Nishant Subramani

30 total papers · 638 total citations
6 papers, 64 citations indexed

About

Nishant Subramani is a scholar working on Artificial Intelligence, Information Systems and Health Informatics. According to data from OpenAlex, Nishant Subramani has authored 6 papers receiving a total of 64 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Health Informatics. Recurrent topics in Nishant Subramani's work include Topic Modeling (4 papers), Hate Speech and Cyberbullying Detection (2 papers) and Natural Language Processing Techniques (2 papers). Nishant Subramani is often cited by papers focused on Topic Modeling (4 papers), Hate Speech and Cyberbullying Detection (2 papers) and Natural Language Processing Techniques (2 papers). Nishant Subramani collaborates with scholars based in United States, Switzerland and China. Nishant Subramani's co-authors include Matthew E. Peters, Margaret Mitchell, Jesse Dodge, Alexandra Sasha Luccioni, Rishi Bommasani, Maraim Masoud, Zeerak Talat, Kyunghyun Cho, Aaron Gokaslan and Kyle Lo and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Findings of the Association for Computational Linguistics: ACL 2022.

In The Last Decade

Nishant Subramani

5 papers receiving 60 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nishant Subramani 39 18 16 8 8 6 64
Jan Pfeifer 44 1.1× 10 0.6× 11 0.7× 4 0.5× 3 0.4× 6 70
Tsutomu Matsumoto 25 0.6× 20 1.1× 2 0.1× 7 0.9× 7 0.9× 5 45
Ruth Fong 44 1.1× 5 0.3× 37 2.3× 1 0.1× 6 0.8× 5 72
Rohan Taori 29 0.7× 2 0.1× 16 1.0× 2 0.3× 5 0.6× 5 44
Charles Lovering 45 1.2× 10 0.6× 10 0.6× 2 0.3× 9 59
Quchen Fu 32 0.8× 29 1.6× 20 1.3× 1 0.1× 3 0.4× 8 60
Lintang Sutawika 193 4.9× 5 0.3× 35 2.2× 4 0.5× 11 1.4× 8 227
Floris Goes 24 0.6× 15 0.8× 29 1.8× 11 1.4× 2 0.3× 8 279
Tong Niu 197 5.1× 12 0.7× 43 2.7× 10 1.3× 2 0.3× 14 217
Maged S. Al-shaibani 62 1.6× 15 0.8× 18 1.1× 5 0.6× 1 0.1× 7 86

Countries citing papers authored by Nishant Subramani

Since Specialization
Citations

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

Fields of papers citing papers by Nishant Subramani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nishant Subramani

This figure shows the co-authorship network connecting the top 25 collaborators of Nishant Subramani. A scholar is included among the top collaborators of Nishant Subramani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nishant Subramani. Nishant Subramani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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