Roberta Răileanu
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Topic Modeling
- Reinforcement Learning in Robotics
- Natural Language Processing Techniques
- Adversarial Robustness in Machine Learning
- Evolutionary Algorithms and Applications
- Explainable Artificial Intelligence (XAI)
Papers in
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- Reinforcement Learning in Robotics 6
- Artificial Intelligence in Games 1
- Adversarial Robustness in Machine Learning 1
- Machine Learning in Healthcare 1
- Data Stream Mining Techniques 1
- Co-authors
- Jason Weston (2 shared papers)Shehzaad Dhuliawala (1 shared paper)Mojtaba Komeili (1 shared paper)Aslı Çelikyılmaz (1 shared paper)Xian Li (1 shared paper)Jing Xu (1 shared paper)Tim Rocktäschel (4 shared papers)Rob Fergus (1 shared paper)
- Journals
- PubMed (2 papers)International Conference on Machine Learning (1 paper)arXiv (Cornell University) (2 papers)UCL Discovery (University College London) (2 papers)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Roberta Răileanu
10 papers receiving 147 citations
Roberta Răileanu's Hit Papers
Peers
Comparison fields: 5 of 54
- Health Informatics 10
- Artificial Intelligence 87
- Computer Vision and Pattern Recognition 23
- Software 4
- Family Practice 1
Countries citing papers authored by Roberta Răileanu
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
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-authors
The 25 scholars most cited alongside Roberta Răileanu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Chain-of-Verification Reduces Hallucination in Large Language Models Hit paper breakdown → | 2024 | 94 |
| 2 | Automatic Data Augmentation for Generalization in Reinforcement Learning | 2021 | 21 |
| 3 | 2020 | 19 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | The NetHack Learning Environment | 2020 | 2 |
| 7 | Fast Adaptation to New Environments via Policy-Dynamics Value Functions | 2020 | 2 |
| 8 | 2024 | 2 | |
| 9 | Learning with AMIGo: Adversarially Motivated Intrinsic Goals | 2021 | 1 |
| 10 | [Acrylic arthroplasty of the elbow]. | 1961 | 1 |
| 11 | Results of thymectomy in myastenia gravis. | 1987 | 1 |
| 12 | 2023 | 0 |
About Roberta Răileanu
Roberta Răileanu is a scholar working on Artificial Intelligence, Management Science and Operations Research, Surgery, Neurology and Rehabilitation, having authored 12 papers that have together received 149 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Artificial Intelligence in Games (1 paper), Elbow and Forearm Trauma Treatment (1 paper), Adversarial Robustness in Machine Learning (1 paper), Human Motion and Animation (1 paper), Machine Learning in Healthcare (1 paper), Surgical Sutures and Adhesives (1 paper) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (87 citations), Computer Vision and Pattern Recognition (23 citations), Software (4 citations) and Family Practice (1 citation). Roberta Răileanu has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Jason Weston, Shehzaad Dhuliawala, Mojtaba Komeili, Aslı Çelikyılmaz, Xian Li, Jing Xu, Tim Rocktäschel, Rob Fergus, Ilya Kostrikov and Denis Yarats. Their work appears in journals such as PubMed, International Conference on Machine Learning, arXiv (Cornell University) and UCL Discovery (University College London).
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.