Peyman Passban

11 papers and 114 indexed citations i.

About

Peyman Passban is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Peyman Passban has authored 11 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Peyman Passban’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (4 papers). Peyman Passban is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (4 papers). Peyman Passban collaborates with scholars based in Ireland, Sweden and Germany. Peyman Passban's co-authors include Qun Liu, Mehdi Rezagholizadeh, Andy Way, Qun Liu, Ehsan Kamalloo, Ali Ghodsi, Ashutosh Gupta, Tanya Roosta and Clement Chung and has published in prestigious journals such as ACM Transactions on Asian and Low-Resource Language Information Processing, arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Peyman Passban i

Fields of papers citing papers by Peyman Passban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peyman Passban

Since Specialization
Citations

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