Scott Carr
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Hardware and Architecture top 10%
Papers in
-
- Security and Verification in Computing 7
- Adversarial Robustness in Machine Learning 1
-
- Advanced Malware Detection Techniques 5
- Co-authors
- Mathias Payer (7 shared papers)Nathan Burow (2 shared papers)Michael Franz (2 shared papers)Per Larsen (1 shared paper)Stefan Brunthaler (1 shared paper)David Hannay (2 shared papers)Dawn Song (1 shared paper)Chao Zhang (1 shared paper)
- Journals
- Journal of Computational Acoustics (1 paper)IEEE Transactions on Software Engineering (1 paper)ACM Computing Surveys (1 paper)Structural Health Monitoring (1 paper)Bioacoustics (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Scott Carr
10 papers receiving 367 citations
Peers
Comparison fields: 5 of 47
- Signal Processing 218
- Hardware and Architecture 62
- Artificial Intelligence 277
- Software 27
- Information Systems 89
Countries citing papers authored by Scott Carr
This map shows the geographic impact of Scott Carr'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 Scott Carr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Carr more than expected).
Fields of papers citing papers by Scott Carr
This network shows the impact of papers produced by Scott Carr. 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 Scott Carr. The network helps show where Scott Carr may publish in the future.
Co-authors
The 23 scholars most cited alongside Scott Carr, 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 | 166 | |
| 2 | 2014 | 43 | |
| 3 | 2016 | 43 | |
| 4 | 2017 | 39 | |
| 5 | 2017 | 27 | |
| 6 | 1998 | 20 | |
| 7 | 2018 | 19 | |
| 8 | Venerable Variadic Vulnerabilities Vanquished | 2017 | 9 |
| 9 | 2016 | 8 | |
| 10 | 2000 | 7 | |
| 11 | 2010 | 2 | |
| 12 | 2008 | 2 |
About Scott Carr
Scott Carr is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Oceanography and Materials Chemistry, having authored 12 papers that have together received 385 indexed citations. Recurring topics across this work include Security and Verification in Computing (7 papers), Advanced Malware Detection Techniques (5 papers), Diamond and Carbon-based Materials Research (3 papers), Underwater Acoustics Research (3 papers), Distributed systems and fault tolerance (3 papers), Marine animal studies overview (2 papers), Seismic Waves and Analysis (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Signal Processing (218 citations), Hardware and Architecture (62 citations), Artificial Intelligence (277 citations), Software (27 citations) and Information Systems (89 citations). Scott Carr has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Mathias Payer, Nathan Burow, Michael Franz, Per Larsen, Stefan Brunthaler, David Hannay, Dawn Song, Chao Zhang, Tongxin Li and Chengyu Song. Their work appears in journals such as Journal of Computational Acoustics, IEEE Transactions on Software Engineering, ACM Computing Surveys, Structural Health Monitoring and Bioacoustics.
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.