Fabio Daolio

1.1k total citations
24 papers, 393 citations indexed

About

Fabio Daolio is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fabio Daolio has authored 24 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fabio Daolio's work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (9 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Fabio Daolio is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (9 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Fabio Daolio collaborates with scholars based in Switzerland, Japan and United Kingdom. Fabio Daolio's co-authors include Luca Mussi, Stefano Cagnoni, Marco Tomassini, Hernán Aguirre, Kiyoshi Tanaka, Gabriela Ochoa, Sebástien Vérel, Arnaud Liefooghe, Nadarajen Veerapen and Bilel Derbel and has published in prestigious journals such as PLoS ONE, Information Sciences and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Fabio Daolio

24 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Daolio Switzerland 12 225 112 61 31 27 24 393
Rodica Ioana Lung Romania 9 245 1.1× 148 1.3× 21 0.3× 25 0.8× 44 1.6× 41 394
Katherine M. Malan South Africa 15 547 2.4× 319 2.8× 52 0.9× 35 1.1× 27 1.0× 44 745
Jongho Nang South Korea 8 243 1.1× 94 0.8× 93 1.5× 23 0.7× 81 3.0× 37 460
Kusum Kumari Bharti India 9 351 1.6× 49 0.4× 84 1.4× 21 0.7× 44 1.6× 22 469
Reza Pulungan Indonesia 12 134 0.6× 68 0.6× 77 1.3× 26 0.8× 19 0.7× 76 441
T. V. Geetha India 9 151 0.7× 78 0.7× 59 1.0× 38 1.2× 30 1.1× 38 392
Veselka Boeva Sweden 11 151 0.7× 34 0.3× 27 0.4× 51 1.6× 32 1.2× 64 358
Mohamed H. Haggag Egypt 10 419 1.9× 115 1.0× 81 1.3× 17 0.5× 37 1.4× 44 608
Krzysztof Choromański United States 10 181 0.8× 76 0.7× 121 2.0× 18 0.6× 30 1.1× 46 407

Countries citing papers authored by Fabio Daolio

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Daolio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Daolio

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Daolio. A scholar is included among the top collaborators of Fabio Daolio 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 Fabio Daolio. Fabio Daolio 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.
Liefooghe, Arnaud, Fabio Daolio, Sebástien Vérel, et al.. (2019). Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization. IEEE Transactions on Evolutionary Computation. 24(6). 1063–1077. 47 indexed citations
2.
Daolio, Fabio, et al.. (2018). Product Characterisation towards Personalisation. 80–89. 17 indexed citations
3.
Aguirre, Hernán, et al.. (2017). Evolutionary design optimization of traffic signals applied to Quito city. PLoS ONE. 12(12). e0188757–e0188757. 8 indexed citations
4.
Medvet, Eric, et al.. (2017). Evolvability in grammatical evolution. Proceedings of the Genetic and Evolutionary Computation Conference. 977–984. 9 indexed citations
5.
Ochoa, Gabriela, et al.. (2017). The effect of landscape funnels in QAPLIB instances. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1495–1500. 4 indexed citations
6.
Daolio, Fabio, et al.. (2017). On the effectiveness of feature selection methods for gait classification under different covariate factors. Applied Soft Computing. 61. 42–57. 12 indexed citations
7.
Daolio, Fabio, Arnaud Liefooghe, Sebástien Vérel, Hernán Aguirre, & Kiyoshi Tanaka. (2017). Problem features vs. algorithm performance on rugged multi-objective combinatorial fitness landscapes. 9(3). 21–21. 1 indexed citations
8.
Veerapen, Nadarajen, Fabio Daolio, & Gabriela Ochoa. (2017). Modelling genetic improvement landscapes with local optima networks. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1543–1548. 15 indexed citations
9.
Aguirre, Hernán, et al.. (2016). Traffic signal optimization and coordination using neighborhood mutation. 1683. 395–402. 2 indexed citations
10.
Aguirre, Hernán, et al.. (2016). An effective EA for short term evolution with small population for traffic signal optimization. 45. 1–8. 2 indexed citations
11.
Aguirre, Hernán, et al.. (2016). Learning variable importance to guide recombination. HAL (Le Centre pour la Communication Scientifique Directe). 8886. 1–7. 1 indexed citations
12.
Daolio, Fabio, Arnaud Liefooghe, Sebástien Vérel, Hernán Aguirre, & Kiyoshi Tanaka. (2016). Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes. Evolutionary Computation. 25(4). 555–585. 13 indexed citations
13.
Araújo, N. A. M., et al.. (2015). Critical Cooperation Range to Improve Spatial Network Robustness. PLoS ONE. 10(3). e0118635–e0118635. 8 indexed citations
14.
Daolio, Fabio, et al.. (2014). Data-driven local optima network characterization of QAPLIB instances. 15. 453–460. 8 indexed citations
15.
Daolio, Fabio, et al.. (2014). Sport, how people choose it: A network analysis approach. European Journal of Sport Science. 15(5). 414–423. 1 indexed citations
16.
Heemskerk, Eelke M., Fabio Daolio, & Marco Tomassini. (2013). The Community Structure of the European Network of Interlocking Directorates 2005–2010. PLoS ONE. 8(7). e68581–e68581. 25 indexed citations
17.
Daolio, Fabio, et al.. (2012). Generating Robust and Efficient Networks Under Targeted Attacks. SSRN Electronic Journal. 3 indexed citations
18.
Daolio, Fabio, Marco Tomassini, Sebástien Vérel, & Gabriela Ochoa. (2011). Communities of minima in local optima networks of combinatorial spaces. Physica A Statistical Mechanics and its Applications. 390(9). 1684–1694. 21 indexed citations
19.
Mussi, Luca, Stefano Cagnoni, Elena Cardarelli, et al.. (2010). GPU implementation of a road sign detector based on particle swarm optimization. Evolutionary Intelligence. 3(3-4). 155–169. 11 indexed citations
20.
Mussi, Luca, Fabio Daolio, & Stefano Cagnoni. (2010). Evaluation of parallel particle swarm optimization algorithms within the CUDA™ architecture. Information Sciences. 181(20). 4642–4657. 122 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rodica Ioana Lung Breakdown of academic impact, for papers by Katherine M. Malan Breakdown of academic impact, for papers by Jongho Nang Breakdown of academic impact, for papers by Kusum Kumari Bharti Breakdown of academic impact, for papers by Reza Pulungan Breakdown of academic impact, for papers by T. V. Geetha Breakdown of academic impact, for papers by Veselka Boeva Breakdown of academic impact, for papers by Mohamed H. Haggag Breakdown of academic impact, for papers by Krzysztof Choromański
Rankless by CCL
2026