Gregory V. Bard
Impact in
- Artificial Intelligence top 10%
- Cryptographic Implementations and Security
- Coding theory and cryptography
-
- Advanced Malware Detection Techniques
Papers in
-
- Coding theory and cryptography 3
- Cryptographic Implementations and Security 3
-
- Advanced Authentication Protocols Security 1
- Co-authors
- M. Albrecht (1 shared paper)William B. Hart (1 shared paper)Michael Black (1 shared paper)Malcolm D. Jones (1 shared paper)Nicolas T. Courtois (1 shared paper)Andrey Bogdanov (1 shared paper)
- Journals
- ACM Transactions on Mathematical Software (1 paper)American Journal of Physical Medicine & Rehabilitation (1 paper)Tatra Mountains Mathematical Publications (1 paper)IACR Cryptology ePrint Archive (1 paper)AIP conference proceedings (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Gregory V. Bard
8 papers receiving 180 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 142
- Signal Processing 34
- Computational Theory and Mathematics 43
- Computer Vision and Pattern Recognition 51
- Information Systems 49
Countries citing papers authored by Gregory V. Bard
This map shows the geographic impact of Gregory V. Bard'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 Gregory V. Bard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory V. Bard more than expected).
Fields of papers citing papers by Gregory V. Bard
This network shows the impact of papers produced by Gregory V. Bard. 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 Gregory V. Bard. The network helps show where Gregory V. Bard may publish in the future.
Co-authors
The 6 scholars most cited alongside Gregory V. Bard, 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 | 2009 | 94 | |
| 2 | Spelling-Error Tolerant, Order-Independent Pass-Phrases via the Damerau-Levenshtein String-Edit Distance Metric. | 2006 | 65 |
| 3 | 2006 | 22 | |
| 4 | 2010 | 14 | |
| 5 | Periodic Ciphers with Small Blocks and Cryptanalysis of KeeLoq | 2008 | 4 |
| 6 | 2011 | 4 | |
| 7 | 1966 | 3 | |
| 8 | 2015 | 3 | |
| 9 | 2017 | 1 |
About Gregory V. Bard
Gregory V. Bard is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Surgery, having authored 9 papers that have together received 210 indexed citations. Recurring topics across this work include Coding theory and cryptography (3 papers), Cryptographic Implementations and Security (3 papers), Chaos-based Image/Signal Encryption (2 papers), Advanced Authentication Protocols Security (1 paper), Spam and Phishing Detection (1 paper), Shoulder and Clavicle Injuries (1 paper), Cloud Computing and Resource Management (1 paper) and Biometric Identification and Security (1 paper). The work is most often cited by research in Artificial Intelligence (142 citations), Signal Processing (34 citations), Computational Theory and Mathematics (43 citations), Computer Vision and Pattern Recognition (51 citations) and Information Systems (49 citations). Gregory V. Bard has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include M. Albrecht, William B. Hart, Michael Black, Malcolm D. Jones, Nicolas T. Courtois and Andrey Bogdanov. Their work appears in journals such as ACM Transactions on Mathematical Software, American Journal of Physical Medicine & Rehabilitation, Tatra Mountains Mathematical Publications, IACR Cryptology ePrint Archive and AIP conference proceedings.
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.