Leonid Sigal

102 papers and 3.9k indexed citations i.

About

Leonid Sigal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Leonid Sigal has authored 102 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Computer Vision and Pattern Recognition, 47 papers in Artificial Intelligence and 10 papers in Computational Mechanics. Recurrent topics in Leonid Sigal’s work include Multimodal Machine Learning Applications (36 papers), Human Pose and Action Recognition (36 papers) and Domain Adaptation and Few-Shot Learning (28 papers). Leonid Sigal is often cited by papers focused on Multimodal Machine Learning Applications (36 papers), Human Pose and Action Recognition (36 papers) and Domain Adaptation and Few-Shot Learning (28 papers). Leonid Sigal collaborates with scholars based in Canada, United States and China. Leonid Sigal's co-authors include Michael J. Black, Michalis Raptis, Yanwei Fu, Stan Sclaroff, Yu–Gang Jiang, Horst Haußecker, Eric P. Xing, Xiangyang Xue, Jessica K. Hodgins and Tian Lan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Transactions on Graphics.

In The Last Decade

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

Fields of papers citing papers by Leonid Sigal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leonid Sigal

Since Specialization
Citations

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