Simon Huband

3.9k total citations · 2 hit papers
15 papers, 2.6k citations indexed

About

Simon Huband is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Mechanical Engineering. According to data from OpenAlex, Simon Huband has authored 15 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Mechanical Engineering. Recurrent topics in Simon Huband's work include Advanced Multi-Objective Optimization Algorithms (5 papers), Evolutionary Algorithms and Applications (5 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Simon Huband is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (5 papers), Evolutionary Algorithms and Applications (5 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Simon Huband collaborates with scholars based in Australia, India and Singapore. Simon Huband's co-authors include Philip Hingston, Lyndon While, Luigi Barone, Jodie McVernon, George Milne, Joel Kelso, Heath Kelly, R.A. Bearman, Kalyanmoy Deb and V. L. Huang and has published in prestigious journals such as PLoS ONE, Australasian Journal of Paramedicine and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Simon Huband

15 papers receiving 2.5k citations

Hit Papers

A review of multiobjective test problems and a scalable t... 2006 2026 2012 2019 2006 2006 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of multiobjective test problems and a scalable test problem toolkit
    2006 1.5k citations Simon Huband, Philip Hingston et al. IEEE Transactions on Evolutionary Computation profile →
  2. A faster algorithm for calculating hypervolume
    2006 805 citations Lyndon While, Philip Hingston et al. IEEE Transactions on Evolutionary Computation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Huband Australia 10 2.0k 1.7k 454 253 175 15 2.6k
Lyndon While Australia 19 2.5k 1.2× 2.2k 1.3× 602 1.3× 367 1.5× 258 1.5× 60 3.4k
Mohammad Nabi Omidvar Australia 22 1.9k 0.9× 2.3k 1.3× 206 0.5× 182 0.7× 176 1.0× 40 2.7k
Claudia Sagastizábal Brazil 27 1.0k 0.5× 222 0.1× 422 0.9× 246 1.0× 79 0.5× 72 2.3k
K. M. Ragsdell United States 16 431 0.2× 390 0.2× 183 0.4× 209 0.8× 140 0.8× 52 1.1k
Jianyong Chen China 18 930 0.5× 1.2k 0.7× 113 0.2× 170 0.7× 150 0.9× 31 1.6k
Jeffrey Horn United States 12 977 0.5× 968 0.6× 145 0.3× 253 1.0× 203 1.2× 20 2.5k
Osman Kaan Erol Türkiye 7 493 0.2× 768 0.4× 51 0.1× 232 0.9× 102 0.6× 13 1.4k
Hemant Kumar Singh Australia 24 1.1k 0.5× 929 0.5× 468 1.0× 240 0.9× 270 1.5× 145 2.1k
Warren Hare Canada 22 563 0.3× 236 0.1× 94 0.2× 170 0.7× 118 0.7× 76 1.6k
Sigrún Andradóttir United States 24 482 0.2× 267 0.2× 925 2.0× 136 0.5× 368 2.1× 103 2.0k

Countries citing papers authored by Simon Huband

Since Specialization
Citations

This map shows the geographic impact of Simon Huband'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 Simon Huband with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Huband more than expected).

Fields of papers citing papers by Simon Huband

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Huband. 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 Simon Huband. The network helps show where Simon Huband may publish in the future.

Co-authorship network of co-authors of Simon Huband

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Huband. A scholar is included among the top collaborators of Simon Huband 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 Simon Huband. Simon Huband is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Huband, Simon, et al.. (2019). Study Progression, Success and Program Component Selection. ASCILITE Publications. 514–518. 1 indexed citations
2.
Konsky, Brian R. von, et al.. (2018). Parts of speech in Bloom’s Taxonomy Classification. ASCILITE Publications. 527–532. 2 indexed citations
3.
Milne, George, Joel Kelso, Heath Kelly, Simon Huband, & Jodie McVernon. (2008). A Small Community Model for the Transmission of Infectious Diseases: Comparison of School Closure as an Intervention in Individual-Based Models of an Influenza Pandemic. PLoS ONE. 3(12). e4005–e4005. 132 indexed citations
4.
Huang, V. L., Kalyanmoy Deb, Eckart Zitzler, et al.. (2007). Problem Definitions for Performance Assessment of Multi-objective Optimization Algorithms. 54 indexed citations
5.
Bradstreet, Lucas, Luigi Barone, Lyndon While, Simon Huband, & Philip Hingston. (2007). Use of the WFG Toolkit and PISA for Comparison of MOEAs. Australasian Journal of Paramedicine. 382–389. 14 indexed citations
6.
While, Lyndon, Philip Hingston, Luigi Barone, & Simon Huband. (2006). A faster algorithm for calculating hypervolume. IEEE Transactions on Evolutionary Computation. 10(1). 29–38. 805 indexed citations breakdown →
7.
Huband, Simon, Philip Hingston, Luigi Barone, & Lyndon While. (2006). A review of multiobjective test problems and a scalable test problem toolkit. IEEE Transactions on Evolutionary Computation. 10(5). 477–506. 1459 indexed citations breakdown →
8.
Huband, Simon, et al.. (2006). Maximising overall value in plant design. Minerals Engineering. 19(15). 1470–1478. 19 indexed citations
9.
Barone, Luigi, Lyndon While, Simon Huband, & Philip Hingston. (2005). A Scalable Multi-objective Test Problem Toolkit. UWA Profiles and Research Repository (University of Western Australia). 3410. 280–295. 7 indexed citations
10.
Huband, Simon, et al.. (2005). Designing Comminution Circuits with a Multi-Objective Evolutionary Algorithm. Australasian Journal of Paramedicine. 2. 1815–1822. 12 indexed citations
11.
Huband, Simon, Philip Hingston, Lyndon While, & Luigi Barone. (2004). An evolution strategy with probabilistic mutation for multi-objective optimisation. Australasian Journal of Paramedicine. 4. 2284–2291. 58 indexed citations
12.
While, Lyndon, et al.. (2004). A multi-objective evolutionary algorithm approach for crusher optimisation and flowsheet design. Minerals Engineering. 17(11-12). 1063–1074. 8 indexed citations
13.
While, Lyndon, et al.. (2004). A multi-objective evolutionary algorithm approach for crusher optimisation and flowsheet design. Minerals Engineering. 17(11-12). 1063–1074. 20 indexed citations
14.
Huband, Simon & David D. McDonald. (2002). A preliminary topological debugger for MPI programs. 29. 422–429. 12 indexed citations
15.
Huband, Simon & Chris McDonald. (1999). Debugging parallel programs using incomplete information. 37. 278–286. 4 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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