Dheeru Dua

1.7k total citations
12 papers, 312 citations indexed

About

Dheeru Dua is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dheeru Dua has authored 12 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Dheeru Dua's work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (6 papers). Dheeru Dua is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (6 papers). Dheeru Dua collaborates with scholars based in United States and United Kingdom. Dheeru Dua's co-authors include Sameer Singh, Matt Gardner, Pradeep Dasigi, Gabriel Stanovsky, Yizhong Wang, Zhengli Zhao, Shruti Bhosale, Mike Lewis, Vedanuj Goswami and Angela Fan and has published in prestigious journals such as Theory and applications of categories, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Dheeru Dua

11 papers receiving 292 citations

Peers

Dheeru Dua

AI

CVPR

IS

SP

SOFTW

Scott Yih United States

Ruiying Geng China

Zheng Yong United States

Jingtao Zhan China

Sumanth Doddapaneni India

Shuangzhi Wu China

Guanghui Qin United States

Yonatan Oren United States

Ohad Rubin Israel

Jindřich Helcl Czechia

Scott Yih United States

Dheeru Dua

272 ×0.9

AI

90 ×0.9

CVPR

48 ×2.1

IS

10 ×0.6

SP

4 ×0.8

SOFTW

Citations per year, relative to Dheeru Dua Dheeru Dua (= 1×) peers Scott Yih

Countries citing papers authored by Dheeru Dua

Since Specialization

Citations

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

Fields of papers citing papers by Dheeru Dua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dheeru Dua

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

All Works

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12 of 12 papers shown

1.

Dua, Dheeru, et al.. (2023). To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. 14429–14446. 2 indexed citations

2.

Dua, Dheeru, et al.. (2022). Successive Prompting for Decomposing Complex Questions. 1251–1265. 22 indexed citations

3.

Dua, Dheeru, Shruti Bhosale, Vedanuj Goswami, et al.. (2022). Tricks for Training Sparse Translation Models. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3340–3345. 9 indexed citations

4.

Dua, Dheeru, Cícero Nogueira dos Santos, Patrick Ng, et al.. (2021). Generative Context Pair Selection for Multi-hop Question Answering. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 7009–7015. 2 indexed citations

5.

Dua, Dheeru, et al.. (2020). Dynamic Sampling Strategies for Multi-Task Reading Comprehension. 920–924. 11 indexed citations

6.

Dua, Dheeru, Sameer Singh, & Matt Gardner. (2020). Benefits of Intermediate Annotations in Reading Comprehension. 5627–5634. 14 indexed citations

7.

Ning, Qiang, Hao Wu, Pradeep Dasigi, et al.. (2020). Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ. 127–134. 9 indexed citations

8.

Dua, Dheeru, Yizhong Wang, Pradeep Dasigi, et al.. (2019). . 2368–2378. 170 indexed citations

9.

KANG, J., Robert Logan, Dheeru Dua, et al.. (2019). . 826–838. 4 indexed citations

10.

Dua, Dheeru, et al.. (2019). Comprehensive Multi-Dataset Evaluation of Reading Comprehension. 147–153. 4 indexed citations

11.

Zhao, Zhengli, Dheeru Dua, & Sameer Singh. (2017). Generating Natural Adversarial Examples. International Conference on Learning Representations. 65 indexed citations

12.

Liu, Zhengzhong, Jun Araki, Dheeru Dua, Teruko Mitamura, & Eduard Hovy. (2015). CMU-LTI at KBP 2015 Event Track.. Theory and applications of categories.

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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