Michele Co
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
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- Advanced Malware Detection Techniques 10
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- Security and Verification in Computing 10
- Co-authors
- Jack W. Davidson (12 shared papers)Jason D. Hiser (12 shared papers)Anh Nguyen‐Tuong (12 shared papers)Matthew Hall (1 shared paper)David Melski (3 shared papers)John Knight (4 shared papers)Bruno Dutertre (1 shared paper)Natarajan Shankar (1 shared paper)
- Journals
- IEEE Security & Privacy (2 papers)Computer (1 paper)ACM Transactions on Architecture and Code Optimization (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Michele Co
13 papers receiving 226 citations
Peers
Comparison fields: 5 of 15
- Signal Processing 197
- Software 24
- Artificial Intelligence 197
- Hardware and Architecture 38
- Computer Networks and Communications 94
Countries citing papers authored by Michele Co
This map shows the geographic impact of Michele Co'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 Michele Co with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Co more than expected).
Fields of papers citing papers by Michele Co
This network shows the impact of papers produced by Michele Co. 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 Michele Co. The network helps show where Michele Co may publish in the future.
Co-authors
The 23 scholars most cited alongside Michele Co, 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 | 2012 | 173 | |
| 2 | 2017 | 15 | |
| 3 | 2018 | 13 | |
| 4 | 2017 | 8 | |
| 5 | 2016 | 7 | |
| 6 | 2016 | 5 | |
| 7 | 2017 | 4 | |
| 8 | 2011 | 4 | |
| 9 | 2009 | 3 | |
| 10 | 2014 | 3 | |
| 11 | 2006 | 2 | |
| 12 | 2017 | 2 | |
| 13 | 2017 | 1 |
About Michele Co
Michele Co is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 13 papers that have together received 240 indexed citations. Recurring topics across this work include Security and Verification in Computing (10 papers), Advanced Malware Detection Techniques (10 papers), Network Security and Intrusion Detection (3 papers), Cloud Computing and Resource Management (1 paper), Diamond and Carbon-based Materials Research (1 paper), Real-time simulation and control systems (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Physical Unclonable Functions (PUFs) and Hardware Security (1 paper). The work is most often cited by research in Signal Processing (197 citations), Software (24 citations), Artificial Intelligence (197 citations), Hardware and Architecture (38 citations) and Computer Networks and Communications (94 citations). Michele Co has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jack W. Davidson, Jason D. Hiser, Anh Nguyen‐Tuong, Matthew Hall, David Melski, John Knight, Bruno Dutertre, Natarajan Shankar, Gregory Frazier and Derek W. Morris. Their work appears in journals such as IEEE Security & Privacy, Computer and ACM Transactions on Architecture and Code Optimization.
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.