Eyal Krupka

10 papers and 73 indexed citations i.

About

Eyal Krupka is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Eyal Krupka has authored 10 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Eyal Krupka’s work include Advanced Image and Video Retrieval Techniques (4 papers), Face and Expression Recognition (4 papers) and Neural Networks and Applications (2 papers). Eyal Krupka is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Face and Expression Recognition (4 papers) and Neural Networks and Applications (2 papers). Eyal Krupka collaborates with scholars based in United States, Finland and Israel. Eyal Krupka's co-authors include Naftali Tishby, Ido Leichter, Amir Navot, Ben Klein, Daniel Z. Freedman, Aharon Bar-Hillel, Alon Vinnikov, S. Peer, Yifan Gong and Benjamin Elizalde and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Machine Learning Research and Computer Speech & Language.

In The Last Decade

Co-authorship network of co-authors of Eyal Krupka i

Fields of papers citing papers by Eyal Krupka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eyal Krupka

Since Specialization
Citations

This map shows the geographic impact of Eyal Krupka'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 Eyal Krupka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eyal Krupka 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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2025