Marcelo Azevedo Costa

1.7k total citations
81 papers, 1.2k citations indexed

About

Marcelo Azevedo Costa is a scholar working on Management Science and Operations Research, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Marcelo Azevedo Costa has authored 81 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management Science and Operations Research, 17 papers in Artificial Intelligence and 16 papers in Economics and Econometrics. Recurrent topics in Marcelo Azevedo Costa's work include Efficiency Analysis Using DEA (13 papers), Neural Networks and Applications (13 papers) and Data-Driven Disease Surveillance (10 papers). Marcelo Azevedo Costa is often cited by papers focused on Efficiency Analysis Using DEA (13 papers), Neural Networks and Applications (13 papers) and Data-Driven Disease Surveillance (10 papers). Marcelo Azevedo Costa collaborates with scholars based in Brazil, United States and Germany. Marcelo Azevedo Costa's co-authors include Renato Assunção, Antônio P. Braga, Martin Kulldorff, Ana Lúcia Miranda Lopes, Almir Tavares, Raoni Rajão, Marcelo Libânio, Marcelo C. C. Stabile, Britaldo Soares‐Filho and Andréa Aguiar Azevedo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Marcelo Azevedo Costa

76 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcelo Azevedo Costa Brazil 20 242 220 181 180 176 81 1.2k
Zhidong Cao China 20 315 1.3× 205 0.9× 140 0.8× 226 1.3× 140 0.8× 89 1.7k
Yuhao Kang United States 26 276 1.1× 316 1.4× 625 3.5× 75 0.4× 133 0.8× 66 2.3k
Christian Schneider United States 9 163 0.7× 64 0.3× 159 0.9× 68 0.4× 114 0.6× 16 1.8k
Quan Yuan China 27 104 0.4× 131 0.6× 93 0.5× 71 0.4× 135 0.8× 90 2.1k
Sauleh Siddiqui United States 24 41 0.2× 283 1.3× 88 0.5× 420 2.3× 81 0.5× 70 1.4k
Jacek B. Krawczyk New Zealand 13 278 1.1× 385 1.8× 32 0.2× 201 1.1× 113 0.6× 67 1.4k
Zhou Huang China 29 66 0.3× 126 0.6× 493 2.7× 96 0.5× 161 0.9× 177 2.6k
Yang Yue China 26 162 0.7× 251 1.1× 776 4.3× 133 0.7× 186 1.1× 115 3.2k
Yong Gao China 23 104 0.4× 92 0.4× 266 1.5× 55 0.3× 267 1.5× 92 2.0k

Countries citing papers authored by Marcelo Azevedo Costa

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Azevedo Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo Azevedo Costa. 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 Marcelo Azevedo Costa. The network helps show where Marcelo Azevedo Costa may publish in the future.

Co-authorship network of co-authors of Marcelo Azevedo Costa

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Azevedo Costa. A scholar is included among the top collaborators of Marcelo Azevedo Costa 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 Marcelo Azevedo Costa. Marcelo Azevedo Costa 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.
Costa, Marcelo Azevedo, et al.. (2024). A produção do conhecimento científico sobre hierarchical time series forecasting: uma abordagem bibliométrica. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 10(1). 24–35. 1 indexed citations
2.
Costa, Marcelo Azevedo, et al.. (2023). ELECTRICITY PRICE FORECASTING: A SYSTEMATIC LITERATURE REVIEW INFORMED BY TEXT MINING. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 14(1). 1 indexed citations
3.
Costa, Marcelo Azevedo, et al.. (2023). Application of a data-driven DTSF and benchmark models for the prediction of electricity prices in Brazil: A time-series case. Journal of Renewable and Sustainable Energy. 15(3). 3 indexed citations
4.
Costa, Marcelo Azevedo, et al.. (2022). Robust stochastic frontier analysis applied to the Brazilian electricity distribution benchmarking method. Decision Analytics Journal. 3. 100051–100051. 12 indexed citations
5.
Gomes, Crizian Saar, et al.. (2022). Spatial distribution of sedentary behavior and unhealthy eating habits in Belo Horizonte, Brazil: the role of the neighborhood environment. Ciência & Saúde Coletiva. 27(4). 1503–1512. 1 indexed citations
6.
Barrios, Carlos, Virginie Lafage, Renaud Lafage, et al.. (2021). Vertebral Coplanar Alignment Technique Versus Bilateral Apical Vertebral Derotation Technique in Neuromuscular Scoliosis. Global Spine Journal. 13(1). 104–112. 1 indexed citations
7.
Dias, Nelson Luı́s, et al.. (2021). An analog period method for gap‐filling of latent heat flux measurements. Hydrological Processes. 35(4). 3 indexed citations
8.
Costa, Marcelo Azevedo, et al.. (2020). Similarity search in electricity prices: An ultra-fast method for finding analogs. Journal of Renewable and Sustainable Energy. 12(5). 4 indexed citations
9.
Costa, Marcelo Azevedo, et al.. (2020). Extended Isolation Forests for Fault Detection in Small Hydroelectric Plants. Sustainability. 12(16). 6421–6421. 38 indexed citations
10.
Costa, Marcelo Azevedo, et al.. (2019). Performance benchmarking models for electricity transmission regulation: Caveats concerning the Brazilian case. Utilities Policy. 60. 100960–100960. 12 indexed citations
11.
Costa, Marcelo Azevedo, et al.. (2018). A new item response theory model to adjust data allowing examinee choice. PLoS ONE. 13(2). e0191600–e0191600. 2 indexed citations
12.
Costa, Marcelo Azevedo, et al.. (2015). Training Multi-Layer Perceptron with Multi-Objective Optimization and Spherical Weights Representation.. The European Symposium on Artificial Neural Networks. 2 indexed citations
13.
Costa, Marcelo Azevedo, et al.. (2015). Sequential selection of variables using short permutation procedures and multiple adjustments: An application to genomic data. Statistical Methods in Medical Research. 26(2). 997–1020. 2 indexed citations
14.
Lobato, Elisa, et al.. (2013). Reproductive physiology of sheep.. PubVet. 7(15).
15.
Lobato, Elisa, et al.. (2013). Reproductive management of sheep.. PubVet. 7(15). 3 indexed citations
16.
Costa, Marcelo Azevedo, et al.. (2012). Convergence analysis of sliding mode trajectories in multi-objective neural networks learning. Neural Networks. 33. 21–31. 9 indexed citations
17.
Braga, Antônio P., et al.. (2008). A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy.. The European Symposium on Artificial Neural Networks. 71–76. 4 indexed citations
18.
Costa, Marcelo Azevedo, et al.. (2005). Detecção de Conglomerados Espaciais com Geometria Arbitrária.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 213–222. 2 indexed citations
19.
Costa, Marcelo Azevedo, Antônio P. Braga, & B.R. Menezes. (2003). Constructive and pruning methods for neural network design. 49–54. 6 indexed citations
20.
Costa, Marcelo Azevedo, et al.. (2002). Improving neural networks generalization with new constructive and pruning methods. Journal of Intelligent & Fuzzy Systems. 13(2). 75–83. 11 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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