Daniel J. Amit
Impact in
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Statistical and Nonlinear Physics top 0.2%
- stochastic dynamics and bifurcation
Papers in
-
- Neural dynamics and brain function 57
-
- Neural Networks and Applications 41
- Co-authors
- Hanoch Gutfreund (6 shared papers)Haim Sompolinsky (6 shared papers)Misha V. Tsodyks (8 shared papers)Víctor Martín-Mayor (2 shared papers)Stefano Fusi (9 shared papers)Luca Peliti (3 shared papers)Gianluigi Mongillo (6 shared papers)Nicolas Brunel (5 shared papers)
- Journals
- Network Computation in Neural Systems (28 papers)Neural Computation (7 papers)Annals of Physics (5 papers)Nuclear Physics B (5 papers)Journal of Statistical Physics (4 papers)
- Partner nations
- IsraelItalyUnited States
In The Last Decade
Daniel J. Amit
92 papers receiving 8.4k citations
Daniel J. Amit's Hit Papers
Peers
Comparison fields: 5 of 145
- Cognitive Neuroscience 5.0k
- Statistical and Nonlinear Physics 1.9k
- Condensed Matter Physics 1.7k
- Artificial Intelligence 3.6k
- Cellular and Molecular Neuroscience 1.5k
Countries citing papers authored by Daniel J. Amit
This map shows the geographic impact of Daniel 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 Daniel 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 Daniel J. Amit more than expected).
Fields of papers citing papers by Daniel J. Amit
This network shows the impact of papers produced by Daniel 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 Daniel J. Amit. The network helps show where Daniel J. Amit may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Modeling Brain Function Hit paper breakdown → | 1989 | 1537 |
| 2 | Spin-glass models of neural networks Hit paper breakdown → | 1985 | 846 |
| 3 | Storing Infinite Numbers of Patterns in a Spin-Glass Model of Neural Networks Hit paper breakdown → | 1985 | 804 |
| 4 | 1987 | 647 | |
| 5 | Field Theory, the Renormalization Group, and Critical Phenomena Hit paper breakdown → | 2005 | 587 |
| 6 | Field Theory, The Renormalization Group and Critical Phenomena Hit paper breakdown → | 1993 | 555 |
| 7 | Modeling Brain Function Hit paper breakdown → | 1989 | 500 |
| 8 | 1995 | 313 | |
| 9 | 1987 | 269 | |
| 10 | 1991 | 232 | |
| 11 | 1994 | 224 | |
| 12 | 1983 | 204 | |
| 13 | 2000 | 188 | |
| 14 | 1997 | 174 | |
| 15 | 1993 | 159 | |
| 16 | 1991 | 158 | |
| 17 | 1997 | 93 | |
| 18 | 1991 | 87 | |
| 19 | 2003 | 87 | |
| 20 | 1995 | 71 |
About Daniel J. Amit
Daniel J. Amit is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Condensed Matter Physics, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 99 papers that have together received 9.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (57 papers), Neural Networks and Applications (41 papers), Advanced Memory and Neural Computing (35 papers), Theoretical and Computational Physics (17 papers), Neuroscience and Neuropharmacology Research (8 papers), stochastic dynamics and bifurcation (6 papers), Black Holes and Theoretical Physics (5 papers) and Advanced Thermodynamics and Statistical Mechanics (5 papers). The work is most often cited by research in Cognitive Neuroscience (5.0k citations), Statistical and Nonlinear Physics (1.9k citations), Condensed Matter Physics (1.7k citations), Artificial Intelligence (3.6k citations) and Cellular and Molecular Neuroscience (1.5k citations). Daniel J. Amit has collaborated with scholars based in Israel, Italy and United States. Frequent co-authors include Hanoch Gutfreund, Haim Sompolinsky, Misha V. Tsodyks, Víctor Martín-Mayor, Stefano Fusi, Luca Peliti, Gianluigi Mongillo, Nicolas Brunel, Giorgio Parisi and Meir Griniasty. Their work appears in journals such as Network Computation in Neural Systems, Neural Computation, Annals of Physics, Nuclear Physics B and Journal of Statistical Physics.
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.