Felipe Campelo

1.4k total citations
64 papers, 892 citations indexed

About

Felipe Campelo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Felipe Campelo has authored 64 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 27 papers in Computational Theory and Mathematics and 12 papers in Biomedical Engineering. Recurrent topics in Felipe Campelo's work include Metaheuristic Optimization Algorithms Research (28 papers), Advanced Multi-Objective Optimization Algorithms (27 papers) and Evolutionary Algorithms and Applications (14 papers). Felipe Campelo is often cited by papers focused on Metaheuristic Optimization Algorithms Research (28 papers), Advanced Multi-Objective Optimization Algorithms (27 papers) and Evolutionary Algorithms and Applications (14 papers). Felipe Campelo collaborates with scholars based in Brazil, Japan and United Kingdom. Felipe Campelo's co-authors include Hajime Igarashi, Frederico Gadelha Guimarães, J.A. Ramírez, Ricardo H. C. Takahashi, Eduardo G. Carrano, Kota Watanabe, Claus Aranha, Oriane M. Neto, Lucas S. Batista and Yuki Sato and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Power Systems.

In The Last Decade

Felipe Campelo

61 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felipe Campelo Brazil 16 300 282 274 149 117 64 892
João Vasconcelos Brazil 20 295 1.0× 295 1.0× 378 1.4× 250 1.7× 88 0.8× 76 1.3k
Michael de la Maza United States 4 329 1.1× 150 0.5× 91 0.3× 116 0.8× 51 0.4× 8 837
Péter Bauer United States 20 192 0.6× 128 0.5× 268 1.0× 270 1.8× 41 0.4× 126 1.2k
Rohit Salgotra India 25 902 3.0× 380 1.3× 543 2.0× 131 0.9× 44 0.4× 77 1.8k
Adem Kalınlı Türkiye 14 308 1.0× 74 0.3× 170 0.6× 109 0.7× 102 0.9× 39 789
A. L. Custódio Portugal 11 183 0.6× 348 1.2× 39 0.1× 129 0.9× 82 0.7× 30 777
M. J. Mahmoodabadi Iran 20 373 1.2× 187 0.7× 97 0.4× 612 4.1× 128 1.1× 103 1.1k
Rahul Khandelwal India 6 191 0.6× 138 0.5× 66 0.2× 70 0.5× 112 1.0× 8 515
Yu Pang China 16 139 0.5× 102 0.4× 199 0.7× 81 0.5× 23 0.2× 80 922

Countries citing papers authored by Felipe Campelo

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Campelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe Campelo

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Campelo. A scholar is included among the top collaborators of Felipe Campelo 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 Felipe Campelo. Felipe Campelo 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.
Pritchard, Michael, et al.. (2025). An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification. Journal of Neural Engineering. 22(4). 46013–46013.
2.
Al-Mallahi, Ahmad, et al.. (2025). Accurate estimation of tuber size in large potato throughput at potato storage using machine vision and machine learning techniques. Smart Agricultural Technology. 10. 100860–100860. 2 indexed citations
3.
Al-Mallahi, Ahmad, et al.. (2024). Calibrating lab and field reflectance spectra for nutrient estimation in potato plants using local support vector regression models. SHILAP Revista de lepidopterología. 8. 100492–100492. 2 indexed citations
4.
Campelo, Felipe & Francisco Pereira Lobo. (2024). The rise of taxon-specific epitope predictors. Briefings in Bioinformatics. 25(2). 1 indexed citations
5.
Campelo, Felipe, João Luís Reis-Cunha, Vanêssa Gomes Fraga, et al.. (2024). Phylogeny-aware linear B-cell epitope predictor detects targets associated with immune response to orthopoxviruses. Briefings in Bioinformatics. 25(6). 1 indexed citations
6.
Campelo, Felipe & Claus Aranha. (2023). Lessons from the Evolutionary Computation Bestiary. Artificial Life. 29(4). 421–432. 14 indexed citations
7.
Imada, Eddie L., Luigi Marchionni, Luiz‐Eduardo Del‐Bem, et al.. (2023). CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species. Patterns. 4(6). 100728–100728. 2 indexed citations
8.
Takahashi, Ricardo H. C., et al.. (2022). SARS-CoV-2 IgG Seroprevalence among Blood Donors as a Monitor of the COVID-19 Epidemic, Brazil. Emerging infectious diseases. 28(4). 734–742. 4 indexed citations
9.
Campelo, Felipe, et al.. (2018). Sample size estimation for power and accuracy in the experimental comparison of algorithms. Journal of Heuristics. 25(2). 305–338. 9 indexed citations
10.
Campelo, Felipe, et al.. (2017). Multiobjective evolutionary algorithms for operational planning problems in open-pit mining. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 259–260. 1 indexed citations
11.
Campelo, Felipe, et al.. (2016). Experimental Investigation of Recombination Operators for Differential Evolution. Explore Bristol Research. 221–228. 3 indexed citations
12.
Sato, Yuki, Felipe Campelo, & Hajime Igarashi. (2013). Meander Line Antenna Design Using an Adaptive Genetic Algorithm. IEEE Transactions on Magnetics. 49(5). 1889–1892. 15 indexed citations
13.
Batista, Lucas S., et al.. (2013). Computation of Mixed Strategy Non-dominated Nash Equilibria in Game Theory. 175. 242–247. 1 indexed citations
14.
Ramírez, J.A., et al.. (2013). A New Algorithm Based on Differential Evolution for Combinatorial Optimization. 175. 60–66. 6 indexed citations
15.
Campelo, Felipe, et al.. (2012). Multiobjective vehicle routing problem with fixed delivery and optional collections. Optimization Letters. 7(7). 1419–1431. 11 indexed citations
16.
Batista, Lucas S., Felipe Campelo, Frederico Gadelha Guimarães, & J.A. Ramírez. (2011). A comparison of dominance criteria in many-objective optimization problems. 2359–2366. 40 indexed citations
17.
Campelo, Felipe, Frederico Gadelha Guimarães, & Hajime Igarashi. (2008). Multiobjective Optimization Using Compromise Programming and an Immune Algorithm. IEEE Transactions on Magnetics. 44(6). 982–985. 8 indexed citations
18.
Campelo, Felipe, et al.. (2007). Optimization of Cost Functions Using Evolutionary Algorithms With Local Learning and Local Search. IEEE Transactions on Magnetics. 43(4). 1641–1644. 31 indexed citations
19.
Guimarães, Frederico Gadelha, Reinaldo M. Palhares, Felipe Campelo, & Hajime Igarashi. (2007). Design of mixed H2/H∞ control systems using algorithms inspired by the immune system. Information Sciences. 177(20). 4368–4386. 20 indexed citations
20.
Guimarães, Frederico Gadelha, Felipe Campelo, Hajime Igarashi, David A. Lowther, & J.A. Ramírez. (2006). Optimization of Cost Functions Using Evolutionary Algorithms with Local Learning and Local Search. 166–166. 1 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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