Chandra Bhagavatula

3.8k total citations
38 papers, 1.2k citations indexed

About

Chandra Bhagavatula is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Chandra Bhagavatula has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Chandra Bhagavatula's work include Topic Modeling (32 papers), Natural Language Processing Techniques (31 papers) and Advanced Text Analysis Techniques (8 papers). Chandra Bhagavatula is often cited by papers focused on Topic Modeling (32 papers), Natural Language Processing Techniques (31 papers) and Advanced Text Analysis Techniques (8 papers). Chandra Bhagavatula collaborates with scholars based in United States, Canada and United Kingdom. Chandra Bhagavatula's co-authors include Yejin Choi, Ronan Le Bras, Keisuke Sakaguchi, Lifu Huang, Ximing Lu, Waleed Ammar, Russell Power, Doug Downey, Sergey Feldman and Jena D. Hwang and has published in prestigious journals such as Communications of the ACM, Computational Linguistics and Nature Machine Intelligence.

In The Last Decade

Chandra Bhagavatula

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chandra Bhagavatula United States	14	1.0k	263	150	49	47	38	1.2k
Daniel Khashabi United States	20	1.3k 1.2×	432 1.6×	152 1.0×	74 1.5×	39 0.8×	46	1.5k
Siva Reddy United Kingdom	18	1.1k 1.0×	273 1.0×	104 0.7×	26 0.5×	36 0.8×	61	1.2k
John Hewitt United States	8	771 0.7×	183 0.7×	86 0.6×	26 0.5×	38 0.8×	11	975
Mikel Artetxe Spain	10	1.4k 1.4×	337 1.3×	115 0.8×	44 0.9×	49 1.0×	35	1.6k
Andrew M. Dai United States	7	1.2k 1.2×	442 1.7×	185 1.2×	56 1.1×	44 0.9×	10	1.4k
Ian Tenney United States	11	791 0.8×	186 0.7×	102 0.7×	29 0.6×	38 0.8×	13	951
Mrinmaya Sachan Switzerland	16	733 0.7×	194 0.7×	96 0.6×	30 0.6×	29 0.6×	93	879
Shashi Narayan United Kingdom	14	1.3k 1.3×	174 0.7×	113 0.8×	53 1.1×	86 1.8×	32	1.5k
Anja Belz United Kingdom	18	1.1k 1.0×	181 0.7×	100 0.7×	19 0.4×	57 1.2×	79	1.2k
Antoine Bosselut United States	13	1.0k 1.0×	259 1.0×	107 0.7×	58 1.2×	55 1.2×	49	1.1k

Countries citing papers authored by Chandra Bhagavatula

Since Specialization

Citations

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

Fields of papers citing papers by Chandra Bhagavatula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandra Bhagavatula

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jiang, Liwei, Jena D. Hwang, Chandra Bhagavatula, et al.. (2025). Investigating machine moral judgement through the Delphi experiment. Nature Machine Intelligence. 7(1). 145–160. 5 indexed citations

Ravichander, Abhilasha, et al.. (2025). Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models. 1962–1978.

Bhagavatula, Chandra, et al.. (2024). Exceptions, Instantiations, and Overgeneralization: Insights into How Language Models Process Generics. Computational Linguistics. 50(4). 1211–1275. 2 indexed citations

Hwang, Jena D., Vivek Srikumar, Ximing Lu, et al.. (2023). ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations. 11253–11271. 8 indexed citations

Hwang, Jena D., et al.. (2023). Penguins Don’t Fly: Reasoning about Generics through Instantiations and Exceptions. Edinburgh Research Explorer (University of Edinburgh). 2618–2635. 5 indexed citations

West, Peter, Ronan Le Bras, Bill Yuchen Lin, et al.. (2023). NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. 1127–1149. 2 indexed citations

Bhagavatula, Chandra, Jena D. Hwang, Doug Downey, et al.. (2023). I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. 9614–9630. 11 indexed citations

West, Peter, Chandra Bhagavatula, Jack Hessel, et al.. (2022). Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4602–4625. 98 indexed citations

Lo, Kyle, Chandra Bhagavatula, Bailey Kuehl, et al.. (2022). ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. 200–213. 3 indexed citations

10.

Jung, Jaehun, Lianhui Qin, Sean Welleck, et al.. (2022). Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. 1266–1279. 52 indexed citations

11.

Liu, Alisa, Maarten Sap, Ximing Lu, et al.. (2021). DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. 6691–6706. 94 indexed citations

12.

Liu, Alisa, Maarten Sap, Ximing Lu, et al.. (2021). On-the-Fly Controlled Text Generation with Experts and Anti-Experts.. arXiv (Cornell University). 5 indexed citations

13.

Lu, Ximing, Peter West, Rowan Zellers, et al.. (2021). NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. 4288–4299. 39 indexed citations

14.

Dong, Yue, Chandra Bhagavatula, Ximing Lu, et al.. (2021). On-the-Fly Attention Modulation for Neural Generation. 1261–1274. 5 indexed citations

15.

Park, Jae Sung, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, & Yejin Choi. (2020). Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image.. arXiv (Cornell University). 2 indexed citations

16.

Malaviya, Chaitanya, Swabha Swayamdipta, Ronan Le Bras, et al.. (2020). G-DAUG: Generative Data Augmentation for Commonsense Reasoning. arXiv (Cornell University). 5 indexed citations

17.

Huang, Lifu, Ronan Le Bras, Chandra Bhagavatula, & Yejin Choi. (2019). Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. 2391–2401. 144 indexed citations

18.

Bhagavatula, Chandra, Sergey Feldman, Russell Power, & Waleed Ammar. (2018). Content-Based Citation Recommendation. 238–251. 98 indexed citations

19.

Noraset, Thanapon, Chandra Bhagavatula, & Doug Downey. (2014). WebSAIL wikifier at ERD 2014. 119–124. 5 indexed citations

20.

Bhagavatula, Chandra, Thanapon Noraset, & Doug Downey. (2013). Methods for exploring and mining tables on Wikipedia. 18–26. 54 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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