Nandan Thakur

About

Nandan Thakur is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nandan Thakur has authored 9 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nandan Thakur’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Nandan Thakur is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Nandan Thakur collaborates with scholars based in Canada, Germany and China. Nandan Thakur's co-authors include Iryna Gurevych, Nils Reimers, Johannes Daxenberger, Kexin Wang, Jimmy Lin, Andreas Rücklé, Mehdi Rezagholizadeh, Ehsan Kamalloo, Matthias Hagen and Martin Potthast and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Nandan Thakur i

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Fields of papers citing papers by Nandan Thakur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nandan Thakur

Since Specialization

Citations

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