Arjun Radhakrishna
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Software Engineering Research 12
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- Logic, programming, and type systems 4
- Co-authors
- Thomas A. Henzinger (10 shared papers)Pavol Černý (8 shared papers)Sumit Gulwani (16 shared papers)Ashish Tiwari (10 shared papers)Gustavo Soares (9 shared papers)Vu Le (5 shared papers)Alan Leung (2 shared papers)Roopsha Samanta (5 shared papers)
- Journals
- Proceedings of the ACM on Programming Languages (8 papers)ACM SIGPLAN Notices (3 papers)Theoretical Computer Science (2 papers)Formal Methods in System Design (1 paper)Proceedings of the ACM on Management of Data (1 paper)
- Partner nations
- United StatesAustriaIndia
In The Last Decade
Arjun Radhakrishna
30 papers receiving 211 citations
Peers
Comparison fields: 5 of 37
- Software 66
- Hardware and Architecture 36
- Computational Theory and Mathematics 63
- Information Systems 79
- Artificial Intelligence 87
Countries citing papers authored by Arjun Radhakrishna
This map shows the geographic impact of Arjun Radhakrishna'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 Arjun Radhakrishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Radhakrishna more than expected).
Fields of papers citing papers by Arjun Radhakrishna
This network shows the impact of papers produced by Arjun Radhakrishna. 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 Arjun Radhakrishna. The network helps show where Arjun Radhakrishna may publish in the future.
Co-authors
The 25 scholars most cited alongside Arjun Radhakrishna, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 30 | |
| 2 | 2011 | 20 | |
| 3 | 2013 | 15 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 11 | |
| 6 | 2020 | 9 | |
| 7 | 2016 | 8 | |
| 8 | 2012 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2014 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2014 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2018 | 5 |
About Arjun Radhakrishna
Arjun Radhakrishna is a scholar working on Information Systems, Artificial Intelligence, Software, Computational Theory and Mathematics and Computer Networks and Communications, having authored 33 papers that have together received 213 indexed citations. Recurring topics across this work include Software Engineering Research (12 papers), Software Testing and Debugging Techniques (11 papers), Formal Methods in Verification (9 papers), Software Reliability and Analysis Research (5 papers), Parallel Computing and Optimization Techniques (5 papers), Real-Time Systems Scheduling (5 papers), Logic, programming, and type systems (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Software (66 citations), Hardware and Architecture (36 citations), Computational Theory and Mathematics (63 citations), Information Systems (79 citations) and Artificial Intelligence (87 citations). Arjun Radhakrishna has collaborated with scholars based in United States, Austria and India. Frequent co-authors include Thomas A. Henzinger, Pavol Černý, Sumit Gulwani, Ashish Tiwari, Gustavo Soares, Vu Le, Alan Leung, Roopsha Samanta, Abhishek Udupa and Udi Boker. Their work appears in journals such as Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, Theoretical Computer Science, Formal Methods in System Design and Proceedings of the ACM on Management of Data.
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.