Mark Stamp
Impact in
- Signal Processing top 0.1%
- Advanced Malware Detection Techniques
- Software top 1%
- Software Testing and Debugging Techniques
Papers in
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- Advanced Malware Detection Techniques 85
-
- Network Security and Intrusion Detection 65
- Co-authors
- Fabio Di Troia (48 shared papers)Thomas H. Austin (18 shared papers)Richard M. Low (9 shared papers)Wing Hung Wong (1 shared paper)Peter P. Stavroulakis (1 shared paper)Corrado Aaron Visaggio (6 shared papers)Clyde F. Martin (11 shared papers)Douglas S. Reeves (1 shared paper)
- Journals
- Journal of Computer Virology and Hacking Techniques (35 papers)Computers & Security (4 papers)International Journal of Security and Networks (4 papers)Applied Mathematics and Computation (3 papers)Communications of the ACM (2 papers)
- Partner nations
- United StatesCzechiaItaly
In The Last Decade
Mark Stamp
145 papers receiving 3.4k citations
Mark Stamp's Hit Papers
Peers
Comparison fields: 5 of 126
- Signal Processing 2.6k
- Software 417
- Computer Networks and Communications 2.3k
- Information Systems 1.6k
- Artificial Intelligence 1.5k
Countries citing papers authored by Mark Stamp
This map shows the geographic impact of Mark Stamp'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 Mark Stamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Stamp more than expected).
Fields of papers citing papers by Mark Stamp
This network shows the impact of papers produced by Mark Stamp. 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 Mark Stamp. The network helps show where Mark Stamp may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Stamp, 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 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A comparison of static, dynamic, and hybrid analysis for malware detection Hit paper breakdown → | 2015 | 347 |
| 2 | 2006 | 204 | |
| 3 | 2010 | 198 | |
| 4 | Information Security: Principles and Practices | 2005 | 189 |
| 5 | 2012 | 121 | |
| 6 | 2013 | 113 | |
| 7 | 1993 | 108 | |
| 8 | 2011 | 105 | |
| 9 | 2010 | 97 | |
| 10 | 2014 | 87 | |
| 11 | 2008 | 87 | |
| 12 | 2012 | 78 | |
| 13 | 2019 | 78 | |
| 14 | 2013 | 77 | |
| 15 | 2019 | 72 | |
| 16 | 2018 | 70 | |
| 17 | 2017 | 64 | |
| 18 | 2013 | 63 | |
| 19 | 2012 | 60 | |
| 20 | 2020 | 58 |
About Mark Stamp
Mark Stamp is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Software, having authored 162 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (85 papers), Network Security and Intrusion Detection (65 papers), Anomaly Detection Techniques and Applications (23 papers), Spam and Phishing Detection (23 papers), User Authentication and Security Systems (13 papers), Digital and Cyber Forensics (11 papers), Software Testing and Debugging Techniques (11 papers) and Adversarial Robustness in Machine Learning (10 papers). The work is most often cited by research in Signal Processing (2.6k citations), Software (417 citations), Computer Networks and Communications (2.3k citations), Information Systems (1.6k citations) and Artificial Intelligence (1.5k citations). Mark Stamp has collaborated with scholars based in United States, Czechia and Italy. Frequent co-authors include Fabio Di Troia, Thomas H. Austin, Richard M. Low, Wing Hung Wong, Peter P. Stavroulakis, Corrado Aaron Visaggio, Clyde F. Martin, Douglas S. Reeves, Younghee Park and Katerina Potika. Their work appears in journals such as Journal of Computer Virology and Hacking Techniques, Computers & Security, International Journal of Security and Networks, Applied Mathematics and Computation and Communications of the ACM.
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.