Kaheer Suleman

14 papers and 677 indexed citations i.

About

Kaheer Suleman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Kaheer Suleman has authored 14 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Sociology and Political Science. Recurrent topics in Kaheer Suleman’s work include Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Speech and dialogue systems (5 papers). Kaheer Suleman is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Speech and dialogue systems (5 papers). Kaheer Suleman collaborates with scholars based in Canada, United Kingdom and Algeria. Kaheer Suleman's co-authors include Adam Trischler, Justin Harris, Philip Bachman, Xingdi Yuan, Alessandro Sordoni, Tong Wang, Layla El Asri, Hannes Schulz, Jing He and Shikhar Sharma and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Journal of Information Science and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Kaheer Suleman i

Fields of papers citing papers by Kaheer Suleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaheer Suleman

Since Specialization
Citations

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