Mona Vij
Impact in
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Parallel Computing and Optimization Techniques
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Security and Verification in Computing 13
-
- Cloud Data Security Solutions 7
- Co-authors
- Donald E. Porter (2 shared papers)Chia-Che Tsai (2 shared papers)John Keys (4 shared papers)Leonid Ryzhyk (4 shared papers)Somnath Chakrabarti (3 shared papers)Michael Stumm (1 shared paper)Adam K. Walker (1 shared paper)Matthew Hoekstra (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (1 paper)Operating Systems Design and Implementation (1 paper)VTechWorks (Virginia Tech) (1 paper)Elsevier eBooks (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Mona Vij
15 papers receiving 318 citations
Peers
Comparison fields: 5 of 25
- Hardware and Architecture 84
- Signal Processing 109
- Artificial Intelligence 267
- Information Systems 166
- Computer Networks and Communications 100
Countries citing papers authored by Mona Vij
This map shows the geographic impact of Mona Vij'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 Mona Vij with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Vij more than expected).
Fields of papers citing papers by Mona Vij
This network shows the impact of papers produced by Mona Vij. 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 Mona Vij. The network helps show where Mona Vij may publish in the future.
Co-authors
The 24 scholars most cited alongside Mona Vij, 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 | Graphene-SGX: a practical library OS for unmodified applications on SGX | 2017 | 223 |
| 2 | 2014 | 37 | |
| 3 | 2019 | 12 | |
| 4 | 2017 | 12 | |
| 5 | 2022 | 7 | |
| 6 | 2011 | 7 | |
| 7 | 2023 | 6 | |
| 8 | 2020 | 5 | |
| 9 | 2022 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | Improved device driver reliability through verification reuse | 2010 | 1 |
| 16 | 2011 | 0 |
About Mona Vij
Mona Vij is a scholar working on Artificial Intelligence, Information Systems, Hardware and Architecture, Computer Networks and Communications and Signal Processing, having authored 16 papers that have together received 323 indexed citations. Recurring topics across this work include Security and Verification in Computing (13 papers), Cloud Data Security Solutions (7 papers), Distributed systems and fault tolerance (5 papers), Advanced Malware Detection Techniques (4 papers), Parallel Computing and Optimization Techniques (3 papers), Physical Unclonable Functions (PUFs) and Hardware Security (3 papers), Embedded Systems Design Techniques (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Hardware and Architecture (84 citations), Signal Processing (109 citations), Artificial Intelligence (267 citations), Information Systems (166 citations) and Computer Networks and Communications (100 citations). Mona Vij has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Donald E. Porter, Chia-Che Tsai, John Keys, Leonid Ryzhyk, Somnath Chakrabarti, Michael Stumm, Adam K. Walker, Matthew Hoekstra, Reza Tourani and Carlos Rozas. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, Operating Systems Design and Implementation, VTechWorks (Virginia Tech) and Elsevier eBooks.
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.