Daniel J. Amit

76 papers and 5.1k indexed citations i.

About

Daniel J. Amit is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Daniel J. Amit has authored 76 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 33 papers in Electrical and Electronic Engineering and 33 papers in Artificial Intelligence. Recurrent topics in Daniel J. Amit’s work include Neural dynamics and brain function (52 papers), Neural Networks and Applications (33 papers) and Advanced Memory and Neural Computing (33 papers). Daniel J. Amit is often cited by papers focused on Neural dynamics and brain function (52 papers), Neural Networks and Applications (33 papers) and Advanced Memory and Neural Computing (33 papers). Daniel J. Amit collaborates with scholars based in Israel, Italy and United States. Daniel J. Amit's co-authors include Haim Sompolinsky, Hanoch Gutfreund, Misha Tsodyks, Stefano Fusi, Luca Peliti, Gianluigi Mongillo, Nicolas Brunel, Giorgio Parisi, Meir Griniasty and Yadin Y. Goldschmidt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Daniel J. Amit i

Fields of papers citing papers by Daniel J. Amit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel J. Amit

Since Specialization
Citations

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).

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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