D. Amit
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
Papers in
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- Neural dynamics and brain function 3
- Memory and Neural Mechanisms 1
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- Neuroscience and Neuropharmacology Research 2
- Neuroscience and Neural Engineering 1
- Co-authors
- Eugene P. Gross (1 shared paper)Paolo Del Giudice (1 shared paper)Vittorio Dante (1 shared paper)Stefano Fusi (1 shared paper)D. Badoni (1 shared paper)Volodya Yakovlev (1 shared paper)Sandro Romani (1 shared paper)Shaul Hochstein (1 shared paper)
- Journals
- Network Computation in Neural Systems (2 papers)Cerebral Cortex (1 paper)Communications of the ACM (1 paper)IRIS Research product catalog (Sapienza University of Rome) (1 paper)Physical Review (1 paper)
- Partner nations
- IsraelItalyUnited Kingdom
In The Last Decade
D. Amit
7 papers receiving 856 citations
D. Amit's Hit Papers
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 758
- Cellular and Molecular Neuroscience 353
- Statistical and Nonlinear Physics 232
- Electrical and Electronic Engineering 231
- Nuclear and High Energy Physics 46
Countries citing papers authored by D. Amit
This map shows the geographic impact of D. 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. 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. Amit more than expected).
Fields of papers citing papers by D. Amit
This network shows the impact of papers produced by D. 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. Amit. The network helps show where D. Amit may publish in the future.
Co-authors
The 8 scholars most cited alongside D. 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 | Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex Hit paper breakdown → | 1997 | 769 |
| 2 | 1964 | 53 | |
| 3 | 1966 | 50 | |
| 4 | 1998 | 7 | |
| 5 | 1994 | 3 | |
| 6 | 1962 | 1 | |
| 7 | Universal synaptic plasticity mechanism for familiarity and recognition memory | 2006 | 1 |
About D. Amit
D. Amit is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 884 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Quantum, superfluid, helium dynamics (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Memory and Neural Mechanisms (1 paper), Graph Theory and Algorithms (1 paper), Nuclear physics research studies (1 paper), Neuroscience and Neural Engineering (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (758 citations), Cellular and Molecular Neuroscience (353 citations), Statistical and Nonlinear Physics (232 citations), Electrical and Electronic Engineering (231 citations) and Nuclear and High Energy Physics (46 citations). D. Amit has collaborated with scholars based in Israel, Italy and United Kingdom. Frequent co-authors include Eugene P. Gross, Paolo Del Giudice, Vittorio Dante, Stefano Fusi, D. Badoni, Volodya Yakovlev, Sandro Romani and Shaul Hochstein. Their work appears in journals such as Network Computation in Neural Systems, Cerebral Cortex, Communications of the ACM, IRIS Research product catalog (Sapienza University of Rome) and Physical Review.
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.