Chinnadhurai Sankar

699 total citations
9 papers, 155 citations indexed

About

Chinnadhurai Sankar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Chinnadhurai Sankar has authored 9 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Chinnadhurai Sankar's work include Topic Modeling (5 papers), Speech and dialogue systems (4 papers) and Multimodal Machine Learning Applications (2 papers). Chinnadhurai Sankar is often cited by papers focused on Topic Modeling (5 papers), Speech and dialogue systems (4 papers) and Multimodal Machine Learning Applications (2 papers). Chinnadhurai Sankar collaborates with scholars based in United States, Canada and Algeria. Chinnadhurai Sankar's co-authors include Ben Goodrich, Bill Byrne, Arvind Neelakantan, Amit Dubey, Daniel Duckworth, Semih Yavuz, Yoshua Bengio, Eugene Vorontsov, Samira Ebrahimi Kahou and Andrew Thangaraj and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Chinnadhurai Sankar

9 papers receiving 143 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chinnadhurai Sankar United States	6	129	30	10	6	6	9	155
Shang‐Yu Su Taiwan	6	132 1.0×	38 1.3×	8 0.8×	6 1.0×	5 0.8×	18	149
Mengzhou Xia United States	7	137 1.1×	58 1.9×	9 0.9×	12 2.0×	5 0.8×	13	164
Xiaoyu Xing China	4	100 0.8×	17 0.6×	24 2.4×	12 2.0×	6 1.0×	7	121
Mohamed Farouk Abdel Hady Germany	6	116 0.9×	47 1.6×	7 0.7×	5 0.8×	6 1.0×	12	139
Yonglin Hao China	5	103 0.8×	67 2.2×	10 1.0×	12 2.0×	7 1.2×	17	124
Patrick Derbez France	6	77 0.6×	53 1.8×	10 1.0×	3 0.5×	7 1.2×	19	85
Itai Dinur Israel	6	49 0.4×	29 1.0×	6 0.6×	7 1.2×	11 1.8×	17	63
Yaowei Zheng China	5	125 1.0×	26 0.9×	6 0.6×	20 3.3×	8 1.3×	7	160
Toru Akishita Denmark	4	96 0.7×	70 2.3×	10 1.0×	8 1.3×	12 2.0×	7	114
Maksym Andriushchenko Germany	5	111 0.9×	33 1.1×	14 1.4×	4 0.7×	12 2.0×	9	122

Countries citing papers authored by Chinnadhurai Sankar

Since Specialization

Citations

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

Fields of papers citing papers by Chinnadhurai Sankar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chinnadhurai Sankar

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

All Works

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9 of 9 papers shown

Sankar, Chinnadhurai, Christopher Lin, Kaushik Ram Sadagopan, et al.. (2022). Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics. 5345–5359. 1 indexed citations

Chen, Zhiyu, et al.. (2022). KETOD: Knowledge-Enriched Task-Oriented Dialogue. 2581–2593. 9 indexed citations

Qian, Kun, Satwik Kottur, Ahmad Beirami, et al.. (2022). Database Search Results Disambiguation for Task-Oriented Dialog Systems. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 1158–1173. 5 indexed citations

Lê, Hung, Chinnadhurai Sankar, Seungwhan Moon, et al.. (2021). DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue. 5651–5665. 6 indexed citations

Kottur, Satwik, Chinnadhurai Sankar, Yu Zhou, & Alborz Geramifard. (2021). DialogStitch: Synthetic Deeper and Multi-Context Task-Oriented Dialogs. 21–26. 2 indexed citations

Sankar, Chinnadhurai, Sujith Ravi, & Zornitsa Kozareva. (2019). On the Robustness of Projection Neural Networks For Efficient Text Representation: An Empirical Study.. arXiv (Cornell University). 2 indexed citations

Byrne, Bill, Chinnadhurai Sankar, Arvind Neelakantan, et al.. (2019). Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. 4515–4524. 92 indexed citations

Sankar, Chinnadhurai, et al.. (2019). Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3280–3287. 33 indexed citations

Thangaraj, Andrew & Chinnadhurai Sankar. (2011). Quasicyclic MDS codes for distributed storage with efficient exact repair. 45–49. 5 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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