Leonid Karlinsky

43 papers and 713 indexed citations i.

About

Leonid Karlinsky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Leonid Karlinsky has authored 43 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Leonid Karlinsky’s work include Domain Adaptation and Few-Shot Learning (22 papers), Multimodal Machine Learning Applications (18 papers) and Advanced Neural Network Applications (7 papers). Leonid Karlinsky is often cited by papers focused on Domain Adaptation and Few-Shot Learning (22 papers), Multimodal Machine Learning Applications (18 papers) and Advanced Neural Network Applications (7 papers). Leonid Karlinsky collaborates with scholars based in United States, Israel and Japan. Leonid Karlinsky's co-authors include Rogério Feris, Raja Giryes, Eli Schwartz, Sivan Harary, Alex Bronstein, Joseph Shtok, Amit Aides, Tomer Michaeli, Rameswar Panda and Abhishek Kumar and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition Letters and Computer Vision and Image Understanding.

In The Last Decade

Co-authorship network of co-authors of Leonid Karlinsky i

Fields of papers citing papers by Leonid Karlinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leonid Karlinsky

Since Specialization
Citations

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