Ritesh Noothigattu

497 total citations
12 papers, 247 citations indexed

About

Ritesh Noothigattu is a scholar working on Artificial Intelligence, Safety Research and Information Systems. According to data from OpenAlex, Ritesh Noothigattu has authored 12 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Safety Research and 3 papers in Information Systems. Recurrent topics in Ritesh Noothigattu's work include Ethics and Social Impacts of AI (4 papers), Reinforcement Learning in Robotics (3 papers) and Advanced Bandit Algorithms Research (2 papers). Ritesh Noothigattu is often cited by papers focused on Ethics and Social Impacts of AI (4 papers), Reinforcement Learning in Robotics (3 papers) and Advanced Bandit Algorithms Research (2 papers). Ritesh Noothigattu collaborates with scholars based in United States, United Kingdom and India. Ritesh Noothigattu's co-authors include Ariel D. Procaccia, Edmond Awad, Pradeep Ravikumar, Snehalkumar S. Gaikwad, Iyad Rahwan, Sohan Dsouza, Anson Kahng, Alexandros Psomas, Min Kyung Lee and Murray Campbell and has published in prestigious journals such as IBM Journal of Research and Development, Proceedings of the ACM on Human-Computer Interaction and arXiv (Cornell University).

In The Last Decade

Ritesh Noothigattu

12 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ritesh Noothigattu United States 6 149 105 57 46 31 12 247
Tianling Yang Germany 5 133 0.9× 80 0.8× 25 0.4× 69 1.5× 23 0.7× 8 265
Jamila Smith-Loud United States 2 283 1.9× 220 2.1× 38 0.7× 55 1.2× 74 2.4× 2 436
Bogdana Rakova United States 6 159 1.1× 69 0.7× 42 0.7× 43 0.9× 29 0.9× 9 258
Jonathan Stray United States 6 49 0.3× 78 0.7× 16 0.3× 88 1.9× 24 0.8× 11 251
Agathe Balayn Netherlands 10 108 0.7× 147 1.4× 9 0.2× 29 0.6× 30 1.0× 22 248
Kate Vredenburgh United Kingdom 5 141 0.9× 63 0.6× 41 0.7× 40 0.9× 30 1.0× 9 237
Kevin R. McKee United Kingdom 9 71 0.5× 70 0.7× 26 0.5× 65 1.4× 8 0.3× 16 191
Eleonora Viganò Switzerland 6 128 0.9× 103 1.0× 42 0.7× 42 0.9× 30 1.0× 14 253
Rashidul Islam United States 7 106 0.7× 134 1.3× 13 0.2× 29 0.6× 64 2.1× 18 227
Samir Passi United States 6 128 0.9× 90 0.9× 9 0.2× 64 1.4× 52 1.7× 9 283

Countries citing papers authored by Ritesh Noothigattu

Since Specialization
Citations

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

Fields of papers citing papers by Ritesh Noothigattu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritesh Noothigattu

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

All Works

12 of 12 papers shown
1.
Noothigattu, Ritesh, et al.. (2021). Inverse Reinforcement Learning From Like-Minded Teachers. Proceedings of the AAAI Conference on Artificial Intelligence. 35(10). 9197–9204. 2 indexed citations
2.
Noothigattu, Ritesh, Dominik Peters, & Ariel D. Procaccia. (2020). Axioms for Learning from Pairwise Comparisons. Neural Information Processing Systems. 33. 17745–17754. 1 indexed citations
3.
Balcan, Maria-Florina, Travis Dick, Ritesh Noothigattu, & Ariel D. Procaccia. (2019). Envy-Free Classification. arXiv (Cornell University). 32. 1240–1250. 3 indexed citations
4.
Kahng, Anson, Min Kyung Lee, Ritesh Noothigattu, Ariel D. Procaccia, & Alexandros Psomas. (2019). Statistical Foundations of Virtual Democracy. International Conference on Machine Learning. 3173–3182. 5 indexed citations
5.
Lee, Min Kyung, et al.. (2019). WeBuildAI. Proceedings of the ACM on Human-Computer Interaction. 3(CSCW). 1–35. 102 indexed citations
6.
Noothigattu, Ritesh, Djallel Bouneffouf, Nicholas Mattei, et al.. (2019). Teaching AI agents ethical values using reinforcement learning and policy orchestration. IBM Journal of Research and Development. 63(4/5). 2:1–2:9. 21 indexed citations
7.
Noothigattu, Ritesh, Djallel Bouneffouf, Nicholas Mattei, et al.. (2019). Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration. 6377–6381. 13 indexed citations
8.
Noothigattu, Ritesh, Nihar B. Shah, & Ariel D. Procaccia. (2018). Choosing How to Choose Papers. arXiv (Cornell University). 1 indexed citations
9.
Yadav, Amulya, et al.. (2018). Please be an Influencer?: Contingency-Aware Influence Maximization. Lancaster EPrints (Lancaster University). 1423–1431. 1 indexed citations
10.
Noothigattu, Ritesh, Snehalkumar S. Gaikwad, Edmond Awad, et al.. (2018). A Voting-Based System for Ethical Decision Making. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 82 indexed citations
11.
Noothigattu, Ritesh, Snehalkumar S. Gaikwad, Edmond Awad, et al.. (2017). A Voting-Based System for Ethical Decision Making. arXiv (Cornell University). 32(1). 1587–1594. 6 indexed citations
12.
Noothigattu, Ritesh, et al.. (2016). OGA-UCT: On-the-Go Abstractions in UCT. Proceedings of the International Conference on Automated Planning and Scheduling. 26. 29–37. 10 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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