Sylvie Renaud

3.3k total citations · 1 hit paper
58 papers, 2.2k citations indexed

About

Sylvie Renaud is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Sylvie Renaud has authored 58 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cellular and Molecular Neuroscience, 24 papers in Cognitive Neuroscience and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Sylvie Renaud's work include Neuroscience and Neural Engineering (29 papers), Neural dynamics and brain function (18 papers) and Advanced Memory and Neural Computing (16 papers). Sylvie Renaud is often cited by papers focused on Neuroscience and Neural Engineering (29 papers), Neural dynamics and brain function (18 papers) and Advanced Memory and Neural Computing (16 papers). Sylvie Renaud collaborates with scholars based in France, United States and Switzerland. Sylvie Renaud's co-authors include Sylvain Saïghi, Yingxue Wang, Teresa Serrano‐Gotarredona, André van Schaik, Gert Cauwenberghs, Fopefolu Folowosele, Johannes Schemmel, Philipp Häfliger, Giacomo Indiveri and B. Linares-Barranco and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and The Journal of Physiology.

In The Last Decade

Sylvie Renaud

58 papers receiving 2.1k citations

Hit Papers

Neuromorphic Silicon Neuron Circuits 2011 2026 2016 2021 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvie Renaud France 18 1.3k 1.0k 953 345 249 58 2.2k
Philipp Häfliger Norway 17 1.8k 1.4× 961 1.0× 975 1.0× 343 1.0× 285 1.1× 70 2.3k
Alberto Mazzoni Italy 27 401 0.3× 2.0k 2.0× 1.6k 1.7× 80 0.2× 917 3.7× 115 3.0k
Justin C. Sanchez United States 29 631 0.5× 1.8k 1.8× 1.8k 1.9× 159 0.5× 574 2.3× 121 2.9k
Tara Julia Hamilton Australia 22 1.9k 1.4× 1.4k 1.4× 1.0k 1.1× 576 1.7× 481 1.9× 114 2.8k
Lionel G. Nowak France 24 343 0.3× 2.7k 2.7× 2.2k 2.3× 50 0.1× 170 0.7× 41 3.5k
Thomas M. McKenna United States 26 111 0.1× 1.1k 1.1× 826 0.9× 129 0.4× 255 1.0× 78 2.5k
Ho Ko Hong Kong 24 309 0.2× 1.8k 1.8× 1.7k 1.8× 75 0.2× 435 1.7× 63 3.4k
Yasuhiko Jimbo Japan 26 599 0.5× 1.6k 1.6× 2.2k 2.4× 72 0.2× 646 2.6× 186 2.9k
Chung‐Chuan Lo Taiwan 21 1.0k 0.8× 983 1.0× 472 0.5× 236 0.7× 116 0.5× 76 2.4k
Brian Murphy United States 22 205 0.2× 1.2k 1.2× 612 0.6× 459 1.3× 367 1.5× 77 2.1k

Countries citing papers authored by Sylvie Renaud

Since Specialization
Citations

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

Fields of papers citing papers by Sylvie Renaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvie Renaud

