Soroush Mehri

6 papers and 316 indexed citations i.

About

Soroush Mehri is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Soroush Mehri has authored 6 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Management Science and Operations Research. Recurrent topics in Soroush Mehri’s work include Neural Networks and Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Natural Language Processing Techniques (2 papers). Soroush Mehri is often cited by papers focused on Neural Networks and Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Natural Language Processing Techniques (2 papers). Soroush Mehri collaborates with scholars based in United States, Canada and United Kingdom. Soroush Mehri's co-authors include Yoshua Bengio, João Felipe Santos, Aaron Courville, Kyle Kastner, Jose Sotelo, Kundan Kumar, Adam Trischler, Xingdi Yuan, Tsendsuren Munkhdalai and Christopher Pal and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Soroush Mehri i

Fields of papers citing papers by Soroush Mehri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Soroush Mehri

Since Specialization
Citations

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