Hernan Castro
Impact in
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- Parallel Computing and Optimization Techniques
Papers in
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- Neural Networks and Applications 2
- Neural Networks and Reservoir Computing 1
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- Advanced Memory and Neural Computing 3
- Radiation Effects in Electronics 1
- Semiconductor materials and devices 1
- Co-authors
- M. Höller (4 shared papers)Simon Tam (3 shared papers)Bharat Gupta (1 shared paper)Hsinyu Tsai (1 shared paper)Irem Boybat (1 shared paper)Geoffrey W. Burr (1 shared paper)Manuel Le Gallo (1 shared paper)Abbas Rahimi (1 shared paper)
- Journals
- Nature Computational Science (1 paper)Analog Integrated Circuits and Signal Processing (1 paper)IEEE Transactions on Nuclear Science (1 paper)IEEE Press eBooks (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Hernan Castro
6 papers receiving 80 citations
Peers
Comparison fields: 5 of 31
- Hardware and Architecture 12
- Health Informatics 2
- Artificial Intelligence 39
- Electrical and Electronic Engineering 59
- Cellular and Molecular Neuroscience 10
Countries citing papers authored by Hernan Castro
This map shows the geographic impact of Hernan Castro'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 Hernan Castro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hernan Castro more than expected).
Fields of papers citing papers by Hernan Castro
This network shows the impact of papers produced by Hernan Castro. 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 Hernan Castro. The network helps show where Hernan Castro may publish in the future.
Co-authors
The 12 scholars most cited alongside Hernan Castro, 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 | 1993 | 25 | |
| 2 | 2002 | 24 | |
| 3 | An electrically trainable artificial neural network (ETANN) with 10240 “Floating Gate” synapses | 1990 | 20 |
| 4 | 1993 | 6 | |
| 5 | 1988 | 4 | |
| 6 | 2025 | 3 |
About Hernan Castro
Hernan Castro is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Control and Systems Engineering and Electrochemistry, having authored 6 papers that have together received 82 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (3 papers), Neural Networks and Applications (2 papers), Radiation Effects in Electronics (1 paper), Control Systems and Identification (1 paper), Semiconductor materials and devices (1 paper), Photoreceptor and optogenetics research (1 paper), Neural Networks and Reservoir Computing (1 paper) and Electrochemical Analysis and Applications (1 paper). The work is most often cited by research in Hardware and Architecture (12 citations), Health Informatics (2 citations), Artificial Intelligence (39 citations), Electrical and Electronic Engineering (59 citations) and Cellular and Molecular Neuroscience (10 citations). Hernan Castro has collaborated with scholars based in United States and Switzerland. Frequent co-authors include M. Höller, Simon Tam, Bharat Gupta, Hsinyu Tsai, Irem Boybat, Geoffrey W. Burr, Manuel Le Gallo, Abbas Rahimi, Vijay Narayanan and Abu Sebastian. Their work appears in journals such as Nature Computational Science, Analog Integrated Circuits and Signal Processing, IEEE Transactions on Nuclear Science and IEEE Press eBooks.
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.