Felipe Campelo

61 papers receiving 843 citations

Peers

Felipe Campelo
Comparison fields: 5 of 92
  • Computational Theory and Mathematics 282
  • Industrial and Manufacturing Engineering 96
  • Artificial Intelligence 300
  • Control and Systems Engineering 149
  • Civil and Structural Engineering 117
Replace João Vasconcelos with:
João Vasconcelos Brazil
Keiichiro Yasuda Japan
Deepak Sharma India
Tong Han China
M.V.C. Rao Malaysia
Rahul Khandelwal India
Qinqin Fan China
Michael de la Maza United States
Rohit Salgotra India
Zhicheng Ji China
Felipe Campelo relative to João Vasconcelos Brazil João Vasconcelos's profile →
Citations per field
00.5×1.5×2.0×
João Vasconcelos · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Felipe Campelo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Felipe Campelo Line = papers co-authored together Felipe Campelo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202199
2 200598
3 200790
4 201056
5 201550
6 201140
7 200637
8 200731
9 201524
10 200622
11 200720
12 201620
13 200718
14 202217
15 201315
16 201515
17 202314
18 201813
19 201912
20 201412

About Felipe Campelo

Felipe Campelo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Biomedical Engineering, Electrical and Electronic Engineering and Civil and Structural Engineering, having authored 64 papers that have together received 892 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (28 papers), Advanced Multi-Objective Optimization Algorithms (27 papers), Evolutionary Algorithms and Applications (14 papers), Artificial Immune Systems Applications (10 papers), Topology Optimization in Engineering (8 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Optimal Experimental Design Methods (4 papers). The work is most often cited by research in Computational Theory and Mathematics (282 citations), Industrial and Manufacturing Engineering (96 citations), Artificial Intelligence (300 citations), Control and Systems Engineering (149 citations) and Civil and Structural Engineering (117 citations). Felipe Campelo has collaborated with scholars based in Brazil, Japan and United Kingdom. Frequent 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. Their work appears in journals such as IEEE Transactions on Magnetics, Information Sciences, Optimization Letters, Briefings in Bioinformatics and Computers and Electronics in Agriculture.

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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