Nishant Subramani

650 total citations
6 papers, 67 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 67 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, France and United Kingdom. Nishant Subramani's co-authors include Jesse Dodge, Alexandra Sasha Luccioni, Margaret Mitchell, Matthew E. Peters, Huu Du Nguyen, Anna Rogers, Zeerak Talat, Samuel R. Bowman, Kyle Lo and Aaron Gokaslan 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

6 papers receiving 62 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nishant Subramani United States	5	40	19	16	8	8	6	67
Rajiv Mathews United States	7	90 2.3×	9 0.5×	6 0.4×	12 1.5×	8 1.0×	13	103
Maximin Coavoux France	4	85 2.1×	5 0.3×	9 0.6×	9 1.1×	6 0.8×	11	98
Tsutomu Matsumoto Japan	2	27 0.7×	20 1.1×	3 0.2×	7 0.9×	7 0.9×	5	48
Aakanksha Naik United States	6	84 2.1×	10 0.5×	12 0.8×	5 0.6×	6 0.8×	19	104
Yafu Li China	6	77 1.9×	3 0.2×	20 1.3×	3 0.4×	5 0.6×	17	108
Peter Hase United States	5	119 3.0×	7 0.4×	32 2.0×	3 0.4×	7 0.9×	7	138
Rafael Rafailov United States	3	37 0.9×	4 0.2×	13 0.8×	1 0.1×	5 0.6×	4	62
Zhouxing Shi United States	7	106 2.6×	14 0.7×	12 0.8×	3 0.4×	1 0.1×	11	116
Ankesh Anand United States	4	32 0.8×	17 0.9×	15 0.9×	8 1.0×		6	51
Quchen Fu United States	5	33 0.8×	30 1.6×	20 1.3×	1 0.1×	3 0.4×	8	62

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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6 of 6 papers shown

1.

Subramani, Nishant, et al.. (2025). An instant medical assistance structure (IMAS) based on artificial intelligence. AIP conference proceedings. 3159. 20038–20038. 2 indexed citations

2.

Subramani, Nishant, Alexandra Sasha Luccioni, Jesse Dodge, & Margaret Mitchell. (2023). Detecting Personal Information in Training Corpora: an Analysis. 208–220. 8 indexed citations

3.

Subramani, Nishant, et al.. (2022). Extracting Latent Steering Vectors from Pretrained Language Models. Findings of the Association for Computational Linguistics: ACL 2022. 566–581. 8 indexed citations

4.

Jernite, Yacine, Huu Du Nguyen, Stella Biderman, et al.. (2022). Data Governance in the Age of Large-Scale Data-Driven Language Technology. arXiv (Cornell University). 2206–2222. 21 indexed citations

5.

Subramani, Nishant, et al.. (2020). Learning Efficient Representations for Fake Speech Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 5859–5866. 24 indexed citations

6.

Subramani, Nishant, Samuel R. Bowman, & Kyunghyun Cho. (2019). Can Unconditional Language Models Recover Arbitrary Sentences. arXiv (Cornell University). 32. 15232–15242. 4 indexed citations

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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