Christopher Salls
Impact in
- Software top 0.5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
Papers in
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- Advanced Malware Detection Techniques 8
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- Security and Verification in Computing 4
- Evolutionary Algorithms and Applications 1
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Giovanni Vigna (8 shared papers)Christopher Kruegel (8 shared papers)Yan Shoshitaishvili (6 shared papers)Ruoyu Wang (4 shared papers)Christophe Hauser (1 shared paper)Mario Polino (1 shared paper)Aravind Machiry (3 shared papers)Shuang Hao (1 shared paper)
- Journals
- eScholarship (California Digital Library) (1 paper)Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)
- Partner nations
- United States
In The Last Decade
Christopher Salls
8 papers receiving 1.3k citations
Christopher Salls's Hit Papers
Peers
Comparison fields: 5 of 39
- Software 763
- Signal Processing 925
- Hardware and Architecture 167
- Information Systems 517
- Artificial Intelligence 578
Countries citing papers authored by Christopher Salls
This map shows the geographic impact of Christopher Salls'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 Christopher Salls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Salls more than expected).
Fields of papers citing papers by Christopher Salls
This network shows the impact of papers produced by Christopher Salls. 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 Christopher Salls. The network helps show where Christopher Salls may publish in the future.
Co-authors
The 15 scholars most cited alongside Christopher Salls, 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 | SOK: (State of) The Art of War: Offensive Techniques in Binary Analysis Hit paper breakdown → | 2016 | 548 |
| 2 | Driller: Augmenting Fuzzing Through Selective Symbolic Execution Hit paper breakdown → | 2016 | 536 |
| 3 | 2017 | 103 | |
| 4 | 2017 | 63 | |
| 5 | 2019 | 42 | |
| 6 | 2017 | 36 | |
| 7 | 2020 | 8 | |
| 8 | 2017 | 4 |
About Christopher Salls
Christopher Salls is a scholar working on Signal Processing, Artificial Intelligence, Software, Computer Networks and Communications and Information Systems, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (8 papers), Software Testing and Debugging Techniques (6 papers), Security and Verification in Computing (4 papers), Software System Performance and Reliability (1 paper), Evolutionary Algorithms and Applications (1 paper), Adversarial Robustness in Machine Learning (1 paper), Teaching and Learning Programming (1 paper) and Network Security and Intrusion Detection (1 paper). The work is most often cited by research in Software (763 citations), Signal Processing (925 citations), Hardware and Architecture (167 citations), Information Systems (517 citations) and Artificial Intelligence (578 citations). Christopher Salls has collaborated with scholars based in United States. Frequent co-authors include Giovanni Vigna, Christopher Kruegel, Yan Shoshitaishvili, Ruoyu Wang, Christophe Hauser, Mario Polino, Aravind Machiry, Shuang Hao, Keith R. Long and Hojjat Aghakhani. Their work appears in journals such as eScholarship (California Digital Library), Virtual Community of Pathological Anatomy (University of Castilla La Mancha) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.