Ravi Chugh
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Logic, programming, and type systems 12
- Security and Verification in Computing 8
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- Software Engineering Research 8
- Co-authors
- Ranjit Jhala (7 shared papers)Sorin Lerner (4 shared papers)Nikhil Swamy (4 shared papers)Juan Chen (3 shared papers)David Herman (1 shared paper)Patrick M. Rondon (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)Lecture notes in computer science (2 papers)eScholarship (California Digital Library) (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Ravi Chugh
22 papers receiving 517 citations
Peers
Comparison fields: 5 of 30
- Software 124
- Signal Processing 213
- Information Systems 286
- Artificial Intelligence 391
- Hardware and Architecture 76
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 199 | |
| 2 | 2010 | 63 | |
| 3 | 2012 | 57 | |
| 4 | 2008 | 47 | |
| 5 | 2010 | 27 | |
| 6 | 2012 | 26 | |
| 7 | 2018 | 25 | |
| 8 | 2012 | 25 | |
| 9 | 2009 | 23 | |
| 10 | 2021 | 17 | |
| 11 | 2023 | 10 | |
| 12 | 2016 | 9 | |
| 13 | 2008 | 4 | |
| 14 | 2015 | 4 | |
| 15 | 2010 | 3 | |
| 16 | Program Synthesis for Direct Manipulation Interfaces. | 2015 | 2 |
| 17 | End-to-end Verification of Security Enforcement is Fine (Extended version) | 2009 | 2 |
| 18 | 2023 | 2 | |
| 19 | 2020 | 2 | |
| 20 | Nested Refinement Types for JavaScript | 2013 | 1 |
About Ravi Chugh
Ravi Chugh is a scholar working on Artificial Intelligence, Information Systems, Software, Computer Science Applications and Signal Processing, having authored 24 papers that have together received 550 indexed citations. Recurring topics across this work include Logic, programming, and type systems (12 papers), Software Engineering Research (8 papers), Security and Verification in Computing (8 papers), Software Testing and Debugging Techniques (7 papers), Teaching and Learning Programming (6 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Malware Detection Techniques (5 papers) and Formal Methods in Verification (4 papers). The work is most often cited by research in Software (124 citations), Signal Processing (213 citations), Information Systems (286 citations), Artificial Intelligence (391 citations) and Hardware and Architecture (76 citations). Ravi Chugh has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Ranjit Jhala, Sorin Lerner, Nikhil Swamy, Juan Chen, David Herman, Patrick M. Rondon, Mikaël Mayer, Viktor Kunčak, Andrew McNutt and Nick Collins. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Lecture notes in computer science, 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.