Dror Fried
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
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- Formal Methods in Verification
Papers in
-
- Formal Methods in Verification 5
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- AI-based Problem Solving and Planning 2
- Bayesian Modeling and Causal Inference 2
- Co-authors
- Moshe Y. Vardi (7 shared papers)Lydia E. Kavraki (2 shared papers)Morteza Lahijanian (2 shared papers)Hadas Kress‐Gazit (1 shared paper)Supratik Chakraborty (4 shared papers)Kuldeep S. Meel (2 shared papers)Shaull Almagor (1 shared paper)Lluís Quintana‐Murci (1 shared paper)
- Journals
- IEEE Transactions on Robotics (1 paper)Journal of Artificial Intelligence Research (1 paper)Theoretical Computer Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Formal Methods in System Design (1 paper)
- Partner nations
- United StatesIsraelIndia
In The Last Decade
Dror Fried
10 papers receiving 208 citations
Peers
Comparison fields: 5 of 47
- Software 41
- Computational Theory and Mathematics 76
- Artificial Intelligence 96
- Computer Vision and Pattern Recognition 52
- Computer Networks and Communications 31
Countries citing papers authored by Dror Fried
This map shows the geographic impact of Dror Fried'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 Dror Fried with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dror Fried more than expected).
Fields of papers citing papers by Dror Fried
This network shows the impact of papers produced by Dror Fried. 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 Dror Fried. The network helps show where Dror Fried may publish in the future.
Co-authors
The 25 scholars most cited alongside Dror Fried, 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 | 2016 | 62 | |
| 2 | 2013 | 46 | |
| 3 | 2015 | 32 | |
| 4 | From weighted to unweighted model counting | 2015 | 23 |
| 5 | 2013 | 15 | |
| 6 | Constrained Sampling and Counting: Universal Hashing Meets SAT Solving | 2015 | 15 |
| 7 | 2015 | 6 | |
| 8 | 2018 | 6 | |
| 9 | 2018 | 3 | |
| 10 | 2022 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2021 | 0 |
About Dror Fried
Dror Fried is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Software, Computer Networks and Communications and Automotive Engineering, having authored 12 papers that have together received 209 indexed citations. Recurring topics across this work include Formal Methods in Verification (5 papers), Software Testing and Debugging Techniques (3 papers), AI-based Problem Solving and Planning (2 papers), Transportation and Mobility Innovations (2 papers), Bayesian Modeling and Causal Inference (2 papers), Embedded Systems Design Techniques (2 papers), Vehicle Routing Optimization Methods (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Software (41 citations), Computational Theory and Mathematics (76 citations), Artificial Intelligence (96 citations), Computer Vision and Pattern Recognition (52 citations) and Computer Networks and Communications (31 citations). Dror Fried has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Moshe Y. Vardi, Lydia E. Kavraki, Morteza Lahijanian, Hadas Kress‐Gazit, Supratik Chakraborty, Kuldeep S. Meel, Shaull Almagor, Lluís Quintana‐Murci, Jean‐Laurent Casanova and Patrick Nitschké. Their work appears in journals such as IEEE Transactions on Robotics, Journal of Artificial Intelligence Research, Theoretical Computer Science, Proceedings of the National Academy of Sciences and Formal Methods in System Design.
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.