David Lie
Impact in
- Signal Processing top 1%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 0.5%
- Security and Verification in Computing
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
Papers in
-
- Security and Verification in Computing 34
- Privacy-Preserving Technologies in Data 2
- Software 5
- Software Testing and Debugging Techniques 5
- Co-authors
- Mark Horowitz (9 shared papers)Zhen Huang (7 shared papers)John C. Mitchell (6 shared papers)Yi Fan Zhou (1 shared paper)Dan Boneh (5 shared papers)Patrick D. Lincoln (4 shared papers)Lionel Litty (7 shared papers)Chandramohan A. Thekkath (6 shared papers)
- Journals
- ACM Computing Surveys (3 papers)ACM SIGPLAN Notices (2 papers)Surveillance & Society (1 paper)IEEE Security & Privacy (1 paper)IEEE Transactions on Computers (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
David Lie
70 papers receiving 3.3k citations
David Lie's Hit Papers
Peers
Comparison fields: 5 of 31
- Signal Processing 466
- Artificial Intelligence 1.7k
- Software 189
- Information Systems 194
- Hardware and Architecture 39
Countries citing papers authored by David Lie
This map shows the geographic impact of David Lie'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 David Lie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lie more than expected).
Fields of papers citing papers by David Lie
This network shows the impact of papers produced by David Lie. 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 David Lie. The network helps show where David Lie may publish in the future.
Co-authors
The 25 scholars most cited alongside David Lie, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PScout Hit paper breakdown → | 2012 | 536 |
| 2 | 2000 | 464 | |
| 3 | Machine Unlearning Hit paper breakdown → | 2021 | 409 |
| 4 | 2017 | 221 | |
| 5 | 2016 | 179 | |
| 6 | 2000 | 166 | |
| 7 | Hypervisor support for identifying covertly executing binaries | 2008 | 161 |
| 8 | 2003 | 135 | |
| 9 | 2000 | 110 | |
| 10 | 2007 | 73 | |
| 11 | 2010 | 69 | |
| 12 | 2004 | 60 | |
| 13 | 2015 | 55 | |
| 14 | 2019 | 55 | |
| 15 | 2011 | 50 | |
| 16 | 2006 | 49 | |
| 17 | 2003 | 43 | |
| 18 | 2004 | 43 | |
| 19 | Dude, where’s that IP?: circumventing measurement-based IP geolocation | 2010 | 42 |
| 20 | 2006 | 39 |
About David Lie
David Lie is a scholar working on Artificial Intelligence, Software, Computational Theory and Mathematics, Information Systems and Computer Networks and Communications, having authored 73 papers that have together received 3.4k indexed citations. Recurring topics across this work include Security and Verification in Computing (34 papers), Formal Methods in Verification (6 papers), Software Testing and Debugging Techniques (5 papers), Distributed systems and fault tolerance (3 papers), Privacy-Preserving Technologies in Data (2 papers), Information and Cyber Security (2 papers), Cloud Data Security Solutions (2 papers) and User Authentication and Security Systems (1 paper). The work is most often cited by research in Signal Processing (466 citations), Artificial Intelligence (1.7k citations), Software (189 citations), Information Systems (194 citations) and Hardware and Architecture (39 citations). David Lie has collaborated with scholars based in Canada and United States. Frequent co-authors include Mark Horowitz, Zhen Huang, John C. Mitchell, Yi Fan Zhou, Dan Boneh, Patrick D. Lincoln, Lionel Litty, Chandramohan A. Thekkath, H. Andrés Lagar-Cavilla and Nicolas Papernot. Their work appears in journals such as ACM Computing Surveys, ACM SIGPLAN Notices, Surveillance & Society, IEEE Security & Privacy and IEEE Transactions on Computers.
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.