Robert M. Patton
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing
- Quantum Computing Algorithms and Architecture
- Machine Learning and Data Classification
- Neural Networks and Applications
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- Advanced Neural Network Applications
Papers in
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- Neural Networks and Reservoir Computing 11
- Neural Networks and Applications 5
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- Advanced Memory and Neural Computing 18
- Ferroelectric and Negative Capacitance Devices 14
- Co-authors
- Steven R. Young (14 shared papers)Thomas E. Potok (46 shared papers)Derek Rose (5 shared papers)Thomas P. Karnowski (3 shared papers)Seung–Hwan Lim (6 shared papers)Catherine D. Schuman (21 shared papers)J. Parker Mitchell (8 shared papers)Prasanna Date (7 shared papers)
- Journals
- D-Lib Magazine (3 papers)ACM Journal on Emerging Technologies in Computing Systems (1 paper)Quantum Information Processing (1 paper)Wiley Interdisciplinary Reviews Computational Molecular Science (1 paper)Scientific American (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Robert M. Patton
63 papers receiving 848 citations
Robert M. Patton's Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 454
- Computer Vision and Pattern Recognition 152
- Structural Biology 8
- Computational Theory and Mathematics 72
- Health Information Management 19
Countries citing papers authored by Robert M. Patton
This map shows the geographic impact of Robert M. Patton'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 Robert M. Patton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Patton more than expected).
Fields of papers citing papers by Robert M. Patton
This network shows the impact of papers produced by Robert M. Patton. 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 Robert M. Patton. The network helps show where Robert M. Patton may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert M. Patton, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Optimizing deep learning hyper-parameters through an evolutionary algorithm Hit paper breakdown → | 2015 | 289 |
| 2 | 2020 | 64 | |
| 3 | 2019 | 47 | |
| 4 | 2018 | 47 | |
| 5 | 1951 | 35 | |
| 6 | 2020 | 33 | |
| 7 | 2017 | 30 | |
| 8 | 2020 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2017 | 20 | |
| 11 | 2018 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2018 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2019 | 14 | |
| 16 | 2021 | 12 | |
| 17 | 2016 | 11 | |
| 18 | 2008 | 10 | |
| 19 | 2017 | 10 | |
| 20 | 2021 | 9 |
About Robert M. Patton
Robert M. Patton is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Information Systems and Molecular Biology, having authored 71 papers that have together received 884 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (18 papers), Ferroelectric and Negative Capacitance Devices (14 papers), Neural Networks and Reservoir Computing (11 papers), Advanced Neural Network Applications (8 papers), Biomedical Text Mining and Ontologies (7 papers), Complex Network Analysis Techniques (7 papers), Neural Networks and Applications (5 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Artificial Intelligence (454 citations), Computer Vision and Pattern Recognition (152 citations), Structural Biology (8 citations), Computational Theory and Mathematics (72 citations) and Health Information Management (19 citations). Robert M. Patton has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Steven R. Young, Thomas E. Potok, Derek Rose, Thomas P. Karnowski, Seung–Hwan Lim, Catherine D. Schuman, J. Parker Mitchell, Prasanna Date, Maryam Parsa and James S. Plank. Their work appears in journals such as D-Lib Magazine, ACM Journal on Emerging Technologies in Computing Systems, Quantum Information Processing, Wiley Interdisciplinary Reviews Computational Molecular Science and Scientific American.
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.