Luigi Barone

5.0k total citations · 3 hit papers
47 papers, 3.3k citations indexed

About

Luigi Barone is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Mechanical Engineering. According to data from OpenAlex, Luigi Barone has authored 47 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 7 papers in Mechanical Engineering. Recurrent topics in Luigi Barone's work include Evolutionary Algorithms and Applications (23 papers), Metaheuristic Optimization Algorithms Research (21 papers) and Advanced Multi-Objective Optimization Algorithms (17 papers). Luigi Barone is often cited by papers focused on Evolutionary Algorithms and Applications (23 papers), Metaheuristic Optimization Algorithms Research (21 papers) and Advanced Multi-Objective Optimization Algorithms (17 papers). Luigi Barone collaborates with scholars based in Australia, Poland and Canada. Luigi Barone's co-authors include Lyndon While, Philip Hingston, Simon Huband, Lucas Bradstreet, Zbigniew Michalewicz, Mohammad Reza Bonyadi, Tim French, Mohammed Bennamoun, R.A. Bearman and Xiang Li and has published in prestigious journals such as Australasian Journal of Paramedicine, IEEE Transactions on Evolutionary Computation and Minerals Engineering.

In The Last Decade

Luigi Barone

45 papers receiving 3.2k citations

Hit Papers

A review of multiobjective test problems and a scalable t... 2006 2026 2012 2019 2006 2006 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luigi Barone Australia 19 2.5k 2.3k 598 309 287 47 3.3k
Shi-Zheng Zhao Singapore 10 2.1k 0.8× 2.1k 0.9× 307 0.5× 346 1.1× 231 0.8× 16 3.1k
Boris Naujoks Germany 12 1.7k 0.7× 1.4k 0.6× 431 0.7× 185 0.6× 181 0.6× 48 2.3k
Johannes Bader Switzerland 11 1.8k 0.7× 1.6k 0.7× 424 0.7× 185 0.6× 171 0.6× 12 2.5k
Hai‐Lin Liu China 25 2.1k 0.8× 2.1k 0.9× 391 0.7× 273 0.9× 202 0.7× 146 3.0k
Hemant Kumar Singh Australia 24 1.1k 0.4× 929 0.4× 468 0.8× 240 0.8× 270 0.9× 145 2.1k
Nicola Beume Germany 12 1.4k 0.6× 1.4k 0.6× 322 0.5× 171 0.6× 133 0.5× 22 2.0k
Xiaoliang Ma China 24 1.7k 0.7× 1.8k 0.8× 319 0.5× 196 0.6× 189 0.7× 61 2.5k
Andrzej Jaszkiewicz Poland 19 1.3k 0.5× 1.2k 0.5× 426 0.7× 341 1.1× 733 2.6× 41 2.3k
Jürgen Branke Germany 31 1.1k 0.5× 1.7k 0.7× 630 1.1× 322 1.0× 990 3.4× 69 3.1k
Manuel López‐Ibáñez United Kingdom 24 1.2k 0.5× 1.5k 0.6× 304 0.5× 251 0.8× 903 3.1× 84 3.0k

Countries citing papers authored by Luigi Barone

Since Specialization
Citations

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

Fields of papers citing papers by Luigi Barone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luigi Barone

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

All Works

20 of 20 papers shown
1.
Bonyadi, Mohammad Reza, Zbigniew Michalewicz, & Luigi Barone. (2013). The travelling thief problem: The first step in the transition from theoretical problems to realistic problems. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1037–1044. 79 indexed citations
2.
While, Lyndon, et al.. (2013). Multi-mine Planning using a Multi-objective Evolutionary Algorithm. UWA Profiles and Research Repository (UWA). 2003. 2902–2909. 2 indexed citations
3.
While, Lyndon, Lucas Bradstreet, & Luigi Barone. (2011). A Fast Way of Calculating Exact Hypervolumes. IEEE Transactions on Evolutionary Computation. 16(1). 86–95. 319 indexed citations breakdown →
4.
Barone, Luigi, et al.. (2010). A comparative study of NEAT and XCS in Robocode. 1–8. 8 indexed citations
5.
Bradstreet, Lucas, Luigi Barone, & Lyndon While. (2009). Updating exclusive hypervolume contributions cheaply. UWA Profiles and Research Repository (University of Western Australia). 3410. 538–544. 10 indexed citations
6.
Hingston, Philip, Luigi Barone, & Zbigniew Michalewicz. (2008). Design by Evolution: Advances in Evolutionary Design. UWA Profiles and Research Repository (University of Western Australia). 22 indexed citations
7.
Bradstreet, Lucas, Lyndon While, & Luigi Barone. (2008). A Fast Incremental Hypervolume Algorithm. IEEE Transactions on Evolutionary Computation. 12(6). 714–723. 61 indexed citations
8.
Barone, Luigi, et al.. (2008). On the behaviour of evolutionary strategies for problems with varying noise strength. 2772–2779. 4 indexed citations
9.
Barone, Luigi, et al.. (2008). Multi-objective spam filtering using an evolutionary algorithm. 123–130. 10 indexed citations
10.
While, Lyndon & Luigi Barone. (2007). Super 14 Rugby Fixture Scheduling Using a Multi-Objective Evolutionary Algorithm. 35–42. 3 indexed citations
11.
Barone, Luigi, et al.. (2006). Fixture-scheduling for the Australian Football League using a Multi-Objective Evolutionary Algorithm. Australasian Journal of Paramedicine. 2740. 954–961. 3 indexed citations
12.
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 →
13.
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
14.
Bradstreet, Lucas, Luigi Barone, & Lyndon While. (2005). Map-labelling with a multi-objective evolutionary algorithm. 1937–1944. 3 indexed citations
15.
While, Lyndon, Lucas Bradstreet, Luigi Barone, & Philip Hingston. (2005). Heuristics for Optimising the Calculation of Hypervolume for Multi-objective Optimisation Problems. Australasian Journal of Paramedicine. 3. 2225–2232. 44 indexed citations
16.
Huband, Simon, et al.. (2005). Designing Comminution Circuits with a Multi-Objective Evolutionary Algorithm. Australasian Journal of Paramedicine. 2. 1815–1822. 12 indexed citations
17.
While, Lyndon, et al.. (2002). Learning In RoboCup Keepaway Using Evolutionary Algorithms. UWA Profiles and Research Repository (University of Western Australia). 1065–1072. 25 indexed citations
18.
Barone, Luigi, Lyndon While, & Philip Hingston. (2002). Designing Crushers With A Multi-objective Evolutionary Algorithm. Genetic and Evolutionary Computation Conference. 995–1002. 14 indexed citations
19.
Barone, Luigi & Lyndon While. (2002). Evolving adaptive play for simplified poker. 108–113. 5 indexed citations
20.
Barone, Luigi & Lyndon While. (2000). Adaptive learning for poker. UWA Profiles and Research Repository (University of Western Australia). 566–573. 19 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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