Mitesh M. Khapra

79 papers and 1.3k indexed citations i.

About

Mitesh M. Khapra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Mitesh M. Khapra has authored 79 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Mitesh M. Khapra’s work include Topic Modeling (56 papers), Natural Language Processing Techniques (55 papers) and Multimodal Machine Learning Applications (16 papers). Mitesh M. Khapra is often cited by papers focused on Topic Modeling (56 papers), Natural Language Processing Techniques (55 papers) and Multimodal Machine Learning Applications (16 papers). Mitesh M. Khapra collaborates with scholars based in India, United States and United Kingdom. Mitesh M. Khapra's co-authors include Balaraman Ravindran, Preksha Nema, Karthik Sankaranarayanan, Amrita Saha, Sarath Chandar, Shweta Bhardwaj, Pratyush Kumar, Pushpak Bhattacharyya, Anirban Laha and Mukundhan Srinivasan and has published in prestigious journals such as ACM Computing Surveys, Neural Computation and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Mitesh M. Khapra i

Fields of papers citing papers by Mitesh M. Khapra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitesh M. Khapra. 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 Mitesh M. Khapra. The network helps show where Mitesh M. Khapra may publish in the future.

Countries citing papers authored by Mitesh M. Khapra

Since Specialization
Citations

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