D J Amit
Impact in
- Condensed Matter Physics top 2%
- Theoretical and Computational Physics
- Physics of Superconductivity and Magnetism
Papers in
-
- Theoretical and Computational Physics 15
- Physics of Superconductivity and Magnetism 8
-
- Neural dynamics and brain function 14
- Co-authors
- Yadin Y. GoldschmidtS. GrinsteinAlessandro TrevesJoseph W. KaneHermann‐Josef WagnerK. Y. Michael WongC. J. Pérez VicenteA. Crisanti
- Journals
- Physics Letters A (5 papers)Network Computation in Neural Systems (2 papers)Physical Review Letters (2 papers)Cerebral Cortex (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
D J Amit
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 69
- Condensed Matter Physics 674
- Statistical and Nonlinear Physics 245
- Cognitive Neuroscience 380
- Mathematical Physics 131
- Atomic and Molecular Physics, and Optics 432
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 22 | |
| 2 | 2003 | 48 | |
| 3 | 2000 | 17 | |
| 4 | 1998 | 7 | |
| 5 | 1990 | 9 | |
| 6 | 1989 | 57 | |
| 7 | 1989 | 36 | |
| 8 | 1988 | 50 | |
| 9 | 1988 | 44 | |
| 10 | 1982 | 31 | |
| 11 | 1976 | 139 | |
| 12 | 1975 | 14 | |
| 13 | 1974 | 31 | |
| 14 | 1974 | 51 | |
| 15 | 1972 | 6 | |
| 16 | 1968 | 6 | |
| 17 | 1968 | 27 | |
| 18 | 1968 | 16 | |
| 19 | 1967 | 21 | |
| 20 | 1966 | 2 |
About D J Amit
D J Amit is a scholar working on Condensed Matter Physics, Cognitive Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (15 papers), Neural dynamics and brain function (14 papers), Neural Networks and Applications (13 papers), Physics of Superconductivity and Magnetism (8 papers), Advanced Memory and Neural Computing (7 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 (674 citations), Statistical and Nonlinear Physics (245 citations), Cognitive Neuroscience (380 citations), Mathematical Physics (131 citations) and Atomic and Molecular Physics, and Optics (432 citations). D J Amit has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Yadin Y. Goldschmidt, S. Grinstein, Alessandro Treves, Joseph W. Kane, Hermann‐Josef Wagner, K. Y. Michael Wong, C. J. Pérez Vicente, A. Crisanti, Hanoch Gutfreund and Colin Campbell. Their work appears in journals such as Physics Letters A, Network Computation in Neural Systems, Physical Review Letters, 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.