D. Amit

1.3k citations
7 papers · 884 indexed · 1 hit paper · h-index 4

D. Amit

7 papers receiving 856 citations

Hit Papers

Model of global spontaneous activity and local structured...7691997202620062016250500750

Peers

D. Amit
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
Replace Valeriy I. Sbitnev with:
Valeriy I. Sbitnev Russia
R. Lestienne France
Louis Tao China
Tobias Wagner Germany
D. Badoni Italy
Fernando Montani Argentina
Joel Zylberberg United States
Raphael Ritz Germany
Raoul-Martin Memmesheimer Germany
Pedro V. Carelli Brazil
D. Amit relative to Valeriy I. Sbitnev Russia Valeriy I. Sbitnev's profile →
Citations per field
00.5×4.2×
Valeriy I. Sbitnev · 1×
Citations per year

Countries citing papers authored by D. Amit

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with D. Amit Line = papers co-authored together D. Amit links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Universal synaptic plasticity mechanism for familiarity and recognition memory
20061
2 19987
3
Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortexbreakdown →
1997769
4 19943
5 196650
6 196453
7 19621

About D. Amit

D. Amit is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Condensed Matter Physics, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics, 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), Physics of Superconductivity and Magnetism (1 paper), Neural Networks and Applications (1 paper), Cold Atom Physics and Bose-Einstein Condensates (1 paper), Graph Theory and Algorithms (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, Vittorio Dante, D. Badoni, Stefano Fusi, Paolo Del Giudice, Sandro Romani, Volodya Yakovlev 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.

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