James Cannady
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Network Security and Intrusion Detection 19
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- Anomaly Detection Techniques and Applications 11
- Neural Networks and Applications 3
- Co-authors
- Jeff Heaton (2 shared papers)Mayukh Dass (2 shared papers)Walter D. Potter (2 shared papers)Charles Y.C. Pak (1 shared paper)Matthew N. O. Sadiku (1 shared paper)
- Journals
- Journal of Computer Security (1 paper)Lecture notes in computer science (2 papers)Computer Law & Security Report (1 paper)NSUWorks (Nova Southeastern University) (10 papers)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United States
In The Last Decade
James Cannady
30 papers receiving 664 citations
Peers
Comparison fields: 5 of 83
- Signal Processing 324
- Computer Networks and Communications 587
- Artificial Intelligence 487
- Hardware and Architecture 57
- Information Systems 121
Countries citing papers authored by James Cannady
This map shows the geographic impact of James Cannady'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 James Cannady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Cannady more than expected).
Fields of papers citing papers by James Cannady
This network shows the impact of papers produced by James Cannady. 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 James Cannady. The network helps show where James Cannady may publish in the future.
Co-authors
The 5 scholars most cited alongside James Cannady, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial Neural Networks for Misuse Detection | 1998 | 340 |
| 2 | Multiple Self-Organizing Maps for Intrusion Detection | 2000 | 102 |
| 3 | 2017 | 67 | |
| 4 | 2017 | 40 | |
| 5 | 2000 | 35 | |
| 6 | 2017 | 32 | |
| 7 | 2004 | 22 | |
| 8 | 2005 | 16 | |
| 9 | 2004 | 12 | |
| 10 | 2007 | 10 | |
| 11 | 2009 | 10 | |
| 12 | LIDS: Learning Intrusion Detection System | 2003 | 9 |
| 13 | 2009 | 8 | |
| 14 | 2003 | 8 | |
| 15 | 2012 | 7 | |
| 16 | 2001 | 7 | |
| 17 | 2016 | 6 | |
| 18 | 2004 | 5 | |
| 19 | 2016 | 4 | |
| 20 | A self-adaptive evolutionary negative selection approach for anomaly detection | 2005 | 4 |
About James Cannady
James Cannady is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Biomedical Engineering, having authored 31 papers that have together received 764 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (19 papers), Advanced Malware Detection Techniques (13 papers), Anomaly Detection Techniques and Applications (11 papers), Artificial Immune Systems Applications (5 papers), Spam and Phishing Detection (4 papers), Neural Networks and Applications (3 papers), Network Packet Processing and Optimization (2 papers) and Digital and Cyber Forensics (2 papers). The work is most often cited by research in Signal Processing (324 citations), Computer Networks and Communications (587 citations), Artificial Intelligence (487 citations), Hardware and Architecture (57 citations) and Information Systems (121 citations). James Cannady has collaborated with scholars based in United States. Frequent co-authors include Jeff Heaton, Mayukh Dass, Walter D. Potter, Charles Y.C. Pak and Matthew N. O. Sadiku. Their work appears in journals such as Journal of Computer Security, Lecture notes in computer science, Computer Law & Security Report, NSUWorks (Nova Southeastern University) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.