Yali Amit

50 papers and 2.5k indexed citations i.

About

Yali Amit is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Yali Amit has authored 50 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 17 papers in Cognitive Neuroscience and 16 papers in Artificial Intelligence. Recurrent topics in Yali Amit’s work include Neural dynamics and brain function (14 papers), Advanced Memory and Neural Computing (11 papers) and Medical Image Segmentation Techniques (8 papers). Yali Amit is often cited by papers focused on Neural dynamics and brain function (14 papers), Advanced Memory and Neural Computing (11 papers) and Medical Image Segmentation Techniques (8 papers). Yali Amit collaborates with scholars based in United States, Israel and France. Yali Amit's co-authors include Donald Geman, Ulf Grenander, Nicholas G. Hatsopoulos, Alain Trouvé, Michael I. Miller, Mauro Piccioni, Gary E. Christensen, Adam S. Dickey, Stéphanie Allassonnière and Aaron J. Suminski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Yali Amit i

Fields of papers citing papers by Yali Amit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yali 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 Yali Amit. The network helps show where Yali Amit may publish in the future.

Countries citing papers authored by Yali Amit

Since Specialization
Citations

This map shows the geographic impact of Yali 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 Yali Amit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yali 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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