David Guiraud

3.2k citations
149 papers · 2.0k · h-index 23

Impact in

Papers in

David Guiraud

145 papers receiving 1.9k citations

Peers

David Guiraud
Comparison fields: 5 of 116
  • Cellular and Molecular Neuroscience 786
  • Cognitive Neuroscience 729
  • Neurology 222
  • Biomedical Engineering 1.2k
  • Rehabilitation 155
Replace Sanjeev D. Nandedkar with:
Sanjeev D. Nandedkar United States
William D. Memberg United States
Giacomo Valle Switzerland
Jacopo Carpaneto Italy
Staniša Raspopović Switzerland
Jayme S. Knutson United States
Ning Lan China
Eloy Opisso Spain
Vivian K. Mushahwar Canada
Sheng Li United States
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Citations per field
00.5×9.7×
Sanjeev D. Nandedkar · 1×
Citations per year

Countries citing papers authored by David Guiraud

Since Specialization
Citations

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

Fields of papers citing papers by David Guiraud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019192
2 2019181
3 200685
4 201167
5 201667
6 201460
7 200953
8 201951
9 202043
10 201339
11 200438
12 200935
13 201533
14 201432
15 201829
16 201129
17 201728
18 201828
19 201127
20 201627

About David Guiraud

David Guiraud is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and Surgery, having authored 149 papers that have together received 2.0k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (89 papers), Neuroscience and Neural Engineering (73 papers), EEG and Brain-Computer Interfaces (45 papers), Advanced Sensor and Energy Harvesting Materials (22 papers), Motor Control and Adaptation (12 papers), Spinal Cord Injury Research (10 papers), Transcranial Magnetic Stimulation Studies (10 papers) and Prosthetics and Rehabilitation Robotics (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (786 citations), Cognitive Neuroscience (729 citations), Neurology (222 citations), Biomedical Engineering (1.2k citations) and Rehabilitation (155 citations). David Guiraud has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Mitsuhiro Hayashibe, David Andreu, Charles Fattal, Philippe Poignet, Thomas Stieglitz, Christine Coste, Philippe Fraisse, Silvestro Micera, Francesco M. Petrini and Staniša Raspopović. Their work appears in journals such as Journal of Neural Engineering, Journal of NeuroEngineering and Rehabilitation, Sensors, IEEE Transactions on Neural Systems and Rehabilitation Engineering and npj Flexible Electronics.

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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