Benoît Charlot

2.4k total citations
70 papers, 1.6k citations indexed

About

Benoît Charlot is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Benoît Charlot has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 31 papers in Biomedical Engineering and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Benoît Charlot's work include Advanced MEMS and NEMS Technologies (17 papers), Neuroscience and Neural Engineering (11 papers) and Advanced Sensor and Energy Harvesting Materials (9 papers). Benoît Charlot is often cited by papers focused on Advanced MEMS and NEMS Technologies (17 papers), Neuroscience and Neural Engineering (11 papers) and Advanced Sensor and Energy Harvesting Materials (9 papers). Benoît Charlot collaborates with scholars based in France, Japan and Germany. Benoît Charlot's co-authors include Gilles Tessier, Lionel Aigouy, Michel Mortier, Maxime Cazorla, Frédéric Saudou, Aurélie Genoux, Salvador Mir, Philippe Combette, Alain Giani and Hiroshi Toshiyoshi and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Journal of The Electrochemical Society.

In The Last Decade

Benoît Charlot

66 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benoît Charlot France	21	774	610	312	288	280	70	1.6k
Ursula van Rienen Germany	23	734 0.9×	536 0.9×	309 1.0×	159 0.6×	421 1.5×	221	2.0k
Dong Wu China	19	838 1.1×	1.3k 2.1×	281 0.9×	265 0.9×	262 0.9×	78	2.4k
King Wai Chiu Lai Hong Kong	26	1.2k 1.5×	730 1.2×	488 1.6×	705 2.4×	161 0.6×	194	2.4k
Rafael Taboryski Denmark	28	969 1.3×	481 0.8×	475 1.5×	230 0.8×	179 0.6×	119	2.1k
J. Gaspar Portugal	26	969 1.3×	1.1k 1.8×	573 1.8×	482 1.7×	117 0.4×	158	2.1k
Hanseup Kim United States	19	1.2k 1.5×	821 1.3×	137 0.4×	146 0.5×	191 0.7×	106	1.9k
Hidekuni Takao Japan	24	1.1k 1.4×	1.2k 1.9×	298 1.0×	139 0.5×	196 0.7×	216	1.9k
Jaeyoun Kim United States	19	1.4k 1.8×	911 1.5×	399 1.3×	276 1.0×	65 0.2×	54	2.2k
Amit Lal United States	22	1.2k 1.5×	1.2k 1.9×	519 1.7×	554 1.9×	165 0.6×	281	2.5k
Min Seok Kim South Korea	20	627 0.8×	771 1.3×	210 0.7×	248 0.9×	210 0.8×	121	1.9k

Countries citing papers authored by Benoît Charlot

Since Specialization

Citations

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

Fields of papers citing papers by Benoît Charlot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Charlot

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Aroso, Miguel, et al.. (2025). Influence of asymmetric microchannels in the structure and function of engineered neuronal circuits. Biofabrication. 17(2). 25022–25022. 1 indexed citations

Ferreira, Maria João, Alain Lacampagne, Jean‐Luc Pasquié, et al.. (2025). Advancing organ-on-chip systems: the role of microfluidics in neuro-cardiac research. PubMed. 9. 100227–100227.

Charlot, Benoît, et al.. (2024). Organotypic culture of human brain explants as a preclinical model for AI-driven antiviral studies. EMBO Molecular Medicine. 16(4). 1004–1026. 6 indexed citations

Anfar, Zakaria, Sylvie Calas-Etienne, Pascal Etienne, et al.. (2024). Activation of patternable ceramics for hydrogen evolution reaction using molybdenum-based fillers. New Journal of Chemistry. 49(3). 712–720.

Gaudin, Raphaël, et al.. (2023). Protruding cantilever microelectrode array to monitor the inner electrical activity of cerebral organoids. Lab on a Chip. 23(16). 3603–3614. 15 indexed citations

Charlot, Benoît, et al.. (2022). Bioimpedance single cell sensing of low and high density sickle erythrocytes using microfluidics. Biosensors and Bioelectronics X. 10. 100140–100140. 2 indexed citations

Dahiya, Abhishek Singh, Jérôme Thireau, Jamila Boudaden, et al.. (2019). Review—Energy Autonomous Wearable Sensors for Smart Healthcare: A Review. Journal of The Electrochemical Society. 167(3). 37516–37516. 77 indexed citations

Fenech, Marianne, et al.. (2019). Microfluidic blood vasculature replicas using backside lithography. Lab on a Chip. 19(12). 2096–2106. 56 indexed citations

Charlot, Benoît, et al.. (2019). Microfluidic surface-enhanced infrared spectroscopy with semiconductor plasmonics for the fingerprint region. Reaction Chemistry & Engineering. 5(1). 124–135. 12 indexed citations

10.

Gómez, Andrés, et al.. (2019). Tailoring the crystal growth of quartz on silicon for patterning epitaxial piezoelectric films. Nanoscale Advances. 1(9). 3741–3752. 16 indexed citations

11.

Scaramuzzino, Chiara, et al.. (2018). Neuronal network maturation differently affects secretory vesicles and mitochondria transport in axons. Scientific Reports. 8(1). 13429–13429. 45 indexed citations

12.

Charlot, Benoît, et al.. (2018). An integrated microfluidic/microelectrode array for the study of activity-dependent intracellular dynamics in neuronal networks. Lab on a Chip. 18(22). 3425–3435. 74 indexed citations

13.

Weiss, Julien, Emmanuel Jondeau, Alain Giani, Benoît Charlot, & Philippe Combette. (2017). Static and dynamic calibration of a MEMS calorimetric shear-stress sensor. Sensors and Actuators A Physical. 265. 211–216. 18 indexed citations

14.

González‐Posada, F., L. Cerutti, Benoît Charlot, et al.. (2017). Surface-enhanced infrared absorption with Si-doped InAsSb/GaSb nano-antennas. Optics Express. 25(22). 26651–26651. 14 indexed citations

15.

Charlot, Benoît, et al.. (2015). Symposium on Design, Test, Integration & Packaging of MEMS/MOEMS (DTIP 2015). SPIRE - Sciences Po Institutional REpository. 9 indexed citations

16.

Baldé, Mamadou, Fabien Bibi, Benoît Charlot, Philippe Combette, & Brice Sorli. (2013). Growth and characterization of anodized aluminum oxide thin film on paper-based substrate. 1–5. 1 indexed citations

17.

Baldé, Mamadou, et al.. (2012). Microelectronic technology on paper substrate. 140–143. 1 indexed citations

18.

Despesse, Ghislain, et al.. (2005). Fabrication and characterization of high damping electrostatic micro devices for vibration energy scavenging. SPIRE - Sciences Po Institutional REpository. 5 indexed citations

19.

Nicolescu, Gabriela, et al.. (2002). Application of Multi-domain and Multi-language Cosimulation To an Optical MEM Switch Design. Asia and South Pacific Design Automation Conference. 426–431. 2 indexed citations

20.

Charlot, Benoît. (1979). Dis-moi ce que tu comprends, je te dirai ce que tu es. Apprentissage, pouvoir et rapport au savoir. 5–21. 1 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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