Stephen M. Matyas
- Artificial Intelligence top 5%
- Cryptographic Implementations and Security 14
- Cryptography and Data Security 8
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- Chaos-based Image/Signal Encryption 20
- Software top 10%
- Information Systems top 5%
- User Authentication and Security Systems 5
- Information and Cyber Security 3
- Signal Processing top 5%
- Biometric Identification and Security 3
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- DNA and Biological Computing 3
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- Advanced Authentication Protocols Security 3
- Co-authors
- Craig H. MeyerAndrew GloverDon CoppersmithMohammad PeyravianRosario GennaroDavid SaffordCharanjit S. JutlaShai Halevi
- Journals
- IEEE Communications Magazine (1 paper)ACM SIGCOMM Computer Communication Review (1 paper)IBM Journal of Research and Development (2 papers)
- Partner nations
- United StatesAustraliaBrazil
In The Last Decade
Stephen M. Matyas
30 papers receiving 493 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 387
- Computer Vision and Pattern Recognition 238
- Software 42
- Information Systems 248
- Signal Processing 113
Countries citing papers authored by Stephen M. Matyas
This map shows the geographic impact of Stephen M. Matyas'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 Stephen M. Matyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen M. Matyas more than expected).
Fields of papers citing papers by Stephen M. Matyas
This network shows the impact of papers produced by Stephen M. Matyas. 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 Stephen M. Matyas. The network helps show where Stephen M. Matyas may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Stephen M. Matyas, 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 | Continuous Integration: Improving Software Quality and Reducing Risk (The Addison-Wesley Signature Series) | 2007 | 108 |
| 2 | 2005 | 0 | |
| 3 | 2000 | 1 | |
| 4 | 2000 | 2 | |
| 5 | 2000 | 2 | |
| 6 | 2000 | 3 | |
| 7 | 1999 | 13 | |
| 8 | MARS - a candidate cipher for AES | 1999 | 79 |
| 9 | 1997 | 3 | |
| 10 | 1996 | 43 | |
| 11 | 1991 | 12 | |
| 12 | 1991 | 14 | |
| 13 | 1991 | 19 | |
| 14 | 1985 | 35 | |
| 15 | 1983 | 11 | |
| 16 | Cryptography: A New Dimension in Computer Data Security--A Guide for the Design and Implementation of Secure Systems | 1982 | 22 |
| 17 | 1981 | 67 | |
| 18 | 1981 | 3 | |
| 19 | 1979 | 15 | |
| 20 | 1978 | 49 |
About Stephen M. Matyas
Stephen M. Matyas is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence, having authored 35 papers that have together received 629 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (20 papers), Cryptographic Implementations and Security (14 papers), Cryptography and Data Security (8 papers), User Authentication and Security Systems (5 papers), DNA and Biological Computing (3 papers), Biometric Identification and Security (3 papers), Advanced Authentication Protocols Security (3 papers) and Information and Cyber Security (3 papers). The work is most often cited by research in Artificial Intelligence (387 citations), Computer Vision and Pattern Recognition (238 citations) and Software (42 citations). Stephen M. Matyas has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Craig H. Meyer, Andrew Glover, Don Coppersmith, Mohammad Peyravian, Rosario Gennaro, David Safford, Charanjit S. Jutla, Shai Halevi, Luke O’Connor and Allen Roginsky. Their work appears in journals such as IEEE Communications Magazine, ACM SIGCOMM Computer Communication Review and IBM Journal of Research and Development.
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.