Arunesh Sinha

1.8k total citations
49 papers, 625 citations indexed

About

Arunesh Sinha is a scholar working on Civil and Structural Engineering, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Arunesh Sinha has authored 49 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Civil and Structural Engineering, 15 papers in Artificial Intelligence and 14 papers in Management Science and Operations Research. Recurrent topics in Arunesh Sinha's work include Infrastructure Resilience and Vulnerability Analysis (17 papers), Network Security and Intrusion Detection (9 papers) and Information and Cyber Security (9 papers). Arunesh Sinha is often cited by papers focused on Infrastructure Resilience and Vulnerability Analysis (17 papers), Network Security and Intrusion Detection (9 papers) and Information and Cyber Security (9 papers). Arunesh Sinha collaborates with scholars based in United States, Singapore and Netherlands. Arunesh Sinha's co-authors include Michael P. Wellman, Milind Tambe, Patrick McDaniel, Nicolas Papernot, Christopher Kiekintveld, Fei Fang, Thanh H. Nguyen, Bo An, Matthew Brown and Chao Zhang and has published in prestigious journals such as IBM Journal of Research and Development, Lecture notes in computer science and AI Magazine.

In The Last Decade

Arunesh Sinha

46 papers receiving 599 citations

Peers

Countries citing papers authored by Arunesh Sinha

Since Specialization

Citations

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

Fields of papers citing papers by Arunesh Sinha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arunesh Sinha

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets 2024 ·Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, (unknown), Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang	4
2	Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Arunesh Sinha, Pradeep Varakantham	0
3	Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds 2023 ·Pervasive and Mobile Computing ·Hai Bang Truong, (unknown), Shubham Jain, Arunesh Sinha, JeongGil Ko, Rajesh Krishna Balan	2
4	Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning 2023 ·(unknown), Jack K. Wolf, (unknown), (unknown), (unknown), (unknown), (unknown), Arunesh Sinha, Thanh H. Nguyen	2
5	Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Tien Mai, Arunesh Sinha	1
6	Curiosity-Driven and Victim-Aware Adversarial Policies 2022 ·Chen Gong, Zhou Yang, (unknown), Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan	12
7	Measuring data collection diligence for community healthcare 2021 ·Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) ·(unknown), (unknown), Arunesh Sinha, (unknown), (unknown), (unknown), (unknown), (unknown), Milind Tambe	2
8	Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty 2020 ·Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) ·(unknown), Arunesh Sinha, Sze‐chuan Suen, (unknown), Alpan Raval, Milind Tambe	1
9	Incentivizing Collaboration in a Competition 2019 ·Adaptive Agents and Multi-Agents Systems ·Arunesh Sinha, Michael P. Wellman	3
10	Deception in Finitely Repeated Security Games 2019 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Thanh H. Nguyen, (unknown), Arunesh Sinha, Michael P. Wellman	14
11	Deceitful Attacks in Security Games. 2018 ·National Conference on Artificial Intelligence ·Thanh H. Nguyen, Michael P. Wellman, Arunesh Sinha	1
12	Audit Games (CMU-CyLab-13-004) 2018 ·Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) ·Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha	1
13	SoK: Towards the Science of security and privacy in machine learning 2018 ·Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) ·Nicolas Papernot, Patrick McDaniel, Arunesh Sinha, Michael P. Wellman	171
14	CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection 2016 ·Adaptive Agents and Multi-Agents Systems ·Thanh H. Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, (unknown), Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale	32
15	One size does not fit all: a game-theoretic approach for dynamically and effectively screening for Threats 2016 ·National Conference on Artificial Intelligence ·Matthew Brown, Arunesh Sinha, (unknown), Milind Tambe	21
16	Protecting wildlife under imperfect observation 2016 ·National Conference on Artificial Intelligence ·Thanh H. Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, (unknown), Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale	1
17	Learning, Predicting and Planning against Crime: Demonstration Based on Real Urban Crime Data (Demonstration) 2015 ·Adaptive Agents and Multi-Agents Systems ·Chao Zhang, Manish Jain, (unknown), Arunesh Sinha, Milind Tambe	3
18	Keeping Pace with Criminals: Designing Patrol Allocation Against Adaptive Opportunistic Criminals 2015 ·Adaptive Agents and Multi-Agents Systems ·Chao Zhang, Arunesh Sinha, Milind Tambe	21
19	Incentivizing peer grading in MOOCS: an audit game approach 2015 ·International Conference on Artificial Intelligence ·(unknown), Anupam Datta, Arunesh Sinha, Yair Zick	3
20	Audit games 2013 ·International Joint Conference on Artificial Intelligence ·Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha	8

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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