Sunipa Dev

2.8k total citations
18 papers, 249 citations indexed

About

Sunipa Dev is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sunipa Dev has authored 18 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Sunipa Dev's work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Hate Speech and Cyberbullying Detection (4 papers). Sunipa Dev is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Hate Speech and Cyberbullying Detection (4 papers). Sunipa Dev collaborates with scholars based in United States, India and United Kingdom. Sunipa Dev's co-authors include Kai-Wei Chang, Jeff M. Phillips, Robin Brewer, Emily Denton, Alex Taylor, Shaun K. Kane, Vivek Srikumar, Akihiro Nishi, Tao Li and Nanyun Peng and has published in prestigious journals such as ACM Transactions on Interactive Intelligent Systems, Edinburgh Research Explorer (University of Edinburgh) and arXiv (Cornell University).

In The Last Decade

Sunipa Dev

16 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunipa Dev United States 7 172 56 21 19 18 18 249
Simone Conia Italy 10 270 1.6× 21 0.4× 35 1.7× 18 0.9× 12 0.7× 25 352
Ryan Jenkins United States 7 65 0.4× 172 3.1× 4 0.2× 38 2.0× 146 8.1× 20 286
Shreya Havaldar United States 4 90 0.5× 11 0.2× 9 0.4× 70 3.7× 33 1.8× 9 177
Linnéa Stenliden Sweden 8 36 0.2× 34 0.6× 30 1.4× 43 2.3× 2 0.1× 37 276
Margarett Clapper United States 2 69 0.4× 14 0.3× 4 0.2× 26 1.4× 16 0.9× 4 149
Philip R. Doyle Ireland 7 203 1.2× 22 0.4× 11 0.5× 26 1.4× 15 0.8× 17 271
Steven R. Wilson United States 8 102 0.6× 6 0.1× 16 0.8× 33 1.7× 7 0.4× 20 178
Yugo Hayashi Japan 7 80 0.5× 20 0.4× 2 0.1× 20 1.1× 8 0.4× 39 174
Iris Heung Yue Yim United Kingdom 8 61 0.4× 28 0.5× 2 0.1× 4 0.2× 11 0.6× 10 235
Hyangeun Ji United States 4 101 0.6× 7 0.1× 5 0.2× 12 0.6× 8 0.4× 7 249

Countries citing papers authored by Sunipa Dev

Since Specialization
Citations

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

Fields of papers citing papers by Sunipa Dev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunipa Dev

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

All Works

18 of 18 papers shown
1.
Lertvittayakumjorn, Piyawat, David A Kinney, Vinodkumar Prabhakaran, Donald Martin, & Sunipa Dev. (2025). Towards Geo-Culturally Grounded LLM Generations. 313–330.
2.
Robinson, Kevin, et al.. (2024). SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes. 842–854. 2 indexed citations
3.
Prabhakaran, Vinodkumar, Emily Denton, Sarah Laszlo, et al.. (2024). ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. 12333–12347. 5 indexed citations
4.
Dev, Sunipa, et al.. (2024). MisgenderMender: A Community-Informed Approach to Interventions for Misgendering. 7538–7558. 2 indexed citations
5.
Dev, Sunipa, et al.. (2023). MISGENDERED: Limits of Large Language Models in Understanding Pronouns. 5352–5367. 4 indexed citations
6.
Kane, Shaun K., et al.. (2023). "I wouldn't say offensive but...": Disability-Centered Perspectives on Large Language Models. Edinburgh Research Explorer (University of Edinburgh). 205–216. 67 indexed citations
7.
Davani, Aida Mostafazadeh, et al.. (2023). SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models. 9851–9870. 5 indexed citations
8.
Dev, Sunipa, et al.. (2023). Building Stereotype Repositories with Complementary Approaches for Scale and Depth. 84–90. 4 indexed citations
9.
Dev, Sunipa, et al.. (2023). The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks. 1373–1386. 4 indexed citations
10.
Dev, Sunipa, Jeff M. Phillips, Vivek Srikumar, et al.. (2023). VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations. ACM Transactions on Interactive Intelligent Systems. 14(1). 1–34. 6 indexed citations
11.
Ahmad, Md. Wasi, et al.. (2022). Representation Learning for Resource-Constrained Keyphrase Generation. arXiv (Cornell University). 700–716. 1 indexed citations
12.
Dev, Sunipa, et al.. (2022). Re-contextualizing Fairness in NLP: The Case of India. 727–740. 8 indexed citations
13.
Dev, Sunipa, Emily Sheng, Jieyu Zhao, et al.. (2022). On Measures of Biases and Harms in NLP. 246–267. 29 indexed citations
14.
Dev, Sunipa, et al.. (2022). Socially Aware Bias Measurements for Hindi Language Representations. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 1041–1052. 11 indexed citations
15.
Dev, Sunipa, et al.. (2021). Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1968–1994. 79 indexed citations
16.
Dev, Sunipa, et al.. (2021). A Visual Tour of Bias Mitigation Techniques for Word Representations. 2019. 4064–4065. 2 indexed citations
17.
Dev, Sunipa, Tao Li, Jeff M. Phillips, & Vivek Srikumar. (2021). OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5034–5050. 20 indexed citations
18.
Sridhar, Rajeswari, et al.. (2016). Automatic Tamil Lyric Generation based on neuro-linguistics. 1–9.

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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