Ravi Chugh
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in ⓘ
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- Logic, programming, and type systems 11
- Security and Verification in Computing 6
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- Software Engineering Research 8
- Co-authors
- Ranjit Jhala (7 shared papers)Sorin Lerner (4 shared papers)Patrick M. Rondon (2 shared papers)David Herman (1 shared paper)Nikhil Swamy (3 shared papers)Juan Chen (2 shared papers)Mikaël Mayer (2 shared papers)Viktor Kunčak (1 shared paper)
- Journals
- ACM SIGPLAN Notices (5 papers)Proceedings of the ACM on Programming Languages (2 papers)arXiv (Cornell University) (1 paper)eScholarship (California Digital Library) (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Ravi Chugh
19 papers receiving 355 citations
Peers
Comparison fields: 5 of 27
- Software 97
- Signal Processing 148
- Information Systems 207
- Hardware and Architecture 58
- Artificial Intelligence 246
Countries citing papers authored by Ravi Chugh
This map shows the geographic impact of Ravi Chugh'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 Ravi Chugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Chugh more than expected).
Fields of papers citing papers by Ravi Chugh
This network shows the impact of papers produced by Ravi Chugh. 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 Ravi Chugh. The network helps show where Ravi Chugh may publish in the future.
Co-authors
The 12 scholars most cited alongside Ravi Chugh, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 164 | |
| 2 | 2012 | 42 | |
| 3 | 2008 | 33 | |
| 4 | 2010 | 24 | |
| 5 | 2018 | 21 | |
| 6 | 2012 | 21 | |
| 7 | 2012 | 20 | |
| 8 | 2021 | 15 | |
| 9 | 2009 | 11 | |
| 10 | 2016 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2008 | 3 | |
| 13 | 2010 | 3 | |
| 14 | Program Synthesis for Direct Manipulation Interfaces. | 2015 | 2 |
| 15 | End-to-end Verification of Security Enforcement is Fine (Extended version) | 2009 | 2 |
| 16 | 2020 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2020 | 1 | |
| 19 | Nested Refinement Types for JavaScript | 2013 | 1 |
| 20 | A Bidirectional Krivine Evaluator. | 2019 | 0 |
About Ravi Chugh
Ravi Chugh is a scholar working on Artificial Intelligence, Information Systems, Software, Hardware and Architecture and Computer Science Applications, having authored 21 papers that have together received 382 indexed citations. Recurring topics across this work include Logic, programming, and type systems (11 papers), Software Engineering Research (8 papers), Software Testing and Debugging Techniques (7 papers), Security and Verification in Computing (6 papers), Parallel Computing and Optimization Techniques (5 papers), Teaching and Learning Programming (5 papers), Advanced Malware Detection Techniques (4 papers) and Formal Methods in Verification (3 papers). The work is most often cited by research in Software (97 citations), Signal Processing (148 citations), Information Systems (207 citations), Hardware and Architecture (58 citations) and Artificial Intelligence (246 citations). Ravi Chugh has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Ranjit Jhala, Sorin Lerner, Patrick M. Rondon, David Herman, Nikhil Swamy, Juan Chen, Mikaël Mayer, Viktor Kunčak, Andrew McNutt and Cyrus Omar. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, arXiv (Cornell University), eScholarship (California Digital Library) and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
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.