Shahab Kamali

8 papers and 1.3k indexed citations i.

About

Shahab Kamali is a scholar working on Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Shahab Kamali has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Surgery. Recurrent topics in Shahab Kamali’s work include Multimodal Machine Learning Applications (3 papers), Advanced Neural Network Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Shahab Kamali is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Advanced Neural Network Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Shahab Kamali collaborates with scholars based in United States, Switzerland and Iran. Shahab Kamali's co-authors include Tom Duerig, Ivan Krasin, Jordi Pont-Tuset, Alexander Kolesnikov, Vittorio Ferrari, Stefan Popov, Neil Alldrin, Alina Kuznetsova, Jasper Uijlings and Jaroslav Opatrny and has published in prestigious journals such as International Journal of Computer Vision, Child s Nervous System and Journal of Networks.

In The Last Decade

Co-authorship network of co-authors of Shahab Kamali i

Fields of papers citing papers by Shahab Kamali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shahab Kamali

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025