Moshe Salhov

16 papers and 171 indexed citations i.

About

Moshe Salhov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Moshe Salhov has authored 16 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Moshe Salhov’s work include Neural Networks and Applications (5 papers), Face and Expression Recognition (5 papers) and Image and Signal Denoising Methods (4 papers). Moshe Salhov is often cited by papers focused on Neural Networks and Applications (5 papers), Face and Expression Recognition (5 papers) and Image and Signal Denoising Methods (4 papers). Moshe Salhov collaborates with scholars based in Israel, Finland and United States. Moshe Salhov's co-authors include Amir Averbuch, Arie Yeredor, Ofir Lindenbaum, Sabine Oligschläger, Isaac Meilijson, Zohar Berman, Daphna Joel, Chen Hoffmann, Shai Shrot and Eli Konen and has published in prestigious journals such as IEEE Transactions on Signal Processing, Machine Learning and Frontiers in Human Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Moshe Salhov i

Fields of papers citing papers by Moshe Salhov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Moshe Salhov

Since Specialization
Citations

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