Timon Gehr
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Artificial Intelligence top 1%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Explainable Artificial Intelligence (XAI)
- Machine Learning and Algorithms
Papers in
-
- Adversarial Robustness in Machine Learning 8
- Machine Learning and Algorithms 6
- Bayesian Modeling and Causal Inference 5
- Anomaly Detection Techniques and Applications 2
-
- Software System Performance and Reliability 2
- Co-authors
- Martin Vechev (21 shared papers)Matthew Mirman (3 shared papers)Gagandeep Singh (5 shared papers)Markus Püschel (4 shared papers)Petar Tsankov (6 shared papers)Dana Drachsler-Cohen (3 shared papers)Swarat Chaudhuri (1 shared paper)Saša Misailovíc (3 shared papers)
- Journals
- ACM SIGPLAN Notices (2 papers)Proceedings of the ACM on Programming Languages (2 papers)Lecture notes in computer science (3 papers)International Conference on Machine Learning (2 papers)Repository for Publications and Research Data (ETH Zurich) (1 paper)
- Partner nations
- SwitzerlandUnited StatesBulgaria
In The Last Decade
Timon Gehr
21 papers receiving 1.4k citations
Timon Gehr's Hit Papers
Peers
Comparison fields: 5 of 69
- Software 242
- Artificial Intelligence 1.3k
- Hardware and Architecture 128
- Signal Processing 169
- Computational Theory and Mathematics 232
Countries citing papers authored by Timon Gehr
This map shows the geographic impact of Timon Gehr'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 Timon Gehr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timon Gehr more than expected).
Fields of papers citing papers by Timon Gehr
This network shows the impact of papers produced by Timon Gehr. 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 Timon Gehr. The network helps show where Timon Gehr may publish in the future.
Co-authors
The 17 scholars most cited alongside Timon Gehr, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation Hit paper breakdown → | 2018 | 446 |
| 2 | An abstract domain for certifying neural networks Hit paper breakdown → | 2019 | 361 |
| 3 | Fast and Effective Robustness Certification | 2018 | 119 |
| 4 | Differentiable Abstract Interpretation for Provably Robust Neural Networks | 2018 | 113 |
| 5 | 2016 | 100 | |
| 6 | 2020 | 91 | |
| 7 | Boosting Robustness Certification of Neural Networks. | 2019 | 47 |
| 8 | DL2: Training and Querying Neural Networks with Logic. | 2019 | 32 |
| 9 | 2020 | 32 | |
| 10 | 2020 | 32 | |
| 11 | 2018 | 29 | |
| 12 | 2015 | 25 | |
| 13 | 2020 | 19 | |
| 14 | 2017 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2018 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2018 | 3 | |
| 20 | Robustness Certification with Refinement | 2019 | 3 |
About Timon Gehr
Timon Gehr is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Machine Learning and Algorithms (6 papers), Bayesian Modeling and Causal Inference (5 papers), Advanced Neural Network Applications (3 papers), Fault Detection and Control Systems (3 papers), Software System Performance and Reliability (2 papers), Quantum Mechanics and Applications (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Software (242 citations), Artificial Intelligence (1.3k citations), Hardware and Architecture (128 citations), Signal Processing (169 citations) and Computational Theory and Mathematics (232 citations). Timon Gehr has collaborated with scholars based in Switzerland, United States and Bulgaria. Frequent co-authors include Martin Vechev, Matthew Mirman, Gagandeep Singh, Markus Püschel, Petar Tsankov, Dana Drachsler-Cohen, Swarat Chaudhuri, Saša Misailovíc, Benjamin Bichsel and Mislav Balunović. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Lecture notes in computer science, International Conference on Machine Learning and Repository for Publications and Research Data (ETH Zurich).
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.