Osbert Bastani
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Health Informatics top 5%
Papers in
-
- Reinforcement Learning in Robotics 9
- Adversarial Robustness in Machine Learning 8
- Explainable Artificial Intelligence (XAI) 7
- Topic Modeling 7
-
- Software Engineering Research 12
- Co-authors
- Himabindu Lakkaraju (2 shared papers)Işıl Dillig (6 shared papers)Alex Aiken (8 shared papers)Saswat Anand (6 shared papers)Yu Feng (5 shared papers)Ruben Martins (3 shared papers)Shuo Li (4 shared papers)Armando Solar-Lezama (5 shared papers)
- Journals
- Proceedings of the ACM on Programming Languages (5 papers)ACM SIGPLAN Notices (4 papers)Management Science (1 paper)ACM Transactions on Embedded Computing Systems (1 paper)Theory and applications of categories (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Osbert Bastani
47 papers receiving 653 citations
Peers
Comparison fields: 5 of 74
- Software 208
- Health Informatics 29
- Signal Processing 136
- Artificial Intelligence 329
- Information Systems 183
Countries citing papers authored by Osbert Bastani
This map shows the geographic impact of Osbert Bastani'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 Osbert Bastani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Osbert Bastani more than expected).
Fields of papers citing papers by Osbert Bastani
This network shows the impact of papers produced by Osbert Bastani. 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 Osbert Bastani. The network helps show where Osbert Bastani may publish in the future.
Co-authors
The 25 scholars most cited alongside Osbert Bastani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 105 | |
| 2 | 2018 | 56 | |
| 3 | 2017 | 53 | |
| 4 | 2020 | 38 | |
| 5 | 2019 | 30 | |
| 6 | 2016 | 30 | |
| 7 | 2017 | 29 | |
| 8 | 2014 | 26 | |
| 9 | 2018 | 24 | |
| 10 | Verifiable Reinforcement Learning via Policy Extraction | 2018 | 22 |
| 11 | 2024 | 21 | |
| 12 | 2021 | 21 | |
| 13 | 2019 | 18 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 2018 | 14 | |
| 18 | 2024 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2021 | 10 |
About Osbert Bastani
Osbert Bastani is a scholar working on Artificial Intelligence, Information Systems, Software, Signal Processing and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 668 indexed citations. Recurring topics across this work include Software Engineering Research (12 papers), Software Testing and Debugging Techniques (11 papers), Reinforcement Learning in Robotics (9 papers), Adversarial Robustness in Machine Learning (8 papers), Advanced Malware Detection Techniques (7 papers), Explainable Artificial Intelligence (XAI) (7 papers), Topic Modeling (7 papers) and Software Reliability and Analysis Research (4 papers). The work is most often cited by research in Software (208 citations), Health Informatics (29 citations), Signal Processing (136 citations), Artificial Intelligence (329 citations) and Information Systems (183 citations). Osbert Bastani has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Himabindu Lakkaraju, Işıl Dillig, Alex Aiken, Saswat Anand, Yu Feng, Ruben Martins, Shuo Li, Armando Solar-Lezama, Rahul Sharma and Percy Liang. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, Management Science, ACM Transactions on Embedded Computing Systems and Theory and applications of categories.
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.