William Millan
Impact in
- Artificial Intelligence top 2%
- Coding theory and cryptography
- Cryptographic Implementations and Security
- Evolutionary Algorithms and Applications
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- Chaos-based Image/Signal Encryption
Papers in
-
- Coding theory and cryptography 25
- Cryptographic Implementations and Security 23
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- Chaos-based Image/Signal Encryption 17
- Co-authors
- Ed Dawson (22 shared papers)Andrew E. Clark (5 shared papers)Andrew Clark (1 shared paper)Leonie Simpson (5 shared papers)Jovan Dj. Golić (2 shared papers)Praveen Gauravaram (6 shared papers)John A. Clark (1 shared paper)Subhamoy Maitra (1 shared paper)
- Journals
- Lecture notes in computer science (19 papers)Electronics Letters (1 paper)Annals of Clinical Microbiology and Antimicrobials (1 paper)IEICE Electronics Express (1 paper)Computational Intelligence (1 paper)
- Partner nations
- AustraliaSouth KoreaUnited Kingdom
In The Last Decade
William Millan
32 papers receiving 759 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 745
- Computer Vision and Pattern Recognition 347
- Computational Theory and Mathematics 131
- Hardware and Architecture 39
- Computer Networks and Communications 104
Countries citing papers authored by William Millan
This map shows the geographic impact of William Millan'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 William Millan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Millan more than expected).
Fields of papers citing papers by William Millan
This network shows the impact of papers produced by William Millan. 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 William Millan. The network helps show where William Millan may publish in the future.
Co-authors
The 22 scholars most cited alongside William Millan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 102 | |
| 2 | 1997 | 66 | |
| 3 | 1999 | 61 | |
| 4 | 1998 | 60 | |
| 5 | 2002 | 59 | |
| 6 | 2003 | 56 | |
| 7 | 2001 | 47 | |
| 8 | 2020 | 46 | |
| 9 | 1999 | 42 | |
| 10 | 2002 | 42 | |
| 11 | 2005 | 39 | |
| 12 | 2002 | 32 | |
| 13 | Simpler Methods for Generating Better Boolean Functions with Good Cryptographic Properties | 2004 | 25 |
| 14 | 1996 | 21 | |
| 15 | 2006 | 19 | |
| 16 | 1999 | 19 | |
| 17 | 2001 | 16 | |
| 18 | 2004 | 15 | |
| 19 | 2004 | 11 | |
| 20 | 2004 | 9 |
About William Millan
William Millan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computational Theory and Mathematics and Signal Processing, having authored 32 papers that have together received 830 indexed citations. Recurring topics across this work include Coding theory and cryptography (25 papers), Cryptographic Implementations and Security (23 papers), Chaos-based Image/Signal Encryption (17 papers), graph theory and CDMA systems (10 papers), Advanced Malware Detection Techniques (4 papers), DNA and Biological Computing (3 papers), Spam and Phishing Detection (2 papers) and semigroups and automata theory (2 papers). The work is most often cited by research in Artificial Intelligence (745 citations), Computer Vision and Pattern Recognition (347 citations), Computational Theory and Mathematics (131 citations), Hardware and Architecture (39 citations) and Computer Networks and Communications (104 citations). William Millan has collaborated with scholars based in Australia, South Korea and United Kingdom. Frequent co-authors include Ed Dawson, Andrew E. Clark, Andrew Clark, Leonie Simpson, Jovan Dj. Golić, Praveen Gauravaram, John A. Clark, Subhamoy Maitra, Matt Henricksen and Jeremy Jacob. Their work appears in journals such as Lecture notes in computer science, Electronics Letters, Annals of Clinical Microbiology and Antimicrobials, IEICE Electronics Express and Computational Intelligence.
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.