J. Alspector
Impact in
-
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Artificial Intelligence top 5%
- Neural Networks and Applications
Papers in
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- Particle physics theoretical and experimental studies 14
- Quantum Chromodynamics and Particle Interactions 12
- High-Energy Particle Collisions Research 11
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- Neural Networks and Applications 17
- Text and Document Classification Technologies 3
- Co-authors
- Aleksander Kołcz (6 shared papers)Robert B. Allen (4 shared papers)Abdur Chowdhury (2 shared papers)Nachimuthu Karunanithi (2 shared papers)G. Kalbfleisch (12 shared papers)Aarav Kannan Jayakumar (3 shared papers)Joel W. Gannett (3 shared papers)Marijke F. Augusteijn (1 shared paper)
- Journals
- Physics Letters B (7 papers)Physical Review Letters (4 papers)IEEE Communications Magazine (1 paper)Information Retrieval (1 paper)AI Magazine (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
J. Alspector
46 papers receiving 798 citations
Peers
Comparison fields: 5 of 78
- Nuclear and High Energy Physics 206
- Artificial Intelligence 423
- Computer Vision and Pattern Recognition 168
- Signal Processing 71
- Information Systems 145
Countries citing papers authored by J. Alspector
This map shows the geographic impact of J. Alspector'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 J. Alspector with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Alspector more than expected).
Fields of papers citing papers by J. Alspector
This network shows the impact of papers produced by J. Alspector. 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 J. Alspector. The network helps show where J. Alspector may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Alspector, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 84 | |
| 2 | 2000 | 82 | |
| 3 | A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks | 1992 | 77 |
| 4 | 2004 | 54 | |
| 5 | 1998 | 44 | |
| 6 | 1979 | 44 | |
| 7 | Stochastic Learning Networks and their Electronic Implementation | 1987 | 38 |
| 8 | 1997 | 36 | |
| 9 | Performance of a Stochastic Learning Microchip | 1988 | 35 |
| 10 | 1973 | 35 | |
| 11 | 1972 | 30 | |
| 12 | Relaxation Networks for Large Supervised Learning Problems | 1990 | 30 |
| 13 | The Impact of Feature Selection on Signature-Driven Spam Detection. | 2004 | 27 |
| 14 | Experimental Evaluation of Learning in a Neural Microsystem | 1991 | 25 |
| 15 | 1976 | 25 | |
| 16 | 1979 | 21 | |
| 17 | 1981 | 17 | |
| 18 | 1979 | 14 | |
| 19 | 1981 | 14 | |
| 20 | 2021 | 14 |
About J. Alspector
J. Alspector is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Signal Processing, having authored 48 papers that have together received 891 indexed citations. Recurring topics across this work include Neural Networks and Applications (17 papers), Particle physics theoretical and experimental studies (14 papers), Quantum Chromodynamics and Particle Interactions (12 papers), Advanced Memory and Neural Computing (11 papers), High-Energy Particle Collisions Research (11 papers), Neural dynamics and brain function (4 papers), Model Reduction and Neural Networks (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (206 citations), Artificial Intelligence (423 citations), Computer Vision and Pattern Recognition (168 citations), Signal Processing (71 citations) and Information Systems (145 citations). J. Alspector has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Aleksander Kołcz, Robert B. Allen, Abdur Chowdhury, Nachimuthu Karunanithi, G. Kalbfleisch, Aarav Kannan Jayakumar, Joel W. Gannett, Marijke F. Augusteijn, George Viorel Popescu and Robert Carlson. Their work appears in journals such as Physics Letters B, Physical Review Letters, IEEE Communications Magazine, Information Retrieval and AI Magazine.
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.