Ivan Radiček
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
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- Teaching and Learning Programming
- Online Learning and Analytics
Papers in
- Software 6
- Software Testing and Debugging Techniques 5
- Software Reliability and Analysis Research 2
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- Teaching and Learning Programming 3
- Co-authors
- Sumit Gulwani (8 shared papers)Florian Zuleger (5 shared papers)Harshit Joshi (3 shared papers)Gust Verbruggen (2 shared papers)Vu Le (1 shared paper)Gilles Barthe (2 shared papers)Deepak Garg (2 shared papers)Ashish Tiwari (2 shared papers)
- Journals
- Proceedings of the ACM on Programming Languages (3 papers)ACM SIGPLAN Notices (1 paper)MPG.PuRe (Max Planck Society) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Ivan Radiček
10 papers receiving 272 citations
Ivan Radiček's Hit Papers
Peers
Comparison fields: 5 of 25
- Software 143
- Computer Science Applications 97
- Information Systems 158
- Artificial Intelligence 85
- Hardware and Architecture 17
Countries citing papers authored by Ivan Radiček
This map shows the geographic impact of Ivan Radiček'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 Ivan Radiček with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Radiček more than expected).
Fields of papers citing papers by Ivan Radiček
This network shows the impact of papers produced by Ivan Radiček. 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 Ivan Radiček. The network helps show where Ivan Radiček may publish in the future.
Co-authors
The 18 scholars most cited alongside Ivan Radiček, 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 | 2018 | 91 | |
| 2 | Repair Is Nearly Generation: Multilingual Program Repair with LLMs Hit paper breakdown → | 2023 | 80 |
| 3 | 2014 | 48 | |
| 4 | 2017 | 29 | |
| 5 | 2022 | 9 | |
| 6 | Monadic refinements for relational cost analysis | 2018 | 8 |
| 7 | 2022 | 8 | |
| 8 | 2018 | 3 | |
| 9 | 2020 | 1 | |
| 10 | 2024 | 1 |
About Ivan Radiček
Ivan Radiček is a scholar working on Software, Computer Science Applications, Information Systems, Computational Theory and Mathematics and Computer Networks and Communications, having authored 10 papers that have together received 278 indexed citations. Recurring topics across this work include Software Engineering Research (5 papers), Software Testing and Debugging Techniques (5 papers), Teaching and Learning Programming (3 papers), Formal Methods in Verification (3 papers), Software Reliability and Analysis Research (2 papers), Logic, programming, and type systems (2 papers), Advanced Database Systems and Queries (2 papers) and Data Quality and Management (1 paper). The work is most often cited by research in Software (143 citations), Computer Science Applications (97 citations), Information Systems (158 citations), Artificial Intelligence (85 citations) and Hardware and Architecture (17 citations). Ivan Radiček has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Sumit Gulwani, Florian Zuleger, Harshit Joshi, Gust Verbruggen, Vu Le, Gilles Barthe, Deepak Garg, Ashish Tiwari, Marco Gaboardi and Vu Le. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, MPG.PuRe (Max Planck Society), Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
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.