Ginger Myles
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Software Engineering Research 7
- Digital Rights Management and Security 4
- Digital and Cyber Forensics 1
-
- Advanced Malware Detection Techniques 10
- Co-authors
- Christian Collberg (6 shared papers)Nigel Davies (1 shared paper)Adrian Friday (1 shared paper)Michael Stepp (1 shared paper)Stefan Nusser (1 shared paper)Edward J. Delp (1 shared paper)Dulce Ponceleón (1 shared paper)Hongxia Jin (1 shared paper)
- Journals
- Software Practice and Experience (3 papers)IBM Systems Journal (1 paper)IEEE Pervasive Computing (1 paper)Electronic Commerce Research (1 paper)XRDS Crossroads The ACM Magazine for Students (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ginger Myles
11 papers receiving 441 citations
Peers
Comparison fields: 5 of 37
- Software 87
- Signal Processing 244
- Information Systems 254
- Computer Science Applications 45
- Artificial Intelligence 240
Countries citing papers authored by Ginger Myles
This map shows the geographic impact of Ginger Myles'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 Ginger Myles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ginger Myles more than expected).
Fields of papers citing papers by Ginger Myles
This network shows the impact of papers produced by Ginger Myles. 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 Ginger Myles. The network helps show where Ginger Myles may publish in the future.
Co-authors
The 8 scholars most cited alongside Ginger Myles, 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 | 2003 | 215 | |
| 2 | 2005 | 148 | |
| 3 | 2006 | 46 | |
| 4 | 2006 | 30 | |
| 5 | Software theft detection through program identification | 2006 | 25 |
| 6 | 2005 | 13 | |
| 7 | 2006 | 9 | |
| 8 | 2004 | 4 | |
| 9 | The evaluation of two software watermarking algorithms: Research Articles | 2005 | 2 |
| 10 | 2007 | 1 | |
| 11 | 2005 | 1 | |
| 12 | Proceedings of the 4th ACM international workshop on Contents protection and security | 2006 | 0 |
About Ginger Myles
Ginger Myles is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Software, having authored 12 papers that have together received 494 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (10 papers), Software Engineering Research (7 papers), Digital Rights Management and Security (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Software Testing and Debugging Techniques (2 papers), Security and Verification in Computing (2 papers), Digital and Cyber Forensics (1 paper) and Privacy-Preserving Technologies in Data (1 paper). The work is most often cited by research in Software (87 citations), Signal Processing (244 citations), Information Systems (254 citations), Computer Science Applications (45 citations) and Artificial Intelligence (240 citations). Ginger Myles has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Christian Collberg, Nigel Davies, Adrian Friday, Michael Stepp, Stefan Nusser, Edward J. Delp, Dulce Ponceleón and Hongxia Jin. Their work appears in journals such as Software Practice and Experience, IBM Systems Journal, IEEE Pervasive Computing, Electronic Commerce Research and XRDS Crossroads The ACM Magazine for Students.
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.