Roberta Răileanu

1.4k total citations · 1 hit paper
11 papers, 114 citations indexed

About

Roberta Răileanu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Neurology. According to data from OpenAlex, Roberta Răileanu has authored 11 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 1 paper in Neurology. Recurrent topics in Roberta Răileanu's work include Reinforcement Learning in Robotics (6 papers), Adaptive Dynamic Programming Control (1 paper) and Myasthenia Gravis and Thymoma (1 paper). Roberta Răileanu is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Adaptive Dynamic Programming Control (1 paper) and Myasthenia Gravis and Thymoma (1 paper). Roberta Răileanu collaborates with scholars based in Israel, United States and Switzerland. Roberta Răileanu's co-authors include Tim Rocktäschel, Jing Xu, Aslı Çelikyılmaz, Xian Li, Jason Weston, Shehzaad Dhuliawala, Mojtaba Komeili, Denis Yarats, Rob Fergus and Ilya Kostrikov and has published in prestigious journals such as arXiv (Cornell University), PubMed and International Conference on Machine Learning.

In The Last Decade

Roberta Răileanu

10 papers receiving 112 citations

Hit Papers

Chain-of-Verification Reduces Hallucination in Large Lang... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberta Răileanu Israel 4 76 20 9 8 7 11 114
Prashan Madumal Australia 4 155 2.0× 16 0.8× 7 0.8× 14 1.8× 13 1.9× 7 186
Jack W. Rae United States 6 138 1.8× 48 2.4× 8 0.9× 5 0.6× 8 1.1× 10 184
Arjun Akula United States 8 121 1.6× 48 2.4× 4 0.4× 10 1.3× 5 0.7× 14 159
Hongying Zan China 6 122 1.6× 15 0.8× 3 0.3× 12 1.5× 5 0.7× 50 169
Aman Madaan United States 5 107 1.4× 18 0.9× 4 0.4× 5 0.6× 9 1.3× 9 143
Daniel Hesslow France 2 139 1.8× 24 1.2× 3 0.3× 23 2.9× 7 1.0× 4 194
Ales Kubicek Switzerland 1 102 1.3× 25 1.3× 3 0.3× 10 1.3× 5 0.7× 2 161
Piotr Nyczyk Switzerland 1 102 1.3× 25 1.3× 3 0.3× 10 1.3× 5 0.7× 2 161
Amelia Glaese United States 4 100 1.3× 15 0.8× 3 0.3× 17 2.1× 5 0.7× 6 145
Zhaohan Daniel Guo United States 4 75 1.0× 14 0.7× 12 1.3× 6 0.9× 5 91

Countries citing papers authored by Roberta Răileanu

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Răileanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberta Răileanu

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

All Works

11 of 11 papers shown
1.
Weston, Jason, et al.. (2024). TOOLVERIFIER: Generalization to New Tools via Self-Verification. 5026–5041. 1 indexed citations
2.
Dhuliawala, Shehzaad, Mojtaba Komeili, Jing Xu, et al.. (2024). Chain-of-Verification Reduces Hallucination in Large Language Models. 3563–3578. 64 indexed citations breakdown →
3.
Togelius, Julian, et al.. (2024). DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft. 1–15. 3 indexed citations
4.
Foerster, Jakob, Eric Hambro, Minqi Jiang, et al.. (2024). Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. 69747–69786. 2 indexed citations
5.
Răileanu, Roberta, et al.. (2023). On the Importance of Exploration for Generalization in Reinforcement Learning. 12951–12986.
6.
Răileanu, Roberta, et al.. (2021). Learning with AMIGo: Adversarially Motivated Intrinsic Goals. UCL Discovery (University College London). 1 indexed citations
7.
Răileanu, Roberta, et al.. (2021). Automatic Data Augmentation for Generalization in Reinforcement Learning. arXiv (Cornell University). 34. 20 indexed citations
8.
Răileanu, Roberta, et al.. (2020). Fast Adaptation to New Environments via Policy-Dynamics Value Functions. International Conference on Machine Learning. 1. 7920–7931. 2 indexed citations
9.
Küttler, Heinrich, Nantas Nardelli, Alexander Miller, et al.. (2020). The NetHack Learning Environment. UCL Discovery (University College London). 33. 7671–7684. 2 indexed citations
10.
Răileanu, Roberta & Tim Rocktäschel. (2020). RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. arXiv (Cornell University). 18 indexed citations
11.
Răileanu, Roberta, et al.. (1987). Results of thymectomy in myastenia gravis.. PubMed. 24(4). 257–61. 1 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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