Maverick Woo
Impact in
- Software top 1%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 1%
- Advanced Malware Detection Techniques
Papers in
- Software 6
- Software Testing and Debugging Techniques 6
-
- Advanced Malware Detection Techniques 11
- Data Management and Algorithms 1
- Co-authors
- David BrumleySang KilManuel EgeleEdward J. SchwartzThanassis AvgerinosPeter ChapmanTiffany BaoJongHyup Lee
- Journals
- Communications of the ACM (1 paper)arXiv (Cornell University) (1 paper)Figshare (3 papers)Canadian Conference on Computational Geometry (1 paper)USENIX Security Symposium (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Maverick Woo
13 papers receiving 864 citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Software 471
- Signal Processing 652
- Information Systems 413
- Hardware and Architecture 82
- Artificial Intelligence 361
Countries citing papers authored by Maverick Woo
This map shows the geographic impact of Maverick Woo'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 Maverick Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maverick Woo more than expected).
Fields of papers citing papers by Maverick Woo
This network shows the impact of papers produced by Maverick Woo. 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 Maverick Woo. The network helps show where Maverick Woo may publish in the future.
Co-authors
The 19 scholars most cited alongside Maverick Woo, 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 | 2020 | 1 | |
| 2 | 2019 | 12 | |
| 3 | 2019 | 10 | |
| 4 | Fuzzing: Art, Science, and Engineering. | 2018 | 18 |
| 5 | 2018 | 64 | |
| 6 | 2018 | 79 | |
| 7 | 2018 | 19 | |
| 8 | Towards Automated Dynamic Analysis for Linux-based Embedded Firmware Hit paper breakdown → | 2016 | 222 |
| 9 | 2015 | 157 | |
| 10 | 2014 | 155 | |
| 11 | Native ×86 decompilation using semantics-preserving structural analysis and iterative control-flow structuring | 2013 | 60 |
| 12 | 2013 | 112 | |
| 13 | Achieving Spatial Adaptivity while Finding Approximate Nearest Neighbors. | 2008 | 1 |
| 14 | Solving Symmetric Diagonally-Dominant Systems by Preconditioning | 2003 | 9 |
About Maverick Woo
Maverick Woo is a scholar working on Software, Signal Processing, Information Systems, Hardware and Architecture and Computer Graphics and Computer-Aided Design, having authored 14 papers that have together received 919 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (11 papers), Software Testing and Debugging Techniques (6 papers), Software Engineering Research (6 papers), Security and Verification in Computing (5 papers), Information and Cyber Security (2 papers), Data Management and Algorithms (1 paper), Logic, programming, and type systems (1 paper) and Real-Time Systems Scheduling (1 paper). The work is most often cited by research in Software (471 citations), Signal Processing (652 citations), Information Systems (413 citations), Hardware and Architecture (82 citations) and Artificial Intelligence (361 citations). Maverick Woo has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include David Brumley, Sang Kil, Manuel Egele, Edward J. Schwartz, Thanassis Avgerinos, Peter Chapman, Tiffany Bao, JongHyup Lee, Jiyong Jang and Virgil D. Gligor. Their work appears in journals such as Communications of the ACM, arXiv (Cornell University), Figshare, Canadian Conference on Computational Geometry and USENIX Security Symposium.
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.