John Proos
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Cryptographic Implementations and Security
- Quantum Computing Algorithms and Architecture
- Coding theory and cryptography
- Quantum Information and Cryptography
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- Chaos-based Image/Signal Encryption
Papers in
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- Advanced Graph Theory Research 2
- Complexity and Algorithms in Graphs 1
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- Cryptography and Data Security 4
- Coding theory and cryptography 2
- Cryptographic Implementations and Security 2
- Co-authors
- William Whyte (1 shared paper)Joseph H. Silverman (1 shared paper)Phong Q. Nguyễn (1 shared paper)Nick Howgrave-Graham (1 shared paper)David Pointcheval (1 shared paper)John J. Healy (2 shared papers)Paweł Prałat (2 shared papers)Xavier Pérez‐Giménez (2 shared papers)
- Journals
- Internet Mathematics (1 paper)Quantum Information and Computation (1 paper)Lecture notes in computer science (2 papers)IACR Cryptology ePrint Archive (1 paper)
- Partner nations
- CanadaFranceUnited States
In The Last Decade
John Proos
6 papers receiving 313 citations
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 319
- Computer Vision and Pattern Recognition 98
- Information Systems 100
- Computational Theory and Mathematics 68
- Computational Mathematics 2
Countries citing papers authored by John Proos
This map shows the geographic impact of John Proos'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 John Proos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Proos more than expected).
Fields of papers citing papers by John Proos
This network shows the impact of papers produced by John Proos. 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 John Proos. The network helps show where John Proos may publish in the future.
Co-authors
The 8 scholars most cited alongside John Proos, 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 | 224 | |
| 2 | 2003 | 99 | |
| 3 | Imperfect Decryption and an Attack on the NTRU Encryption Scheme. | 2003 | 14 |
| 4 | 2018 | 8 | |
| 5 | Imperfect decryption and partial information attacks in cryptography | 2003 | 4 |
| 6 | 2016 | 3 |
About John Proos
John Proos is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 6 papers that have together received 352 indexed citations. Recurring topics across this work include Cryptography and Data Security (4 papers), Cryptography and Residue Arithmetic (2 papers), Advanced Graph Theory Research (2 papers), Coding theory and cryptography (2 papers), Cryptographic Implementations and Security (2 papers), Chaos-based Image/Signal Encryption (1 paper), Complex Network Analysis Techniques (1 paper) and Complexity and Algorithms in Graphs (1 paper). The work is most often cited by research in Artificial Intelligence (319 citations), Computer Vision and Pattern Recognition (98 citations), Information Systems (100 citations), Computational Theory and Mathematics (68 citations) and Computational Mathematics (2 citations). John Proos has collaborated with scholars based in Canada, France and United States. Frequent co-authors include William Whyte, Joseph H. Silverman, Phong Q. Nguyễn, Nick Howgrave-Graham, David Pointcheval, John J. Healy, Paweł Prałat and Xavier Pérez‐Giménez. Their work appears in journals such as Internet Mathematics, Quantum Information and Computation, Lecture notes in computer science and IACR Cryptology ePrint Archive.
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.