Thomas Dalgaty
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Advanced Memory and Neural Computing 23
- Ferroelectric and Negative Capacitance Devices 12
- CCD and CMOS Imaging Sensors 6
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- Neural dynamics and brain function 9
- Co-authors
- Elisa Vianello (21 shared papers)N. Castellani (5 shared papers)Damien Querlioz (7 shared papers)Melika Payvand (8 shared papers)Giacomo Indiveri (8 shared papers)Filippo Moro (5 shared papers)Jérôme Casas (5 shared papers)Yiğit Demirağ (2 shared papers)
- Journals
- Nature Communications (5 papers)Nature Electronics (1 paper)Frontiers in Neuroscience (1 paper)Sensors (1 paper)Current Opinion in Insect Science (1 paper)
- Partner nations
- FranceSwitzerlandItaly
In The Last Decade
Thomas Dalgaty
24 papers receiving 462 citations
Peers
Comparison fields: 5 of 46
- Electrical and Electronic Engineering 400
- Cellular and Molecular Neuroscience 125
- Cognitive Neuroscience 131
- Artificial Intelligence 142
- Hardware and Architecture 21
Countries citing papers authored by Thomas Dalgaty
This map shows the geographic impact of Thomas Dalgaty'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 Dalgaty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Dalgaty more than expected).
Fields of papers citing papers by Thomas Dalgaty
This network shows the impact of papers produced by Thomas Dalgaty. 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 Dalgaty. The network helps show where Thomas Dalgaty may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Dalgaty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 123 | |
| 2 | 2018 | 37 | |
| 3 | 2022 | 35 | |
| 4 | 2023 | 31 | |
| 5 | 2024 | 29 | |
| 6 | 2019 | 27 | |
| 7 | 2022 | 25 | |
| 8 | 2018 | 24 | |
| 9 | 2019 | 22 | |
| 10 | 2020 | 20 | |
| 11 | 2021 | 20 | |
| 12 | 2018 | 18 | |
| 13 | 2019 | 15 | |
| 14 | 2022 | 10 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2021 | 3 |
About Thomas Dalgaty
Thomas Dalgaty is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience and Molecular Biology, having authored 26 papers that have together received 468 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Ferroelectric and Negative Capacitance Devices (12 papers), Neural dynamics and brain function (9 papers), CCD and CMOS Imaging Sensors (6 papers), Neural Networks and Reservoir Computing (5 papers), Neural Networks and Applications (3 papers), Neuroscience and Neural Engineering (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (400 citations), Cellular and Molecular Neuroscience (125 citations), Cognitive Neuroscience (131 citations), Artificial Intelligence (142 citations) and Hardware and Architecture (21 citations). Thomas Dalgaty has collaborated with scholars based in France, Switzerland and Italy. Frequent co-authors include Elisa Vianello, N. Castellani, Damien Querlioz, Melika Payvand, Giacomo Indiveri, Filippo Moro, Jérôme Casas, Yiğit Demirağ, B. De Salvo and Renate Krause. Their work appears in journals such as Nature Communications, Nature Electronics, Frontiers in Neuroscience, Sensors and Current Opinion in Insect Science.
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.