Michele Co

414 total citations
13 papers, 237 citations indexed

About

Michele Co is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Michele Co has authored 13 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 10 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Michele Co's work include Security and Verification in Computing (10 papers), Advanced Malware Detection Techniques (10 papers) and Network Security and Intrusion Detection (3 papers). Michele Co is often cited by papers focused on Security and Verification in Computing (10 papers), Advanced Malware Detection Techniques (10 papers) and Network Security and Intrusion Detection (3 papers). Michele Co collaborates with scholars based in United States and United Kingdom. Michele Co's co-authors include Anh Nguyen‐Tuong, Jason D. Hiser, Matthew Hall, Jack W. Davidson, David Melski, John Knight, Derek W. Morris, Bruno Dutertre, Ian Mason and Stephanie Forrest and has published in prestigious journals such as Computer, IEEE Security & Privacy and ACM Transactions on Architecture and Code Optimization.

In The Last Decade

Michele Co

13 papers receiving 222 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michele Co United States 6 197 196 92 55 36 13 237
Xunchao Hu United States 7 151 0.8× 152 0.8× 89 1.0× 91 1.7× 40 1.1× 8 239
Richard Wartell United States 4 256 1.3× 226 1.2× 97 1.1× 65 1.2× 45 1.3× 5 270
Yeoul Na United States 8 168 0.9× 129 0.7× 76 0.8× 64 1.2× 68 1.9× 12 248
Alyssa Milburn Netherlands 6 239 1.2× 145 0.7× 69 0.8× 63 1.1× 107 3.0× 10 280
Erik van der Kouwe Netherlands 10 181 0.9× 128 0.7× 96 1.0× 70 1.3× 69 1.9× 30 265
Antonio Barresi Switzerland 3 215 1.1× 175 0.9× 86 0.9× 47 0.9× 48 1.3× 4 226
Jeff Seibert United States 6 94 0.5× 73 0.4× 106 1.2× 32 0.6× 12 0.3× 12 162
Stacey Son United Kingdom 5 200 1.0× 110 0.6× 86 0.9× 40 0.7× 83 2.3× 5 227
Behrad Garmany Germany 6 161 0.8× 229 1.2× 65 0.7× 183 3.3× 28 0.8× 6 296
Ravi Sahita United States 7 94 0.5× 96 0.5× 64 0.7× 38 0.7× 31 0.9× 9 136

Countries citing papers authored by Michele Co

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michele Co

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Co. A scholar is included among the top collaborators of Michele Co based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michele Co. Michele Co is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Nguyen‐Tuong, Anh, David Melski, Jack W. Davidson, et al.. (2018). Xandra: An Autonomous Cyber Battle System for the Cyber Grand Challenge. IEEE Security & Privacy. 16(2). 42–51. 13 indexed citations
2.
Nguyen‐Tuong, Anh, et al.. (2017). Mixr. 8. 27–37. 4 indexed citations
3.
Hiser, Jason D., Tony X. Lin, Anh Nguyen‐Tuong, et al.. (2017). Online control adaptation for safe and secure autonomous vehicle operations. 34. 101–108. 2 indexed citations
4.
Hiser, Jason D., et al.. (2017). Zipr: Efficient Static Binary Rewriting for Security. abs 1407 549. 559–566. 15 indexed citations
5.
Hiser, Jason D., et al.. (2017). Securing Binary Code. IEEE Security & Privacy. 15(6). 77–81. 1 indexed citations
6.
Hiser, Jason D., et al.. (2017). Zipr++. 9–15. 7 indexed citations
7.
Knight, John, Jack W. Davidson, Anh Nguyen‐Tuong, Jason D. Hiser, & Michele Co. (2016). Diversity in Cybersecurity. Computer. 49(4). 94–98. 5 indexed citations
8.
Co, Michele, Jack W. Davidson, Jason D. Hiser, et al.. (2016). Double Helix and RAVEN. 1–4. 7 indexed citations
9.
Nguyen‐Tuong, Anh, Jason D. Hiser, Michele Co, et al.. (2014). To B or not to B: Blessing OS Commands with Software DNA Shotgun Sequencing. 238–249. 3 indexed citations
10.
Hiser, Jason D., et al.. (2012). ILR: Where'd My Gadgets Go?. 571–585. 171 indexed citations
11.
Co, Michele, Jack W. Davidson, Jason D. Hiser, et al.. (2011). PEASOUP. 43–49. 4 indexed citations
12.
Co, Michele, Jack W. Davidson, Sudeep Ghosh, et al.. (2009). A lightweight software control system for cyber awareness and security. 19–24. 3 indexed citations
13.
Co, Michele, et al.. (2006). Evaluating trace cache energy efficiency. ACM Transactions on Architecture and Code Optimization. 3(4). 450–476. 2 indexed citations

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.

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