D J Amit
Impact in
- Condensed Matter Physics top 2%
- Theoretical and Computational Physics
- Physics of Superconductivity and Magnetism
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
Papers in
-
- Theoretical and Computational Physics 15
- Physics of Superconductivity and Magnetism 8
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- Neural dynamics and brain function 15
- Co-authors
- S. Grinstein (1 shared paper)Yadin Y. Goldschmidt (1 shared paper)Alessandro Treves (3 shared papers)K. Y. Michael Wong (3 shared papers)Joseph W. Kane (3 shared papers)Hermann‐Josef Wagner (3 shared papers)C. J. Pérez Vicente (1 shared paper)Hanoch Gutfreund (1 shared paper)
- Journals
- Physics Letters A (5 papers)Physical Review Letters (2 papers)Network Computation in Neural Systems (2 papers)Cerebral Cortex (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- IsraelItalyUnited States
In The Last Decade
D J Amit
37 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 70
- Condensed Matter Physics 700
- Cognitive Neuroscience 427
- Statistical and Nonlinear Physics 260
- Mathematical Physics 133
- Atomic and Molecular Physics, and Optics 445
Countries citing papers authored by D J Amit
This map shows the geographic impact of D J Amit'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 D J Amit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D J Amit more than expected).
Fields of papers citing papers by D J Amit
This network shows the impact of papers produced by D J Amit. 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 D J Amit. The network helps show where D J Amit may publish in the future.
Co-authors
The 25 scholars most cited alongside D J Amit, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 288 | |
| 2 | 1976 | 143 | |
| 3 | 1986 | 80 | |
| 4 | 1989 | 62 | |
| 5 | 1988 | 59 | |
| 6 | 1988 | 52 | |
| 7 | 2003 | 52 | |
| 8 | 1974 | 51 | |
| 9 | 1989 | 51 | |
| 10 | 1968 | 43 | |
| 11 | 1989 | 41 | |
| 12 | 1974 | 41 | |
| 13 | 1989 | 38 | |
| 14 | 1990 | 35 | |
| 15 | 1977 | 33 | |
| 16 | 1974 | 31 | |
| 17 | 1982 | 31 | |
| 18 | 1989 | 29 | |
| 19 | 1968 | 28 | |
| 20 | 1994 | 27 |
About D J Amit
D J Amit is a scholar working on Condensed Matter Physics, Cognitive Neuroscience, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (15 papers), Neural dynamics and brain function (15 papers), Neural Networks and Applications (14 papers), Advanced Memory and Neural Computing (8 papers), Physics of Superconductivity and Magnetism (8 papers), Quantum, superfluid, helium dynamics (6 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). The work is most often cited by research in Condensed Matter Physics (700 citations), Cognitive Neuroscience (427 citations), Statistical and Nonlinear Physics (260 citations), Mathematical Physics (133 citations) and Atomic and Molecular Physics, and Optics (445 citations). D J Amit has collaborated with scholars based in Israel, Italy and United States. Frequent co-authors include S. Grinstein, Yadin Y. Goldschmidt, Alessandro Treves, K. Y. Michael Wong, Joseph W. Kane, Hermann‐Josef Wagner, C. J. Pérez Vicente, Hanoch Gutfreund, A. Crisanti and Colin Campbell. Their work appears in journals such as Physics Letters A, Physical Review Letters, Network Computation in Neural Systems, Cerebral Cortex and Proceedings of the National Academy of Sciences.
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.