Nathan Burow
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Security and Verification in Computing 11
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- Advanced Malware Detection Techniques 11
- Co-authors
- Mathias Payer (8 shared papers)Xinping Zhang (1 shared paper)Scott Carr (2 shared papers)S. Dinesh (1 shared paper)Per Larsen (1 shared paper)Michael Franz (1 shared paper)Stefan Brunthaler (1 shared paper)Dongyan Xu (1 shared paper)
- Journals
- ACM Computing Surveys (2 papers)IEEE Security & Privacy (2 papers)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (2 papers)arXiv (Cornell University) (2 papers)Figshare (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Nathan Burow
17 papers receiving 441 citations
Peers
Comparison fields: 5 of 28
- Signal Processing 264
- Hardware and Architecture 123
- Software 69
- Artificial Intelligence 336
- Computer Networks and Communications 114
Countries citing papers authored by Nathan Burow
This map shows the geographic impact of Nathan Burow'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 Nathan Burow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Burow more than expected).
Fields of papers citing papers by Nathan Burow
This network shows the impact of papers produced by Nathan Burow. 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 Nathan Burow. The network helps show where Nathan Burow may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Burow, 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 | 2017 | 143 | |
| 2 | 2019 | 92 | |
| 3 | 2020 | 81 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 21 | |
| 6 | 2018 | 19 | |
| 7 | 2022 | 14 | |
| 8 | FuZZan: Efficient sanitizer metadata design for fuzzing | 2020 | 12 |
| 9 | 2022 | 9 | |
| 10 | 2014 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2025 | 1 | |
| 16 | Software Ethology: An Accurate and Resilient Semantic Binary Analysis Framework | 2019 | 1 |
| 17 | 2021 | 1 |
About Nathan Burow
Nathan Burow is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 17 papers that have together received 450 indexed citations. Recurring topics across this work include Security and Verification in Computing (11 papers), Advanced Malware Detection Techniques (11 papers), Diamond and Carbon-based Materials Research (3 papers), Parallel Computing and Optimization Techniques (2 papers), Software Testing and Debugging Techniques (2 papers), Distributed systems and fault tolerance (2 papers), Real-Time Systems Scheduling (2 papers) and Web Application Security Vulnerabilities (2 papers). The work is most often cited by research in Signal Processing (264 citations), Hardware and Architecture (123 citations), Software (69 citations), Artificial Intelligence (336 citations) and Computer Networks and Communications (114 citations). Nathan Burow has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Mathias Payer, Xinping Zhang, Scott Carr, S. Dinesh, Per Larsen, Michael Franz, Stefan Brunthaler, Dongyan Xu, Hamed Okhravi and Howard Shrobe. Their work appears in journals such as ACM Computing Surveys, IEEE Security & Privacy, Infoscience (Ecole Polytechnique Fédérale de Lausanne), arXiv (Cornell University) and Figshare.
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.