William Millan

1.2k total citations
14 papers, 119 citations indexed

About

William Millan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, William Millan has authored 14 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in William Millan's work include Coding theory and cryptography (8 papers), Cryptographic Implementations and Security (7 papers) and Chaos-based Image/Signal Encryption (6 papers). William Millan is often cited by papers focused on Coding theory and cryptography (8 papers), Cryptographic Implementations and Security (7 papers) and Chaos-based Image/Signal Encryption (6 papers). William Millan collaborates with scholars based in Australia and Colombia. William Millan's co-authors include Ed Dawson, Praveen Gauravaram, D. Katterine Bonilla‐Aldana, Andrew E. Clark, José Oñate, Alfonso J. Rodríguez‐Morales and Luke O’Connor and has published in prestigious journals such as Electronics Letters, Lecture notes in computer science and Annals of Clinical Microbiology and Antimicrobials.

In The Last Decade

William Millan

14 papers receiving 107 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William Millan Australia 6 67 34 29 19 17 14 119
John Thornton Australia 6 48 0.7× 30 0.9× 7 0.2× 34 1.8× 5 0.3× 12 178
Devendra Singh Dhami Germany 7 41 0.6× 4 0.1× 14 0.5× 15 0.8× 2 0.1× 31 122
Kemal Turhan Türkiye 8 58 0.9× 28 0.8× 54 1.9× 40 2.1× 3 0.2× 22 283
Kevin Yeo United States 8 135 2.0× 7 0.2× 26 0.9× 39 2.1× 18 1.1× 22 186
Babak Hodjat United States 4 66 1.0× 8 0.2× 13 0.4× 8 0.4× 5 0.3× 15 110
Youness Chawki Portugal 4 150 2.2× 14 0.4× 49 1.7× 6 0.3× 3 0.2× 10 282
Phuong Nguyen Japan 7 96 1.4× 6 0.2× 10 0.3× 89 4.7× 6 0.4× 34 167
Rachana Mehta India 5 32 0.5× 8 0.2× 25 0.9× 5 0.3× 7 0.4× 43 110
Yuhou Xia United States 5 163 2.4× 3 0.1× 24 0.8× 21 1.1× 10 0.6× 5 202
Rakesh Barve United States 11 97 1.4× 47 1.4× 3 0.1× 27 1.4× 23 272

Countries citing papers authored by William Millan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of William Millan

This figure shows the co-authorship network connecting the top 25 collaborators of William Millan. A scholar is included among the top collaborators of William Millan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William Millan. William Millan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Oñate, José, et al.. (2020). Successful recovery of COVID-19 pneumonia in a patient from Colombia after receiving chloroquine and clarithromycin. Annals of Clinical Microbiology and Antimicrobials. 19(1). 16–16. 45 indexed citations
2.
Dawson, Ed, et al.. (2006). Constructing Secure Hash Functions by Enhancing Merkle-Damgard Construction. 1 indexed citations
3.
Gauravaram, Praveen, et al.. (2006). Constructing Secure Hash Functions by Enhancing Merkle-Damgard Construction. Lecture notes in computer science. 407–420. 5 indexed citations
4.
Millan, William, et al.. (2004). Simpler Methods for Generating Better Boolean Functions with Good Cryptographic Properties. The Australasian Journal of Combinatorics. 29. 231–248. 23 indexed citations
5.
Gauravaram, Praveen & William Millan. (2004). Improved Attack on the Cellular Authentication and Voice Encryption Algorithm (CAVE). 1–13. 4 indexed citations
6.
Millan, William, et al.. (2004). New concepts in evolutionary search for boolean functions in cryptology. 3. 2157–2164. 6 indexed citations
7.
Gauravaram, Praveen, et al.. (2004). CRUSH: A New Cryptographic Hash Function Using Iterated Halving Technique. 28–39. 4 indexed citations
8.
Millan, William, et al.. (2004). New Concepts in Evolutionary Search for Boolean Functions in Cryptology. Computational Intelligence. 20(3). 463–474. 11 indexed citations
9.
Millan, William & Praveen Gauravaram. (2004). Cryptanalysis of the cellular authentication and voice encryption algorithm. IEICE Electronics Express. 1(15). 453–459. 3 indexed citations
10.
Dawson, Ed, et al.. (2004). Evolutionary generation of bent functions for cryptography. 3. 1655–1661. 7 indexed citations
11.
Millan, William, et al.. (2002). Efficient Algorithms for Analysis of Cryptographic Boolean Functions. 2 indexed citations
12.
Millan, William, et al.. (2002). A single-chip FPGA implementation of a self-synchronous cipher. 1. 223–226. 1 indexed citations
13.
Millan, William. (1998). Cryptanalysis of the alleged CAVE algorithm.. 107–119. 5 indexed citations
14.
Millan, William, Ed Dawson, & Luke O’Connor. (1994). Cryptanalysis of tree-structured ciphers. Electronics Letters. 30(12). 941–942. 2 indexed citations

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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