Victor Vu
- Artificial Intelligence top 5%
- Cryptography and Data Security 3
- Information Systems top 10%
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- Complexity and Algorithms in Graphs 3
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- Distributed systems and fault tolerance 1
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- Robotic Locomotion and Control 3
- Biomedical and Engineering Education 1
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- Simulation Techniques and Applications 2
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- Model-Driven Software Engineering Techniques 1
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- Musculoskeletal pain and rehabilitation 1
- Co-authors
- Srinath SettyAndrew J. BlumbergMichael WalfishBenjamin BraunBryan ParnoSamuel BarrettPatrick MacAlpineDaniel Urieli
- Journals
- USENIX Security Symposium (1 paper)Adaptive Agents and Multi-Agents Systems (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United States
In The Last Decade
Victor Vu
7 papers receiving 217 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 206
- Hardware and Architecture 26
- Information Systems 79
- Computational Theory and Mathematics 56
- Computer Networks and Communications 46
Countries citing papers authored by Victor Vu
This map shows the geographic impact of Victor Vu'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 Victor Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Vu more than expected).
Fields of papers citing papers by Victor Vu
This network shows the impact of papers produced by Victor Vu. 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 Victor Vu. The network helps show where Victor Vu may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Victor Vu, 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 | 2022 | 1 | |
| 2 | 2021 | 6 | |
| 3 | 2013 | 76 | |
| 4 | 2013 | 65 | |
| 5 | Taking proof-based verified computation a few steps closer to practicality | 2012 | 66 |
| 6 | 2012 | 12 | |
| 7 | UT Austin Villa 2011: 3D Simulation Team Report | 2011 | 3 |
About Victor Vu
Victor Vu is a scholar working on Software, Computational Theory and Mathematics and Management Science and Operations Research, having authored 7 papers that have together received 229 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (3 papers), Cryptography and Data Security (3 papers), Robotic Locomotion and Control (3 papers), Simulation Techniques and Applications (2 papers), Distributed systems and fault tolerance (1 paper), Model-Driven Software Engineering Techniques (1 paper), Biomedical and Engineering Education (1 paper) and Musculoskeletal pain and rehabilitation (1 paper). The work is most often cited by research in Artificial Intelligence (206 citations), Hardware and Architecture (26 citations) and Information Systems (79 citations). Victor Vu has collaborated with scholars based in United States. Frequent co-authors include Srinath Setty, Andrew J. Blumberg, Michael Walfish, Benjamin Braun, Bryan Parno, Samuel Barrett, Patrick MacAlpine, Daniel Urieli, Peter Stone and Shivaram Kalyanakrishnan. Their work appears in journals such as USENIX Security Symposium, Adaptive Agents and Multi-Agents Systems, Proceedings of the AAAI Conference on Artificial Intelligence and Research Square.
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.