Rok Strniša
Impact in
- Software top 5%
- Model-Driven Software Engineering Techniques
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
-
- Logic, programming, and type systems 8
- Security and Verification in Computing 4
- Advanced Software Engineering Methodologies 2
-
- Parallel Computing and Optimization Techniques 6
- Co-authors
- Peter Sewell (6 shared papers)Francesco Zappa Nardelli (3 shared papers)Matthew Parkinson (2 shared papers)Scott Owens (3 shared papers)Susmit Sarkar (3 shared papers)Johan Östlund (3 shared papers)Tobias Wrigstad (3 shared papers)Bard Bloom (3 shared papers)
- Journals
- ACM SIGPLAN Notices (3 papers)Journal of Functional Programming (1 paper)Kent Academic Repository (University of Kent) (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Rok Strniša
9 papers receiving 245 citations
Peers
Comparison fields: 5 of 18
- Software 62
- Hardware and Architecture 83
- Artificial Intelligence 231
- Computational Theory and Mathematics 76
- Information Systems 101
Countries citing papers authored by Rok Strniša
This map shows the geographic impact of Rok Strniša'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 Rok Strniša with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rok Strniša more than expected).
Fields of papers citing papers by Rok Strniša
This network shows the impact of papers produced by Rok Strniša. 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 Rok Strniša. The network helps show where Rok Strniša may publish in the future.
Co-authors
The 12 scholars most cited alongside Rok Strniša, 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 | 2010 | 73 | |
| 2 | 2007 | 45 | |
| 3 | 2009 | 39 | |
| 4 | 2007 | 39 | |
| 5 | 2009 | 32 | |
| 6 | 2006 | 17 | |
| 7 | 2007 | 7 | |
| 8 | 2007 | 6 | |
| 9 | 2009 | 3 |
About Rok Strniša
Rok Strniša is a scholar working on Artificial Intelligence, Hardware and Architecture, Information Systems, Computational Theory and Mathematics and Computer Networks and Communications, having authored 9 papers that have together received 261 indexed citations. Recurring topics across this work include Logic, programming, and type systems (8 papers), Parallel Computing and Optimization Techniques (6 papers), Security and Verification in Computing (4 papers), Software Engineering Research (3 papers), Advanced Software Engineering Methodologies (2 papers), Formal Methods in Verification (2 papers), Software System Performance and Reliability (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Software (62 citations), Hardware and Architecture (83 citations), Artificial Intelligence (231 citations), Computational Theory and Mathematics (76 citations) and Information Systems (101 citations). Rok Strniša has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Peter Sewell, Francesco Zappa Nardelli, Matthew Parkinson, Scott Owens, Susmit Sarkar, Johan Östlund, Tobias Wrigstad, Bard Bloom, John K. Field and Jan Vítek. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming and Kent Academic Repository (University of Kent).
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.