R.W. Newcomb
Impact in
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- Neuroscience and Neuropharmacology Research
- Computational Mathematics top 5%
Papers in
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- Advanced Memory and Neural Computing 19
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- Neural Networks and Applications 57
- Co-authors
- Manjul Bhushan (1 shared paper)A. H. Zemanian (1 shared paper)L.P. Huelsman (1 shared paper)W. J. Kerwin (1 shared paper)A.E. Williams (1 shared paper)A.E. Atia (1 shared paper)Brian D. O. Anderson (22 shared papers)José R. Lémos (4 shared papers)
- Journals
- Proceedings of the IEEE (23 papers)Electronics Letters (14 papers)IEEE Circuits and Systems Magazine (4 papers)Journal of the Franklin Institute (4 papers)Computer Communications (3 papers)
- Partner nations
- United StatesSpainSouth Korea
In The Last Decade
R.W. Newcomb
200 papers receiving 4.1k citations
R.W. Newcomb's Hit Papers
Peers
Comparison fields: 5 of 154
- Cellular and Molecular Neuroscience 981
- Computational Mathematics 25
- Electrical and Electronic Engineering 1.5k
- Numerical Analysis 129
- Signal Processing 255
Countries citing papers authored by R.W. Newcomb
This map shows the geographic impact of R.W. Newcomb'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 R.W. Newcomb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.W. Newcomb more than expected).
Fields of papers citing papers by R.W. Newcomb
This network shows the impact of papers produced by R.W. Newcomb. 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 R.W. Newcomb. The network helps show where R.W. Newcomb may publish in the future.
Co-authors
The 25 scholars most cited alongside R.W. Newcomb, 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 228 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Grounding of capacitors in integrated circuits Hit paper breakdown → | 1967 | 381 |
| 2 | 1998 | 330 | |
| 3 | 1967 | 250 | |
| 4 | 1974 | 245 | |
| 5 | 1981 | 238 | |
| 6 | 1993 | 208 | |
| 7 | 1966 | 168 | |
| 8 | 1988 | 167 | |
| 9 | 2003 | 104 | |
| 10 | 1999 | 101 | |
| 11 | 1997 | 98 | |
| 12 | 1996 | 92 | |
| 13 | 1989 | 88 | |
| 14 | 1994 | 76 | |
| 15 | Active integrated circuit synthesis | 1968 | 72 |
| 16 | 1997 | 69 | |
| 17 | 2013 | 57 | |
| 18 | 1987 | 56 | |
| 19 | 1998 | 54 | |
| 20 | 2000 | 48 |
About R.W. Newcomb
R.W. Newcomb is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering, Computational Theory and Mathematics and Computer Networks and Communications, having authored 228 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (57 papers), Analog and Mixed-Signal Circuit Design (36 papers), Advanced Memory and Neural Computing (19 papers), Matrix Theory and Algorithms (15 papers), Advanced Adaptive Filtering Techniques (14 papers), Sensor Technology and Measurement Systems (12 papers), Speech and Audio Processing (11 papers) and Hearing Loss and Rehabilitation (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (981 citations), Computational Mathematics (25 citations), Electrical and Electronic Engineering (1.5k citations), Numerical Analysis (129 citations) and Signal Processing (255 citations). R.W. Newcomb has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Manjul Bhushan, A. H. Zemanian, L.P. Huelsman, W. J. Kerwin, A.E. Williams, A.E. Atia, Brian D. O. Anderson, José R. Lémos, Gang Wang and Mona Zaghloul. Their work appears in journals such as Proceedings of the IEEE, Electronics Letters, IEEE Circuits and Systems Magazine, Journal of the Franklin Institute and Computer Communications.
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.