Yaman Kumar

21 papers and 125 indexed citations i.

About

Yaman Kumar is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yaman Kumar has authored 21 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yaman Kumar’s work include Speech and Audio Processing (7 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (6 papers). Yaman Kumar is often cited by papers focused on Speech and Audio Processing (7 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (6 papers). Yaman Kumar collaborates with scholars based in India, United States and Singapore. Yaman Kumar's co-authors include Rajiv Ratn Shah, Roger Zimmermann, Debanjan Mahata, Ponnurangam Kumaraguru, Swati Aggarwal, Yifang Yin, Changyou Chen, Amanda Stent, Balaji Krishnamurthy and Nora Hollenstein and has published in prestigious journals such as Language Resources and Evaluation, International Journal of Artificial Intelligence in Education and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Yaman Kumar i

Fields of papers citing papers by Yaman Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yaman Kumar

Since Specialization
Citations

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