Thomas Mesquida
Impact in
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- Neural dynamics and brain function
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
Papers in
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- Advanced Memory and Neural Computing 12
- Ferroelectric and Negative Capacitance Devices 6
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- Neural dynamics and brain function 6
- Co-authors
- Alexandre Valentian (7 shared papers)Lorena Anghel (4 shared papers)Elisa Vianello (3 shared papers)C. Reita (1 shared paper)Olivier Bichler (1 shared paper)Thomas Dalgaty (4 shared papers)Filippo Moro (1 shared paper)N. Castellani (1 shared paper)
- Journals
- Nature Communications (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)IEEE Transactions on Emerging Topics in Computational Intelligence (1 paper)Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (7 papers)
- Partner nations
- FranceItalySwitzerland
In The Last Decade
Thomas Mesquida
13 papers receiving 235 citations
Peers
Comparison fields: 5 of 42
- Cognitive Neuroscience 66
- Electrical and Electronic Engineering 184
- Cellular and Molecular Neuroscience 49
- Artificial Intelligence 78
- Hardware and Architecture 7
Countries citing papers authored by Thomas Mesquida
This map shows the geographic impact of Thomas Mesquida'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 Thomas Mesquida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Mesquida more than expected).
Fields of papers citing papers by Thomas Mesquida
This network shows the impact of papers produced by Thomas Mesquida. 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 Thomas Mesquida. The network helps show where Thomas Mesquida may publish in the future.
Co-authors
The 21 scholars most cited alongside Thomas Mesquida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 65 | |
| 2 | 2023 | 51 | |
| 3 | 2022 | 41 | |
| 4 | 2022 | 35 | |
| 5 | 2022 | 10 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 2 | |
| 12 | 2016 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2025 | 0 |
About Thomas Mesquida
Thomas Mesquida is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence and Information Systems, having authored 14 papers that have together received 237 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Neural dynamics and brain function (6 papers), Neuroscience and Neural Engineering (3 papers), Neural Networks and Applications (2 papers), Neural Networks and Reservoir Computing (2 papers), Underwater Vehicles and Communication Systems (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (66 citations), Electrical and Electronic Engineering (184 citations), Cellular and Molecular Neuroscience (49 citations), Artificial Intelligence (78 citations) and Hardware and Architecture (7 citations). Thomas Mesquida has collaborated with scholars based in France, Italy and Switzerland. Frequent co-authors include Alexandre Valentian, Lorena Anghel, Elisa Vianello, C. Reita, Olivier Bichler, Thomas Dalgaty, Filippo Moro, N. Castellani, David Esseni and Melika Payvand. Their work appears in journals such as Nature Communications, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) and HAL (Le Centre pour la Communication Scientifique Directe).
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.