David Melski
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Security and Verification in Computing 10
- Cryptographic Implementations and Security 2
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- Advanced Malware Detection Techniques 10
- Co-authors
- Thomas Reps (8 shared papers)Somesh Jha (5 shared papers)Stefan Schwoon (1 shared paper)David Chandler (2 shared papers)Vinod Ganapathy (2 shared papers)Chengyu Song (2 shared papers)Wenke Lee (2 shared papers)Tielei Wang (1 shared paper)
- Journals
- Theoretical Computer Science (1 paper)IEEE Security & Privacy (1 paper)Science of Computer Programming (1 paper)ACM SIGPLAN Notices (1 paper)International Conference on Software Engineering (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
David Melski
17 papers receiving 325 citations
Peers
Comparison fields: 5 of 23
- Software 161
- Signal Processing 128
- Hardware and Architecture 74
- Artificial Intelligence 234
- Computational Theory and Mathematics 103
Countries citing papers authored by David Melski
This map shows the geographic impact of David Melski'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 Melski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Melski more than expected).
Fields of papers citing papers by David Melski
This network shows the impact of papers produced by David Melski. 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 Melski. The network helps show where David Melski may publish in the future.
Co-authors
The 24 scholars most cited alongside David Melski, 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 | 2005 | 89 | |
| 2 | 2000 | 73 | |
| 3 | 2003 | 65 | |
| 4 | 1997 | 37 | |
| 5 | 2015 | 27 | |
| 6 | 2018 | 13 | |
| 7 | 2015 | 11 | |
| 8 | Interprocedural path profiling and the interprocedural express-lane transformation | 2002 | 9 |
| 9 | 1997 | 7 | |
| 10 | 2015 | 4 | |
| 11 | 2011 | 4 | |
| 12 | 2010 | 3 | |
| 13 | 2014 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2010 | 2 | |
| 16 | 2003 | 2 | |
| 17 | 2009 | 1 |
About David Melski
David Melski is a scholar working on Artificial Intelligence, Signal Processing, Software, Information Systems and Computational Theory and Mathematics, having authored 17 papers that have together received 353 indexed citations. Recurring topics across this work include Security and Verification in Computing (10 papers), Advanced Malware Detection Techniques (10 papers), Software Testing and Debugging Techniques (8 papers), Formal Methods in Verification (5 papers), Software Reliability and Analysis Research (4 papers), Web Application Security Vulnerabilities (2 papers), Digital and Cyber Forensics (2 papers) and Cryptographic Implementations and Security (2 papers). The work is most often cited by research in Software (161 citations), Signal Processing (128 citations), Hardware and Architecture (74 citations), Artificial Intelligence (234 citations) and Computational Theory and Mathematics (103 citations). David Melski has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Thomas Reps, Somesh Jha, Stefan Schwoon, David Chandler, Vinod Ganapathy, Chengyu Song, Wenke Lee, Tielei Wang, Chao Zhang and Denis Gopan. Their work appears in journals such as Theoretical Computer Science, IEEE Security & Privacy, Science of Computer Programming, ACM SIGPLAN Notices and International Conference on Software Engineering.
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.