Yedid Hoshen

31 papers and 539 indexed citations i.

About

Yedid Hoshen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yedid Hoshen has authored 31 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Yedid Hoshen’s work include Anomaly Detection Techniques and Applications (8 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Digital Media Forensic Detection (5 papers). Yedid Hoshen is often cited by papers focused on Anomaly Detection Techniques and Applications (8 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Digital Media Forensic Detection (5 papers). Yedid Hoshen collaborates with scholars based in Israel and United States. Yedid Hoshen's co-authors include Ron J. Weiss, Kevin Wilson, Niv Cohen, Lior Wolf, Bezalel Peleg, Jitendra Malik, Ke Li, Zoe Piran, Mor Nitzan and Mark Silberstein and has published in prestigious journals such as Nature Biotechnology, Journal of Clinical Medicine and NAR Genomics and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Yedid Hoshen i

Fields of papers citing papers by Yedid Hoshen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yedid Hoshen

Since Specialization
Citations

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