Subhajit Roy
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
- Software 31
- Software Testing and Debugging Techniques 28
- Software Reliability and Analysis Research 11
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- Parallel Computing and Optimization Techniques 8
- Co-authors
- Kuldeep S. MeelY. N. SrikantYu HuBrendan Dolan-GavittSahil VermaAditya DesaiSumit GulwaniMark Marron
- Journals
- Formal Methods in System Design (3 papers)Proceedings of the ACM on Programming Languages (3 papers)ACM SIGPLAN Notices (1 paper)ACM Transactions on Software Engineering and Methodology (1 paper)Computers & Geosciences (1 paper)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Subhajit Roy
36 papers receiving 260 citations
Peers
Comparison fields: 5 of 29
- Software 152
- Hardware and Architecture 44
- Information Systems 125
- Signal Processing 45
- Artificial Intelligence 121
Countries citing papers authored by Subhajit Roy
This map shows the geographic impact of Subhajit Roy'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 Subhajit Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhajit Roy more than expected).
Fields of papers citing papers by Subhajit Roy
This network shows the impact of papers produced by Subhajit Roy. 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 Subhajit Roy. The network helps show where Subhajit Roy may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Subhajit Roy, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 2 | |
| 14 | WAPS: Weighted and Projected Sampling. | 2019 | 7 |
| 15 | 2018 | 12 | |
| 16 | 2017 | 0 | |
| 17 | 2017 | 12 | |
| 18 | 2016 | 1 | |
| 19 | 2016 | 2 | |
| 20 | 2013 | 6 |
About Subhajit Roy
Subhajit Roy is a scholar working on Software, Hardware and Architecture, Information Systems, Computational Theory and Mathematics and Artificial Intelligence, having authored 40 papers that have together received 265 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (28 papers), Software Engineering Research (17 papers), Software Reliability and Analysis Research (11 papers), Parallel Computing and Optimization Techniques (8 papers), Logic, programming, and type systems (8 papers), Formal Methods in Verification (8 papers), Machine Learning and Algorithms (5 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Software (152 citations), Hardware and Architecture (44 citations), Information Systems (125 citations), Signal Processing (45 citations) and Artificial Intelligence (121 citations). Subhajit Roy has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Kuldeep S. Meel, Y. N. Srikant, Yu Hu, Brendan Dolan-Gavitt, Sahil Verma, Aditya Desai, Sumit Gulwani, Mark Marron, Amey Karkare and Mate Soos. Their work appears in journals such as Formal Methods in System Design, Proceedings of the ACM on Programming Languages, ACM SIGPLAN Notices, ACM Transactions on Software Engineering and Methodology and Computers & Geosciences.
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.