Soheil Kolouri

About

Soheil Kolouri is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Soheil Kolouri has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 5 papers in Aerospace Engineering. Recurrent topics in Soheil Kolouri’s work include Domain Adaptation and Few-Shot Learning (15 papers), Medical Image Segmentation Techniques (9 papers) and Multimodal Machine Learning Applications (7 papers). Soheil Kolouri is often cited by papers focused on Domain Adaptation and Few-Shot Learning (15 papers), Medical Image Segmentation Techniques (9 papers) and Multimodal Machine Learning Applications (7 papers). Soheil Kolouri collaborates with scholars based in United States, United Kingdom and South Korea. Soheil Kolouri's co-authors include Gustavo K. Rohde, Kyungnam Kim, Mohammad Rostami, H. Hoffmann, Se Rim Park, Zak Murez, Ravi Ramamoorthi, David Kriegman, Charles E. Martin and Phillip E. Pope and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Soheil Kolouri i

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Fields of papers citing papers by Soheil Kolouri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Soheil Kolouri

Since Specialization

Citations

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