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.
A review of multiobjective test problems and a scalable test problem toolkit
20061.5k citationsSimon Huband, Philip Hingston et al.IEEE Transactions on Evolutionary Computationprofile →
A faster algorithm for calculating hypervolume
2006805 citationsLyndon While, Philip Hingston et al.IEEE Transactions on Evolutionary Computationprofile →
A Fast Way of Calculating Exact Hypervolumes
2011319 citationsLyndon While, Lucas Bradstreet et al.IEEE Transactions on Evolutionary Computationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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.
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 →
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
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
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
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.