Jean Tomas

1.5k total citations · 1 hit paper
37 papers, 951 citations indexed

About

Jean Tomas is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Jean Tomas has authored 37 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 15 papers in Cellular and Molecular Neuroscience and 14 papers in Cognitive Neuroscience. Recurrent topics in Jean Tomas's work include Advanced Memory and Neural Computing (19 papers), Neural dynamics and brain function (14 papers) and Neuroscience and Neural Engineering (14 papers). Jean Tomas is often cited by papers focused on Advanced Memory and Neural Computing (19 papers), Neural dynamics and brain function (14 papers) and Neuroscience and Neural Engineering (14 papers). Jean Tomas collaborates with scholars based in France, Tunisia and Switzerland. Jean Tomas's co-authors include Sylvain Saïghi, Sören Boyn, Gwendal Lecerf, Julie Grollier, Stéphanie Girod, Sylvie Renaud, K. Garcia, A. Barthélémy, Bin Xu and Laurent Bellaiche and has published in prestigious journals such as Nature Communications, IEEE Access and Information Sciences.

In The Last Decade

Jean Tomas

33 papers receiving 925 citations

Hit Papers

Learning through ferroelectric domain dynamics in solid-s... 2017 2026 2020 2023 2017 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning through ferroelectric domain dynamics in solid-state synapses
    2017 476 citations Sören Boyn, Julie Grollier et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean Tomas France 12 850 371 276 163 136 37 951
T. Hussain United States 12 1.0k 1.2× 372 1.0× 138 0.5× 119 0.7× 80 0.6× 42 1.1k
Udayan Ganguly India 22 1.8k 2.1× 331 0.9× 201 0.7× 335 2.1× 202 1.5× 191 1.9k
Mireia Bargalló González Spain 22 1.6k 1.9× 479 1.3× 117 0.4× 224 1.4× 56 0.4× 167 1.6k
Alessandro Calderoni Italy 23 1.7k 2.0× 587 1.6× 289 1.0× 292 1.8× 181 1.3× 51 1.8k
Masatoshi Ishii Japan 17 1.3k 1.5× 320 0.9× 155 0.6× 542 3.3× 251 1.8× 50 1.6k
Spyros Stathopoulos United Kingdom 14 863 1.0× 392 1.1× 127 0.5× 107 0.7× 81 0.6× 59 946
Elia Ambrosi Italy 17 1.3k 1.6× 547 1.5× 209 0.8× 215 1.3× 164 1.2× 34 1.4k
Alessandro Bricalli Italy 17 1.3k 1.5× 519 1.4× 201 0.7× 192 1.2× 178 1.3× 32 1.4k
Alessandro Fumarola Switzerland 10 1.0k 1.2× 328 0.9× 164 0.6× 158 1.0× 226 1.7× 11 1.1k
Bingjie Dang China 17 1.1k 1.3× 371 1.0× 226 0.8× 201 1.2× 347 2.6× 33 1.2k

Countries citing papers authored by Jean Tomas

Since Specialization
Citations

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

Fields of papers citing papers by Jean Tomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Tomas

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Tomas. A scholar is included among the top collaborators of Jean Tomas 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 Jean Tomas. Jean Tomas 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.
2.
Vincent, Adrien F., et al.. (2020). Toward Hardware Spiking Neural Networks with Mixed-Signal Event-Based Learning Rules. SPIRE - Sciences Po Institutional REpository. 554. 1–8. 2 indexed citations
3.
Boyn, Sören, Julie Grollier, Gwendal Lecerf, et al.. (2017). Learning through ferroelectric domain dynamics in solid-state synapses. Nature Communications. 8(1). 14736–14736. 476 indexed citations breakdown →
4.
Saïghi, Sylvain, Christian Mayr, Teresa Serrano‐Gotarredona, et al.. (2015). Plasticity in memristive devices for spiking neural networks. Frontiers in Neuroscience. 9. 51–51. 174 indexed citations
5.
Debéda, Hélène, et al.. (2015). Vers l’électronique imprimée à l’IMS Bordeaux - plateforme technologique TAMIS (Technologies Alternatives aux MIcrosystèmes Silicium). HAL (Le Centre pour la Communication Scientifique Directe). 14. 2002–2002.
6.
Lecerf, Gwendal, Jean Tomas, Sören Boyn, et al.. (2014). Silicon neuron dedicated to memristive spiking neural networks. HAL (Le Centre pour la Communication Scientifique Directe). 1568–1571. 17 indexed citations
7.
Levi, Timothée, Noëlle Lewis, Jean Tomas, & Sylvie Renaud. (2012). Application of IP-Based Analog Platforms in the Design of Neuromimetic Integrated Circuits. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 31(11). 1629–1641. 7 indexed citations
8.
Ghorbel, Mohamed, et al.. (2011). Fully integrated CMOS data and clock recovery for wireless biomedical implants. 1–5. 9 indexed citations
9.
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
10.
Renaud, Sylvie, et al.. (2007). A Real-Time Closed-Loop Setup for Hybrid Neural Networks. Conference proceedings. 5. 3004–3007. 19 indexed citations
11.
Martinoia, Sérgio, Vittorio Sanguineti, Luca Cozzi, et al.. (2004). Towards an embodied in vitro electrophysiology: the NeuroBIT project. Neurocomputing. 58-60. 1065–1072. 32 indexed citations
12.
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Deval, Yann, et al.. (2002). 1-volt ratiometric temperature stable current reference. 3. 1984–1987. 9 indexed citations
14.
Deval, Yann, et al.. (2002). On chip I/sub DDX/ sensor. 64–67. 5 indexed citations
15.
16.
Deval, Yann, J.B. Bégueret, Jean Tomas, & P. Fouillat. (2000). Toward Analog Circuit Synthesis: A Global Methodology Based upon Design of Experiments. 295–300. 5 indexed citations
17.
Masmoudi, Dorra Sellami, et al.. (2000). A New Current-Mode Synthesis Method for Dynamic Translinear Filters and its Applications in Hearing Instruments. Analog Integrated Circuits and Signal Processing. 22(2-3). 221–229. 4 indexed citations
18.
Deval, Yann, et al.. (1997). 1-V low-noise 200 MHz relaxation oscillator. European Solid-State Circuits Conference. 220–223. 4 indexed citations
19.
Deval, Yann, et al.. (1997). 3.3 V CMOS built-in current sensor. Electronics Letters. 33(5). 345–346. 22 indexed citations
20.
Deval, Yann, et al.. (1996). On Chip IDDX Sensor. 64. 3 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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