William Severa
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Reservoir Computing
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
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- Neural dynamics and brain function
Papers in
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- Advanced Memory and Neural Computing 32
- Ferroelectric and Negative Capacitance Devices 24
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- Neural Networks and Reservoir Computing 12
- Neural Networks and Applications 4
- Co-authors
- James B. Aimone (22 shared papers)Craig Michael Vineyard (15 shared papers)Ojas Parekh (10 shared papers)Stephen Verzi (2 shared papers)Conrad D. James (4 shared papers)Kristofor D. Carlson (3 shared papers)Ali Pınar (3 shared papers)Cynthia A. Phillips (3 shared papers)
- Journals
- Computer (1 paper)Scientific Reports (1 paper)Nature Machine Intelligence (1 paper)Neural Computation (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
William Severa
34 papers receiving 333 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 184
- Cognitive Neuroscience 83
- Electrical and Electronic Engineering 217
- Cellular and Molecular Neuroscience 47
- Hardware and Architecture 10
Countries citing papers authored by William Severa
This map shows the geographic impact of William Severa'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 William Severa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Severa more than expected).
Fields of papers citing papers by William Severa
This network shows the impact of papers produced by William Severa. 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 William Severa. The network helps show where William Severa may publish in the future.
Co-authors
The 25 scholars most cited alongside William Severa, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2017 | 49 | |
| 3 | 2022 | 44 | |
| 4 | 2019 | 17 | |
| 5 | 2021 | 15 | |
| 6 | 2016 | 15 | |
| 7 | 2020 | 13 | |
| 8 | 2016 | 11 | |
| 9 | 2017 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2011 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2017 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2010 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2019 | 4 |
About William Severa
William Severa is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Hardware and Architecture, having authored 40 papers that have together received 345 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (32 papers), Ferroelectric and Negative Capacitance Devices (24 papers), Neural Networks and Reservoir Computing (12 papers), Neural dynamics and brain function (9 papers), Neural Networks and Applications (4 papers), Advanced SAR Imaging Techniques (2 papers), semigroups and automata theory (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Artificial Intelligence (184 citations), Cognitive Neuroscience (83 citations), Electrical and Electronic Engineering (217 citations), Cellular and Molecular Neuroscience (47 citations) and Hardware and Architecture (10 citations). William Severa has collaborated with scholars based in United States and Spain. Frequent co-authors include James B. Aimone, Craig Michael Vineyard, Ojas Parekh, Stephen Verzi, Conrad D. James, Kristofor D. Carlson, Ali Pınar, Cynthia A. Phillips, J. Darby Smith and Jonathan A. Cox. Their work appears in journals such as Computer, Scientific Reports, Nature Machine Intelligence, Neural Computation and Frontiers in Neuroscience.
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.