Binh Vo
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Security and Verification in Computing
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Cryptography and Data Security 7
- Privacy-Preserving Technologies in Data 5
- Internet Traffic Analysis and Secure E-voting 5
- Algorithms and Data Compression 4
-
- Advanced Data Storage Technologies 4
- Peer-to-Peer Network Technologies 2
- Co-authors
- Tal Malkin (5 shared papers)Steven M. Bellovin (5 shared papers)Vladimir Kolesnikov (2 shared papers)Chad Verbowski (2 shared papers)Roussi Roussev (2 shared papers)Doug Beck (1 shared paper)Mariana Raykova (3 shared papers)Yimin Wang (1 shared paper)
- Journals
- IEEE Security & Privacy (1 paper)Theoretical Computer Science (1 paper)Columbia Academic Commons (Columbia University) (3 papers)Very Large Data Bases (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Binh Vo
13 papers receiving 411 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 337
- Signal Processing 94
- Computer Networks and Communications 186
- Information Systems 169
- Computational Theory and Mathematics 79
Countries citing papers authored by Binh Vo
This map shows the geographic impact of Binh Vo'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 Binh Vo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binh Vo more than expected).
Fields of papers citing papers by Binh Vo
This network shows the impact of papers produced by Binh Vo. 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 Binh Vo. The network helps show where Binh Vo may publish in the future.
Co-authors
The 25 scholars most cited alongside Binh Vo, 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 | 2014 | 128 | |
| 2 | 2005 | 86 | |
| 3 | 2009 | 53 | |
| 4 | 2015 | 40 | |
| 5 | 2006 | 39 | |
| 6 | Searching the World Wide Web in Low-Connectivity Communities | 2002 | 33 |
| 7 | 2011 | 14 | |
| 8 | 2004 | 12 | |
| 9 | 2007 | 11 | |
| 10 | 2011 | 11 | |
| 11 | RadixZip: linear time compression of token streams | 2007 | 6 |
| 12 | Strider GhostBuster: Why It’s A Bad Idea For Stealth Software To Hide Files | 2004 | 6 |
| 13 | 2009 | 2 | |
| 14 | 2015 | 1 |
About Binh Vo
Binh Vo is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Hardware and Architecture, having authored 14 papers that have together received 442 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Advanced Data Storage Technologies (4 papers), Algorithms and Data Compression (4 papers), Advanced Malware Detection Techniques (2 papers), Peer-to-Peer Network Technologies (2 papers) and Digital and Cyber Forensics (2 papers). The work is most often cited by research in Artificial Intelligence (337 citations), Signal Processing (94 citations), Computer Networks and Communications (186 citations), Information Systems (169 citations) and Computational Theory and Mathematics (79 citations). Binh Vo has collaborated with scholars based in United States and Canada. Frequent co-authors include Tal Malkin, Steven M. Bellovin, Vladimir Kolesnikov, Chad Verbowski, Roussi Roussev, Doug Beck, Mariana Raykova, Yimin Wang, Vasilis Pappas and Steve Bellovin. Their work appears in journals such as IEEE Security & Privacy, Theoretical Computer Science, Columbia Academic Commons (Columbia University) and Very Large Data Bases.
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.