Soheil Feizi

About

Soheil Feizi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Soheil Feizi has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Soheil Feizi’s work include Adversarial Robustness in Machine Learning (20 papers), Anomaly Detection Techniques and Applications (11 papers) and Advanced Neural Network Applications (7 papers). Soheil Feizi is often cited by papers focused on Adversarial Robustness in Machine Learning (20 papers), Anomaly Detection Techniques and Applications (11 papers) and Advanced Neural Network Applications (7 papers). Soheil Feizi collaborates with scholars based in United States, Iran and Ireland. Soheil Feizi's co-authors include Muriel Médard, Manolis Kellis, Daniel Marbach, Peter Rogov, Tiberiu Teşileanu, Andreas Gnirke, Alexandre Melnikov, Xiaolan Zhang, Justin B. Kinney and Tarjei S. Mikkelsen and has published in prestigious journals such as Nature Biotechnology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

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

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Fields of papers citing papers by Soheil Feizi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Soheil Feizi

Since Specialization

Citations

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