Danish Pruthi

633 total citations
12 papers, 231 citations indexed

About

Danish Pruthi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Danish Pruthi has authored 12 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Sociology and Political Science. Recurrent topics in Danish Pruthi's work include Topic Modeling (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Danish Pruthi is often cited by papers focused on Topic Modeling (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Danish Pruthi collaborates with scholars based in United States, India and Germany. Danish Pruthi's co-authors include Zachary C. Lipton, Bhuwan Dhingra, Graham Neubig, William W. Cohen, R. Venkatesh Babu, Livio Baldini Soares, Michael J. Collins, André F. T. Martins, Siddhant Arora and Patrick Fernandes and has published in prestigious journals such as Transactions of the Association for Computational Linguistics and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Danish Pruthi

9 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danish Pruthi United States 6 214 43 29 17 16 12 231
Sumanth Doddapaneni India 7 179 0.8× 27 0.6× 38 1.3× 10 0.6× 8 0.5× 14 208
Jiehang Zeng China 5 122 0.6× 35 0.8× 14 0.5× 14 0.8× 14 0.9× 5 130
Gözde Gül Şahin Türkiye 7 183 0.9× 22 0.5× 59 2.0× 19 1.1× 9 0.6× 28 245
Binxing Jiao China 7 113 0.5× 18 0.4× 51 1.8× 24 1.4× 8 0.5× 11 157
Saeed Mahloujifar United States 7 124 0.6× 23 0.5× 26 0.9× 5 0.3× 7 0.4× 14 139
Tong Niu United States 6 199 0.9× 12 0.3× 44 1.5× 13 0.8× 10 0.6× 14 220
Giovanni Cherubin United Kingdom 5 124 0.6× 21 0.5× 21 0.7× 14 0.8× 11 0.7× 9 135
Payal Bajaj United States 6 84 0.4× 19 0.4× 42 1.4× 27 1.6× 21 1.3× 11 127
Chunting Zhou United States 10 302 1.4× 22 0.5× 111 3.8× 16 0.9× 4 0.3× 20 351
Laith H. Baniata South Korea 8 124 0.6× 15 0.3× 24 0.8× 20 1.2× 10 0.6× 23 169

Countries citing papers authored by Danish Pruthi

Since Specialization
Citations

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

Fields of papers citing papers by Danish Pruthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danish Pruthi

This figure shows the co-authorship network connecting the top 25 collaborators of Danish Pruthi. A scholar is included among the top collaborators of Danish Pruthi 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 Danish Pruthi. Danish Pruthi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Singh, Sameer, et al.. (2024). Downstream Trade-offs of a Family of Text Watermarks. 14039–14053. 1 indexed citations
3.
Rastogi, Shantanu & Danish Pruthi. (2024). Revisiting the Robustness of Watermarking to Paraphrasing Attacks. 18100–18110.
4.
Donini, Michele, et al.. (2023). Geographical Erasure in Language Generation. 12310–12324. 1 indexed citations
5.
Pruthi, Danish, et al.. (2023). Learning the Legibility of Visual Text Perturbations. 3260–3273.
6.
Kolter, J. Zico, et al.. (2023). Model-tuning Via Prompts Makes NLP Models Adversarially Robust. 9266–9286. 5 indexed citations
7.
Babu, R. Venkatesh, et al.. (2023). Inspecting the Geographical Representativeness of Images from Text-to-Image Models. 5113–5124. 8 indexed citations
8.
Arora, Siddhant, Danish Pruthi, Norman Sadeh, et al.. (2022). Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. Proceedings of the AAAI Conference on Artificial Intelligence. 36(5). 5277–5285. 11 indexed citations
9.
Pruthi, Danish, Bhuwan Dhingra, Livio Baldini Soares, et al.. (2022). Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?. Transactions of the Association for Computational Linguistics. 10. 359–375. 24 indexed citations
10.
Fernandes, Patrick, et al.. (2021). Do Context-Aware Translation Models Pay the Right Attention?. 788–801. 13 indexed citations
11.
Pruthi, Danish, Bhuwan Dhingra, & Zachary C. Lipton. (2019). Combating Adversarial Misspellings with Robust Word Recognition. 5582–5591. 164 indexed citations
12.
Pruthi, Danish, et al.. (2015). Maxxyt: An Autonomous Wearable Device for Real-Time Tracking of a Wide Range of Exercises. 137–141. 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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2026