Radu Grigore
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Logic, programming, and type systems 10
- Security and Verification in Computing 2
- Logic, Reasoning, and Knowledge 1
- Software 10
- Software Testing and Debugging Techniques 10
- Co-authors
- Mayur Naik (3 shared papers)Hongseok Yang (3 shared papers)Xin Zhang (1 shared paper)Xujie Si (1 shared paper)Mikoláš Janota (1 shared paper)Michał Moskal (1 shared paper)Joseph R. Kiniry (1 shared paper)Dino Distefano (4 shared papers)
- Journals
- ACM SIGPLAN Notices (2 papers)Proceedings of the ACM on Programming Languages (1 paper)Logical Methods in Computer Science (1 paper)Biomedicines (1 paper)Arrow@dit (Dublin Institute of Technology) (1 paper)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Radu Grigore
13 papers receiving 151 citations
Peers
Comparison fields: 5 of 19
- Software 96
- Signal Processing 46
- Information Systems 74
- Hardware and Architecture 20
- Artificial Intelligence 87
Countries citing papers authored by Radu Grigore
This map shows the geographic impact of Radu Grigore'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 Radu Grigore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radu Grigore more than expected).
Fields of papers citing papers by Radu Grigore
This network shows the impact of papers produced by Radu Grigore. 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 Radu Grigore. The network helps show where Radu Grigore may publish in the future.
Co-authors
The 18 scholars most cited alongside Radu Grigore, 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 | 2014 | 58 | |
| 2 | 2017 | 20 | |
| 3 | 2016 | 20 | |
| 4 | 2014 | 12 | |
| 5 | 2007 | 10 | |
| 6 | CONSTRUCTING CHECKERS FROM PSL PROPERTIES | 2005 | 9 |
| 7 | coreStar : the Core of jStar | 2011 | 9 |
| 8 | 2009 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2011 | 2 | |
| 13 | 2016 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2016 | 0 |
About Radu Grigore
Radu Grigore is a scholar working on Artificial Intelligence, Software, Computational Theory and Mathematics, Information Systems and Signal Processing, having authored 15 papers that have together received 158 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (10 papers), Logic, programming, and type systems (10 papers), Formal Methods in Verification (6 papers), Software Engineering Research (4 papers), Security and Verification in Computing (2 papers), Advanced Malware Detection Techniques (2 papers), Software System Performance and Reliability (1 paper) and Logic, Reasoning, and Knowledge (1 paper). The work is most often cited by research in Software (96 citations), Signal Processing (46 citations), Information Systems (74 citations), Hardware and Architecture (20 citations) and Artificial Intelligence (87 citations). Radu Grigore has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Mayur Naik, Hongseok Yang, Xin Zhang, Xin Zhang, Xujie Si, Mikoláš Janota, Michał Moskal, Joseph R. Kiniry, Xin Zhang and Dino Distefano. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Logical Methods in Computer Science, Biomedicines and Arrow@dit (Dublin Institute of Technology).
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.