João Vasconcelos

1.8k total citations
76 papers, 1.3k citations indexed

About

João Vasconcelos is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, João Vasconcelos has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 24 papers in Artificial Intelligence and 21 papers in Computational Theory and Mathematics. Recurrent topics in João Vasconcelos's work include Advanced Multi-Objective Optimization Algorithms (20 papers), Metaheuristic Optimization Algorithms Research (15 papers) and Evolutionary Algorithms and Applications (12 papers). João Vasconcelos is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (20 papers), Metaheuristic Optimization Algorithms Research (15 papers) and Evolutionary Algorithms and Applications (12 papers). João Vasconcelos collaborates with scholars based in Brazil, France and Peru. João Vasconcelos's co-authors include Ricardo H. C. Takahashi, J.A. Ramírez, Laurent Krähenbühl, R. Saldanha, Roberta Parreiras, D.A.G. Vieira, Lúcia Galvão de Albuquerque, Ricardo Adriano, José Bento Sterman Ferraz and Joanir Pereira Eler and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Neurocomputing.

In The Last Decade

João Vasconcelos

72 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
João Vasconcelos Brazil 20 378 295 295 250 208 76 1.3k
Ricardo H. C. Takahashi Brazil 24 657 1.7× 576 2.0× 485 1.6× 802 3.2× 25 0.1× 198 2.5k
Jonathan Vincent United Kingdom 13 116 0.3× 528 1.8× 229 0.8× 146 0.6× 14 0.1× 26 1.3k
Jianjun Jiao China 29 272 0.7× 934 3.2× 354 1.2× 242 1.0× 559 2.7× 131 2.6k
Chandra Shekhar India 23 409 1.1× 86 0.3× 45 0.2× 50 0.2× 29 0.1× 222 1.8k
Asier Ibeas Spain 29 266 0.7× 127 0.4× 147 0.5× 1.0k 4.2× 211 1.0× 209 2.5k
Erivelton G. Nepomuceno Brazil 20 145 0.4× 291 1.0× 222 0.8× 145 0.6× 12 0.1× 123 1.3k
Muhammad Adil Khan Pakistan 34 607 1.6× 64 0.2× 194 0.7× 346 1.4× 18 0.1× 183 3.6k
Mohammad Taghi Hamidi Beheshti Iran 23 479 1.3× 165 0.6× 35 0.1× 657 2.6× 13 0.1× 122 1.4k
Rudolf Scitovski Croatia 18 96 0.3× 201 0.7× 92 0.3× 70 0.3× 27 0.1× 89 1.0k
Qingbiao Wu China 22 189 0.5× 96 0.3× 411 1.4× 77 0.3× 28 0.1× 111 2.0k

Countries citing papers authored by João Vasconcelos

Since Specialization
Citations

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

Fields of papers citing papers by João Vasconcelos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Vasconcelos

This figure shows the co-authorship network connecting the top 25 collaborators of João Vasconcelos. A scholar is included among the top collaborators of João Vasconcelos 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 João Vasconcelos. João Vasconcelos 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.
Vasconcelos, João, et al.. (2023). Distribution Network Reconfiguration Using Iterative Branch Exchange and Clustering Technique. Energies. 16(5). 2395–2395. 15 indexed citations
2.
Lopes, Ivan J. S., et al.. (2021). Optimal placement of surge arresters for transmission lines lightning performance improvement. Electric Power Systems Research. 202. 107583–107583. 11 indexed citations
3.
Oliveira, Bruna Silva, et al.. (2020). A Simulation-Optimisation approach for hospital beds allocation. International Journal of Medical Informatics. 141. 104174–104174. 15 indexed citations
4.
Vasconcelos, João, et al.. (2018). Robust Design of an Axial-Flux Permanent Magnet Synchronous Generator Based on Many-Objective Optimization Approach. IEEE Transactions on Magnetics. 54(3). 1–4. 19 indexed citations
5.
Vasconcelos, João, et al.. (2017). Optimal Selection and Arrangement of Cables for Compact Overhead Transmission Lines of 138/230 kV. IEEE Latin America Transactions. 15(8). 1460–1466. 2 indexed citations
6.
Carrano, Eduardo G., et al.. (2017). A comparative study of optimization models in genetic programming-based rule extraction problems. Soft Computing. 23(4). 1179–1197. 1 indexed citations
7.
Vasconcelos, João, et al.. (2017). Decision maker iterative-based framework for multiobjective robust optimization. Neurocomputing. 242. 113–130. 8 indexed citations
8.
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
9.
Vasconcelos, João, et al.. (2013). A practical codification and its analysis for the generalized reconfiguration problem. Electric Power Systems Research. 97. 19–33. 11 indexed citations
10.
Vollaire, Christian, et al.. (2013). Conducted EMI of DC–DC Converters With Parametric Uncertainties. IEEE Transactions on Electromagnetic Compatibility. 55(4). 699–706. 16 indexed citations
11.
Vollaire, Christian, et al.. (2012). Conducted interferences of power converters with parametric uncertainties in the frequency domain. SPIRE - Sciences Po Institutional REpository. 681–684. 2 indexed citations
12.
Pedrosa, Victor Breno, Joanir Pereira Eler, José Bento Sterman Ferraz, et al.. (2010). Parâmetros genéticos do peso adulto e características de desenvolvimento ponderal na raça Nelore. Revista Brasileira de Saúde e Produção Animal. 11(1). 104–113. 16 indexed citations
13.
Pennachin, Cassio, Moshe Looks, & João Vasconcelos. (2010). Robust symbolic regression with affine arithmetic. 917–924. 8 indexed citations
14.
Adriano, Ricardo, et al.. (2009). Robust Multi-Objective TEAM 22 Problem: A Case Study of Uncertainties in Design Optimization. IEEE Transactions on Magnetics. 45(3). 1028–1031. 46 indexed citations
15.
Vasconcelos, João, Annaíza Braga Bignardi, Joanir Pereira Eler, José Bento Sterman Ferraz, & Maria Eugênia Zerlotti Mercadante. (2008). Análises alternativas no estudo da reconcepção de novilhas Nelore. SHILAP Revista de lepidopterología. 65(2). 131–135. 5 indexed citations
16.
Vieira, D.A.G., Ricardo H. C. Takahashi, Vasile Palade, João Vasconcelos, & Walmir M. Caminhas. (2008). The $Q$-Norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization Problem. IEEE Transactions on Neural Networks. 19(8). 1415–1430. 20 indexed citations
17.
Parreiras, Roberta & João Vasconcelos. (2008). Decision making in multiobjective optimization aided by the multicriteria tournament decision method. Nonlinear Analysis. 71(12). e191–e198. 28 indexed citations
18.
Moreira, Fernando J. S., et al.. (2007). Optimal Number of Basis Functions in the MoM Solutions for Bodies of Revolution. 6(1). 220–235. 3 indexed citations
19.
Vasconcelos, João, et al.. (2002). NSGA WITH ELITISM APPLIED TO SOLVE MULTIOBJECTIVE OPTIMIZATION PROBLEMS. 2(6). 59–69. 4 indexed citations
20.
Vasconcelos, João, et al.. (1994). Design optimization in electrostatic field analysis using the BEM and the augmented Lagrangian method. IEEE Transactions on Magnetics. 30(5). 3443–3446. 4 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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