Mário de Castro

483 total citations
11 papers, 333 citations indexed

About

Mário de Castro is a scholar working on Statistics and Probability, Artificial Intelligence and Strategy and Management. According to data from OpenAlex, Mário de Castro has authored 11 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 4 papers in Artificial Intelligence and 2 papers in Strategy and Management. Recurrent topics in Mário de Castro's work include Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). Mário de Castro is often cited by papers focused on Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). Mário de Castro collaborates with scholars based in Brazil, Spain and Chile. