Sailik Sengupta

508 total citations
19 papers, 110 citations indexed

About

Sailik Sengupta is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Sailik Sengupta has authored 19 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in Sailik Sengupta's work include Topic Modeling (4 papers), Network Security and Intrusion Detection (4 papers) and AI-based Problem Solving and Planning (4 papers). Sailik Sengupta is often cited by papers focused on Topic Modeling (4 papers), Network Security and Intrusion Detection (4 papers) and AI-based Problem Solving and Planning (4 papers). Sailik Sengupta collaborates with scholars based in United States, Switzerland and India. Sailik Sengupta's co-authors include Subbarao Kambhampati, Satya Gautam Vadlamudi, Tathagata Chakraborti, Adam Doupé, Gail‐Joon Ahn, Ziming Zhao, Lydia Manikonda, Sarath Sreedharan, Amit Konar and R. Janarthanan and has published in prestigious journals such as Artificial Intelligence, Human-Computer Interaction and IEEE Transactions on Human-Machine Systems.

In The Last Decade

Sailik Sengupta

16 papers receiving 100 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sailik Sengupta United States	6	54	40	30	24	19	19	110
Rajvardhan Oak United States	6	102 1.9×	81 2.0×	44 1.5×	51 2.1×	19 1.0×	17	172
A. Santhanavijayan India	8	110 2.0×	23 0.6×	104 3.5×	25 1.0×	20 1.1×	30	180
Varun Kumar United States	8	119 2.2×	14 0.3×	49 1.6×	9 0.4×	7 0.4×	19	179
Ahmed Moustafa Japan	6	178 3.3×	32 0.8×	41 1.4×	8 0.3×	15 0.8×	18	217
Shijie Wang China	4	92 1.7×	19 0.5×	45 1.5×	6 0.3×	16 0.8×	8	159
Balasubramaniam Srinivasan Australia	6	47 0.9×	98 2.5×	26 0.9×	40 1.7×	39 2.1×	22	161
Nils Blach Switzerland	3	106 2.0×	15 0.4×	22 0.7×	5 0.2×	32 1.7×	4	173
David Broneske Germany	7	51 0.9×	100 2.5×	62 2.1×	47 2.0×	25 1.3×	64	182
Maura Pintor Italy	7	85 1.6×	22 0.6×	25 0.8×	35 1.5×	21 1.1×	20	143

Countries citing papers authored by Sailik Sengupta

Since Specialization

Citations

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

Fields of papers citing papers by Sailik Sengupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sailik Sengupta

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

All Works

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19 of 19 papers shown

Sengupta, Sailik, et al.. (2025). DeAL: Decoding-time Alignment for Large Language Models. 26280–26300.

Sengupta, Sailik, et al.. (2024). FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs. 517–539.

Sengupta, Sailik, et al.. (2024). A Game-Theoretic Model of Trust in Human–Robot Teaming: Guiding Human Observation Strategy for Monitoring Robot Behavior. IEEE Transactions on Human-Machine Systems. 55(1). 37–47. 1 indexed citations

Sengupta, Sailik, et al.. (2024). ‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10243–10251. 1 indexed citations

Sengupta, Sailik, et al.. (2023). Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining. 1375–1391. 1 indexed citations

Jean, Sébastien, et al.. (2023). Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing. 7196–7207. 2 indexed citations

Sreedharan, Sarath, et al.. (2022). RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions. Proceedings of the International Conference on Automated Planning and Scheduling. 32. 508–517. 1 indexed citations

Sreedharan, Sarath, et al.. (2021). RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. Proceedings of the AAAI Conference on Artificial Intelligence. 35(18). 16051–16053. 4 indexed citations

Sengupta, Sailik, et al.. (2021). Software Deception Steering through Version Emulation. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations

10.

Sengupta, Sailik, et al.. (2021). Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses. Artificial Intelligence. 304. 103652–103652. 21 indexed citations

11.

Sengupta, Sailik, et al.. (2020). RADAR: automated task planning for proactive decision support. Human-Computer Interaction. 35(5-6). 387–412. 15 indexed citations

12.

Sengupta, Sailik, Tathagata Chakraborti, & Subbarao Kambhampati. (2017). Securing Deep Neural Nets against Adversarial Attacks with Moving Target Defense.. arXiv (Cornell University). 4 indexed citations

13.

Sengupta, Sailik. (2017). Moving Target Defense: A Symbiotic Framework for AI & Security. Adaptive Agents and Multi-Agents Systems. 1861–1862. 2 indexed citations

14.

Sengupta, Sailik, et al.. (2017). A Game Theoretic Approach to Strategy Generation for Moving Target Defense in Web Applications. 178–186. 1 indexed citations

15.

Sengupta, Sailik, Satya Gautam Vadlamudi, Subbarao Kambhampati, et al.. (2017). A Game Theoretic Approach to Strategy Generation for Moving Target Defense in Web Applications. Adaptive Agents and Multi-Agents Systems. 178–186. 19 indexed citations

16.

Sengupta, Sailik, Tathagata Chakraborti, Sarath Sreedharan, Satya Gautam Vadlamudi, & Subbarao Kambhampati. (2017). RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning.. 269–276. 15 indexed citations

17.

Vadlamudi, Satya Gautam, Sailik Sengupta, Ziming Zhao, et al.. (2016). Moving Target Defense for Web Applications using Bayesian Stackelberg Games: (Extended Abstract). 1377–1378. 12 indexed citations

18.

Vadlamudi, Satya Gautam, Sailik Sengupta, Ziming Zhao, et al.. (2016). Moving Target Defense for Web Applications using Bayesian Stackelberg Games: (Extended Abstract). Adaptive Agents and Multi-Agents Systems. 1377–1378. 4 indexed citations

19.

Sengupta, Sailik, Soham De, Amit Konar, & R. Janarthanan. (2011). An improved fuzzy clustering method using modified Fukuyama-Sugeno cluster validity index. 269–274. 6 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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