Gregory V. Bard

995 citations
22 papers · 560 · h-index 9

Impact in

Papers in

Gregory V. Bard

21 papers receiving 489 citations

Peers

Gregory V. Bard
Comparison fields: 5 of 65
  • Artificial Intelligence 459
  • Computer Vision and Pattern Recognition 224
  • Hardware and Architecture 55
  • Computational Theory and Mathematics 103
  • Signal Processing 57
Replace Antonio Fariña with:
Antonio Fariña Spain
Daniel Bleichenbacher United States
Douglas C. Schmidt United States
Karsten Nohl United States
Deepak Ajwani Germany
Richard Schroeppel United States
Alexander Golynski Canada
Bodo Möller Germany
Yanyu Huang China
Masakatu Morii Japan
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Citations per field
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Citations per year

Countries citing papers authored by Gregory V. Bard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 11 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.

Border = papers with Gregory V. Bard Line = papers co-authored together Gregory V. Bard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009137
2 2007117
3 200891
4
Spelling-Error Tolerant, Order-Independent Pass-Phrases via the Damerau-Levenshtein String-Edit Distance Metric.
200670
5 201038
6 200632
7 201020
8 20079
9
Periodic Ciphers with Small Blocks and Cryptanalysis of KeeLoq
20088
10 20128
11 20107
12 20115
13 20123
14 20093
15 20153
16 19663
17 20091
18 20091
19 20091
20 20091

About Gregory V. Bard

Gregory V. Bard is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Electrical and Electronic Engineering, having authored 22 papers that have together received 560 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (10 papers), Coding theory and cryptography (10 papers), Chaos-based Image/Signal Encryption (6 papers), Interconnection Networks and Systems (2 papers), Distributed and Parallel Computing Systems (2 papers), graph theory and CDMA systems (2 papers), semigroups and automata theory (2 papers) and Cryptography and Residue Arithmetic (1 paper). The work is most often cited by research in Artificial Intelligence (459 citations), Computer Vision and Pattern Recognition (224 citations), Hardware and Architecture (55 citations), Computational Theory and Mathematics (103 citations) and Signal Processing (57 citations). Gregory V. Bard has collaborated with scholars based in United States, United Kingdom and Estonia. Frequent co-authors include Nicolas T. Courtois, David Wagner, Jorge Nakahara, Pouyan Sepehrdad, Bingsheng Zhang, M. Albrecht, William B. Hart, Kenneth Koon‐Ho Wong, Michael Black and Andrey Bogdanov. Their work appears in journals such as ACM Transactions on Mathematical Software, American Journal of Physical Medicine & Rehabilitation, Lecture notes in computer science, Tatra Mountains Mathematical Publications and Cryptologia.

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.

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