
8 201714
9 201712
10 20185
11 20105
12 19971
13 20150

About F. Ayachi

F. Ayachi is a scholar working on Biomedical Engineering, Neurology, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 297 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (4 papers), Context-Aware Activity Recognition Systems (3 papers), EEG and Brain-Computer Interfaces (3 papers), Neuroscience and Neural Engineering (2 papers), Neurological disorders and treatments (2 papers), Motor Control and Adaptation (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Effects of Vibration on Health (2 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (41 citations), Transportation (32 citations), Orthopedics and Sports Medicine (34 citations), Cognitive Neuroscience (71 citations) and Biomedical Engineering (138 citations). F. Ayachi has collaborated with scholars based in Canada, France and Iran. Frequent co-authors include Sofiane Boudaoud, Catherine Guastavino, Hung Nguyen, Christian Duval, Patrick Boissy, Catherine Marque, Jérémy Laforêt, Fariborz Rahimi, Mandar Jog and D. Gamet. Their work appears in journals such as Journal of NeuroEngineering and Rehabilitation, Human Factors The Journal of the Human Factors and Ergonomics Society, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Physiological Measurement and Applied Ergonomics.

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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