David Guiraud

3.2k total citations
147 papers, 1.9k citations indexed

About

David Guiraud is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, David Guiraud has authored 147 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Biomedical Engineering, 79 papers in Cellular and Molecular Neuroscience and 64 papers in Cognitive Neuroscience. Recurrent topics in David Guiraud's work include Muscle activation and electromyography studies (94 papers), Neuroscience and Neural Engineering (79 papers) and EEG and Brain-Computer Interfaces (53 papers). David Guiraud is often cited by papers focused on Muscle activation and electromyography studies (94 papers), Neuroscience and Neural Engineering (79 papers) and EEG and Brain-Computer Interfaces (53 papers). David Guiraud collaborates with scholars based in France, Germany and United States. David Guiraud's 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 and has published in prestigious journals such as Nature Medicine, PLoS ONE and Scientific Reports.

In The Last Decade

David Guiraud

144 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Guiraud France 22 1.2k 865 837 238 172 147 1.9k
Alberto Botter Italy 26 1.7k 1.4× 524 0.6× 796 1.0× 117 0.5× 204 1.2× 101 2.3k
Niloy Bhadra United States 26 913 0.7× 1.4k 1.6× 614 0.7× 513 2.2× 76 0.4× 54 2.0k
Natalie Mrachacz‐Kersting Denmark 27 1.2k 0.9× 1.1k 1.2× 2.1k 2.5× 496 2.1× 287 1.7× 105 2.7k
Taian Vieira Italy 25 1.8k 1.5× 342 0.4× 843 1.0× 108 0.5× 177 1.0× 113 2.4k
H.B.K. Boom Netherlands 31 1.6k 1.3× 772 0.9× 602 0.7× 382 1.6× 171 1.0× 106 2.7k
Silvia Muceli United Kingdom 27 2.3k 1.8× 1.1k 1.3× 1.6k 1.9× 110 0.5× 156 0.9× 61 2.8k
Marco Gazzoni Italy 25 1.7k 1.4× 520 0.6× 909 1.1× 72 0.3× 201 1.2× 76 2.2k
Xiaogang Hu United States 30 1.9k 1.6× 676 0.8× 1.4k 1.7× 142 0.6× 320 1.9× 132 2.4k
Tadashi Masuda Japan 32 1.3k 1.1× 551 0.6× 509 0.6× 244 1.0× 140 0.8× 116 2.9k
Aleš Holobar Slovenia 23 3.2k 2.6× 1.4k 1.7× 2.4k 2.8× 154 0.6× 147 0.9× 71 3.7k

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-authorship network of co-authors of David Guiraud

This figure shows the co-authorship network connecting the top 25 collaborators of David Guiraud. A scholar is included among the top collaborators of David Guiraud 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 David Guiraud. David Guiraud 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.
Čvančara, Paul, Giacomo Valle, Matthias Müller, et al.. (2023). Bringing sensation to prosthetic hands—chronic assessment of implanted thin-film electrodes in humans. npj Flexible Electronics. 7(1). 12 indexed citations
2.
Čvančara, Paul, Arthur Hiairrassary, David Andreu, et al.. (2021). New Stimulation Device to Drive Multiple Transverse Intrafascicular Electrodes and Achieve Highly Selective and Rich Neural Responses. Sensors. 21(21). 7219–7219. 4 indexed citations
3.
Coste, Christine, et al.. (2021). Sacral Anterior Root Stimulation and Visceral Function Outcomes in Spinal Cord Injury–A Systematic Review of the Literature Over Four Decades. World Neurosurgery. 157. 218–232.e14. 13 indexed citations
4.
Čvančara, Paul, Tim Boretius, Paweł Maciejasz, et al.. (2020). Stability of flexible thin-film metallization stimulation electrodes: analysis of explants after first-in-human study and improvement of in vivo performance. Journal of Neural Engineering. 17(4). 46006–46006. 39 indexed citations
5.
Petrini, Francesco M., Marko Bumbaširević, Giacomo Valle, et al.. (2019). Sensory feedback restoration in leg amputees improves walking speed, metabolic cost and phantom pain. Nature Medicine. 25(9). 1356–1363. 172 indexed citations
6.
Petrini, Francesco M., Giacomo Valle, Marko Bumbaširević, et al.. (2019). Enhancing functional abilities and cognitive integration of the lower limb prosthesis. Science Translational Medicine. 11(512). 186 indexed citations
7.
Strauss, Ivo, Giacomo Valle, Fiorenzo Artoni, et al.. (2019). Characterization of multi-channel intraneural stimulation in transradial amputees. Scientific Reports. 9(1). 19258–19258. 50 indexed citations
8.
9.
Guiraud, David, David Andreu, Stéphane Bonnet, et al.. (2016). Vagus nerve stimulation: state of the art of stimulation and recording strategies to address autonomic function neuromodulation. Journal of Neural Engineering. 13(4). 41002–41002. 67 indexed citations
10.
Guiraud, David, David Andreu, Bertrand Coulet, et al.. (2016). Exploring selective neural electrical stimulation for upper limb function restoration. European Journal of Translational Myology. 26(2). 6035–6035. 6 indexed citations
11.
Benoussaad, Mourad, Philippe Poignet, Mitsuhiro Hayashibe, et al.. (2013). Experimental parameter identification of a multi-scale musculoskeletal model controlled by electrical stimulation: application to patients with spinal cord injury. Medical & Biological Engineering & Computing. 51(6). 617–631. 7 indexed citations
12.
Maciejasz, Paweł, Christine Coste, David Andreu, & David Guiraud. (2011). Investigation of Fibre Size Stimulation Selectivity Using Earthworm Model. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
13.
Guiraud, David. (2011). Interfacing the neural system to restore deficient functions: From theoretical studies to neuroprothesis design. Comptes Rendus Biologies. 335(1). 1–8. 3 indexed citations
14.
15.
Bernard, Serge, et al.. (2009). An optimized layout for multipolar neural recording electrode. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
16.
Andreu, David, et al.. (2009). A distributed architecture for activating the peripheral nervous system. Journal of Neural Engineering. 6(2). 26001–26001. 53 indexed citations
17.
Hayashibe, Mitsuhiro, David Guiraud, & Philippe Poignet. (2009). EMG-based neuromuscular modeling with full physiological dynamics and its comparison with modified hill model. PubMed. 17. 6530–6533. 10 indexed citations
18.
Ramdani, Nacim, et al.. (2009). A method for paraplegic upper-body posture estimation during standing: a pilot study for rehabilitation purposes. Medical & Biological Engineering & Computing. 47(6). 625–633. 1 indexed citations
19.
Andreu, David, et al.. (2008). Petri nets based methodology for communicating neuroprosthesis design and prototyping. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
20.
Andreu, David, et al.. (2007). Intrabody Network for Advanced and Efficient Functional Electrical Stimulation. HAL (Le Centre pour la Communication Scientifique Directe). 6 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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