Madhav Nimishakavi

About

Madhav Nimishakavi is a scholar working on Artificial Intelligence, Computational Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Madhav Nimishakavi has authored 8 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computational Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Madhav Nimishakavi’s work include Tensor decomposition and applications (5 papers), Advanced Graph Neural Networks (2 papers) and Topic Modeling (2 papers). Madhav Nimishakavi is often cited by papers focused on Tensor decomposition and applications (5 papers), Advanced Graph Neural Networks (2 papers) and Topic Modeling (2 papers). Madhav Nimishakavi collaborates with scholars based in India and United States. Madhav Nimishakavi's co-authors include Partha Talukdar, Prateek Yadav, Naganand Yadati, Anand Louis, Bamdev Mishra, Manish Gupta, Vikram Nitin, Pratik Jawanpuria, Shikhar Vashishth and Arun Rajkumar and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Madhav Nimishakavi i

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Fields of papers citing papers by Madhav Nimishakavi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Madhav Nimishakavi

Since Specialization

Citations

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