Kapil Thadani

22 papers and 178 indexed citations i.

About

Kapil Thadani is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kapil Thadani has authored 22 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Kapil Thadani’s work include Topic Modeling (14 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (5 papers). Kapil Thadani is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (5 papers). Kapil Thadani collaborates with scholars based in United States, United Kingdom and Germany. Kapil Thadani's co-authors include Kathleen McKeown, Sara Rosenthal, Aakriti Gupta, Neil O’Hare, Michael White, Scott L. Martin, Jacob Andreas, Dragomir Radev, Simone Teufel and B. King and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Language Resources and Evaluation and Journal of the Association for Information Science and Technology.

In The Last Decade

Co-authorship network of co-authors of Kapil Thadani i

Fields of papers citing papers by Kapil Thadani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kapil Thadani

Since Specialization
Citations

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