Matthieu Fruchard

42 total papers · 586 total citations
17 papers, 383 citations indexed

About

Matthieu Fruchard is a scholar working on Condensed Matter Physics, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Matthieu Fruchard has authored 17 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Condensed Matter Physics, 10 papers in Biomedical Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Matthieu Fruchard's work include Micro and Nano Robotics (11 papers), Molecular Communication and Nanonetworks (7 papers) and Cerebrospinal fluid and hydrocephalus (4 papers). Matthieu Fruchard is often cited by papers focused on Micro and Nano Robotics (11 papers), Molecular Communication and Nanonetworks (7 papers) and Cerebrospinal fluid and hydrocephalus (4 papers). Matthieu Fruchard collaborates with scholars based in France and United States. Matthieu Fruchard's co-authors include Antoine Ferreira, Laurent Arcese, Constantinos Mavroidis, Panagiotis Vartholomeos, Pascal Morin, Claude Samson, Estelle Courtial, Olivier Bernard, Jean‐Luc Gouzé and Guillaume Allibert and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Matthieu Fruchard

15 papers receiving 376 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthieu Fruchard 284 251 95 61 50 17 383
Samuel Charreyron 280 1.0× 312 1.2× 144 1.5× 18 0.3× 23 0.5× 13 420
Karim Belharet 289 1.0× 281 1.1× 137 1.4× 18 0.3× 17 0.3× 38 410
Benjamin Johnson 175 0.6× 180 0.7× 154 1.6× 31 0.5× 30 0.6× 25 377
Monroe Kennedy 252 0.9× 167 0.7× 145 1.5× 89 1.5× 50 1.0× 25 409
Daojing Lin 310 1.1× 248 1.0× 148 1.6× 29 0.5× 6 0.1× 16 409
Hyo-Jeong Cha 348 1.2× 180 0.7× 140 1.5× 51 0.8× 18 0.4× 17 403
Bo Hao 254 0.9× 214 0.9× 204 2.1× 37 0.6× 6 0.1× 23 404
Stefano Galvan 260 0.9× 24 0.1× 79 0.8× 53 0.9× 85 1.7× 20 425
Maura Power 282 1.0× 107 0.4× 112 1.2× 32 0.5× 14 0.3× 18 421
Changyan He 239 0.8× 35 0.1× 46 0.5× 43 0.7× 28 0.6× 39 365

Countries citing papers authored by Matthieu Fruchard

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Fruchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Fruchard

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Fruchard. A scholar is included among the top collaborators of Matthieu Fruchard 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 Matthieu Fruchard. Matthieu Fruchard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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