J. Alspector
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies 14
- Quantum Chromodynamics and Particle Interactions 12
- High-Energy Particle Collisions Research 11
- Artificial Intelligence top 5%
- Neural Networks and Applications 14
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- Model Reduction and Neural Networks 3
- Information Systems top 5%
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- Advanced Memory and Neural Computing 9
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- Neural dynamics and brain function 4
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- Analog and Mixed-Signal Circuit Design 3
- Co-authors
- Aleksander KołczAbdur ChowdhuryRobert B. AllenN. KarunanithiG. KalbfleischA. JayakumarJ.W. GannettGeorge V. Popescu
- Cited by
- Nuclear and High Energy PhysicsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- Physics Letters B (7 papers)Physical Review Letters (4 papers)Information Retrieval (1 paper)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
J. Alspector
43 papers receiving 665 citations
Peers
Comparison fields: 5 of 74
- Nuclear and High Energy Physics 174
- Artificial Intelligence 342
- Computer Vision and Pattern Recognition 140
- Statistical and Nonlinear Physics 67
- Information Systems 118
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 1 | |
| 2 | The Impact of Feature Selection on Signature-Driven Spam Detection. | 2004 | 24 |
| 3 | 1999 | 1 | |
| 4 | 1997 | 30 | |
| 5 | A Study of Parallel Perturbative Gradient Descent | 1994 | 8 |
| 6 | A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks | 1992 | 68 |
| 7 | 1992 | 4 | |
| 8 | Experimental Evaluation of Learning in a Neural Microsystem | 1991 | 22 |
| 9 | A VLSI-efficient technique for generating multiple uncorrelated noise sources and its application to stochastic neural networks | 1991 | 0 |
| 10 | Relaxation Networks for Large Supervised Learning Problems | 1990 | 24 |
| 11 | 1990 | 8 | |
| 12 | Performance of a Stochastic Learning Microchip | 1988 | 23 |
| 13 | Stochastic Learning Networks and their Electronic Implementation | 1987 | 27 |
| 14 | 1981 | 13 | |
| 15 | 1979 | 6 | |
| 16 | 1979 | 13 | |
| 17 | 1979 | 9 | |
| 18 | 1973 | 32 | |
| 19 | 1972 | 3 | |
| 20 | 1967 | 9 |
About J. Alspector
J. Alspector is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Statistical and Nonlinear Physics, Signal Processing and Cognitive Neuroscience, having authored 45 papers that have together received 734 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (14 papers), Neural Networks and Applications (14 papers), Quantum Chromodynamics and Particle Interactions (12 papers), High-Energy Particle Collisions Research (11 papers), Advanced Memory and Neural Computing (9 papers), Neural dynamics and brain function (4 papers), Analog and Mixed-Signal Circuit Design (3 papers) and Model Reduction and Neural Networks (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (174 citations), Artificial Intelligence (342 citations), Computer Vision and Pattern Recognition (140 citations), Statistical and Nonlinear Physics (67 citations) and Information Systems (118 citations). J. Alspector has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Aleksander Kołcz, Abdur Chowdhury, Robert B. Allen, N. Karunanithi, G. Kalbfleisch, A. Jayakumar, J.W. Gannett, George V. Popescu, Robert Carlson and Marijke F. Augusteijn. Their work appears in journals such as Physics Letters B, Physical Review Letters, Information Retrieval, Pattern Analysis and Applications and Nuclear Physics B.
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.