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvie Renaud. A scholar is included among the top collaborators of Sylvie Renaud 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 Sylvie Renaud. Sylvie Renaud 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.
Gaitan, Julien, et al.. (2025). A microfluidic twin islets-on-chip device for on-line electrophysiological monitoring. Lab on a Chip. 25(7). 1831–1841. 1 indexed citations
2.
Raoux, Matthieu, Sandrine Lablanche, Pierre‐Yves Benhamou, et al.. (2023). Islets-on-Chip: A Tool for Real-Time Assessment of Islet Function Prior to Transplantation. Transplant International. 36. 11512–11512. 5 indexed citations
3.
Gannes, F. Poulletier de, et al.. (2022). Bioimpedance Spectroscopy Helps Monitor the Impact of Electrical Stimulation on Muscle Cells. IEEE Access. 10. 131430–131441. 4 indexed citations
4.
Ríos, Héctor, Alejandra Ferreira de Loza, Julien Gaitan, et al.. (2022). Towards the Integration of an Islet-Based Biosensor in Closed-Loop Therapies for Patients With Type 1 Diabetes. Frontiers in Endocrinology. 13. 795225–795225. 7 indexed citations
5.
Bornat, Yannick, et al.. (2021). IC-Based Neuro-Stimulation Environment for Arbitrary Waveform Generation. Electronics. 10(15). 1867–1867. 5 indexed citations
6.
Abbas, James J., et al.. (2020). Autonomous control of ventilation through closed-loop adaptive respiratory pacing. Scientific Reports. 10(1). 21903–21903. 7 indexed citations
7.
Bornat, Yannick, et al.. (2020). Tuning of an Artificial Pancreas Controller: an in silico methodology based on clinically-relevant criteria. PubMed. 2020. 2544–2547. 5 indexed citations
8.
Tibar, Houyam, et al.. (2019). In vivo validation of a new portable stimulator for chronic deep brain stimulation in freely moving rats. Journal of Neuroscience Methods. 333. 108577–108577. 7 indexed citations
9.
Perrier, Romain, Julien Gaitan, Bogdan Catargi, et al.. (2018). Bioelectronic organ-based sensor for microfluidic real-time analysis of the demand in insulin. Biosensors and Bioelectronics. 117. 253–259. 37 indexed citations
10.
Koutsouras, Dimitrios A., Romain Perrier, Eileen Pedraza, et al.. (2017). Simultaneous monitoring of single cell and of micro-organ activity by PEDOT:PSS covered multi-electrode arrays. Materials Science and Engineering C. 81. 84–89. 30 indexed citations
11.
Bornat, Yannick, et al.. (2016). Bio-Inspired Controller on an FPGA Applied to Closed-Loop Diaphragmatic Stimulation. Frontiers in Neuroscience. 10. 275–275. 15 indexed citations
12.
Lebreton, Fanny, Domenico Bosco, Thierry Berney, et al.. (2015). Slow potentials encode intercellular coupling and insulin demand in pancreatic beta cells. Diabetologia. 58(6). 1291–1299. 35 indexed citations
13.
Renaud, Sylvie, Bogdan Catargi, & Jochen Lang. (2014). Biosensors in Diabetes. 1 indexed citations
14.
Quotb, Adam, Yannick Bornat, & Sylvie Renaud. (2011). Wavelet Transform for Real-Time Detection of Action Potentials in Neural Signals. PubMed. 4. 7–7. 21 indexed citations
15.
Raoux, Matthieu, Yannick Bornat, Adam Quotb, et al.. (2011). Non‐invasive long‐term and real‐time analysis of endocrine cells on micro‐electrode arrays. The Journal of Physiology. 590(5). 1085–1091. 29 indexed citations
16.
Chen, Hsin, Sylvain Saïghi, Laure Buhry, & Sylvie Renaud. (2010). Real-Time Simulation of Biologically Realistic Stochastic Neurons in VLSI. IEEE Transactions on Neural Networks. 21(9). 1511–1517. 32 indexed citations
17.
Renaud, Sylvie, Jean Tomas, Noëlle Lewis, et al.. (2010). PAX: A mixed hardware/software simulation platform for spiking neural networks. Neural Networks. 23(7). 905–916. 14 indexed citations
18.
Renaud, Sylvie, et al.. (2007). A Real-Time Closed-Loop Setup for Hybrid Neural Networks. Conference proceedings. 5. 3004–3007. 19 indexed citations
19.
Masson, Gwendal Le, et al.. (2002). Feedback inhibition controls spike transfer in hybrid thalamic circuits. Nature. 417(6891). 854–858. 150 indexed citations
20.
Renaud, Sylvie & Lynn M. McGregor. (1980). Acides gras essentiels et membrane plaquettaire en relation avec l'agrégation.. 34(2). 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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