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)Vittorio Dante (1 shared paper)Paolo Del Giudice (1 shared paper)D. Badoni (1 shared paper)Stefano Fusi (1 shared paper)Volodya Yakovlev (1 shared paper)Shaul Hochstein (1 shared paper)Sandro Romani (1 shared paper)
- Journals
- Network Computation in Neural Systems (2 papers)Communications of the ACM (1 paper)Cerebral Cortex (1 paper)Physical Review (1 paper)Nuclear Physics (1 paper)
- Partner nations
- IsraelItalyUnited States
In The Last Decade
D. Amit
7 papers receiving 904 citations
D. Amit's Hit Papers
Peers
Comparison fields: 5 of 59
- Cognitive Neuroscience 796
- Cellular and Molecular Neuroscience 370
- Statistical and Nonlinear Physics 244
- Electrical and Electronic Engineering 236
- Nuclear and High Energy Physics 48
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 | 818 |
| 2 | 1966 | 58 | |
| 3 | 1964 | 56 | |
| 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 944 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Quantum, superfluid, helium dynamics (2 papers), Graph Theory and Algorithms (1 paper), Neuroscience and Neural Engineering (1 paper), Nuclear physics research studies (1 paper), Memory and Neural Mechanisms (1 paper) and Cold Atom Physics and Bose-Einstein Condensates (1 paper). The work is most often cited by research in Cognitive Neuroscience (796 citations), Cellular and Molecular Neuroscience (370 citations), Statistical and Nonlinear Physics (244 citations), Electrical and Electronic Engineering (236 citations) and Nuclear and High Energy Physics (48 citations). D. Amit has collaborated with scholars based in Israel, Italy and United States. Frequent co-authors include Eugene P. Gross, Vittorio Dante, Paolo Del Giudice, D. Badoni, Stefano Fusi, Volodya Yakovlev, Shaul Hochstein and Sandro Romani. Their work appears in journals such as Network Computation in Neural Systems, Communications of the ACM, Cerebral Cortex, Physical Review and Nuclear 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.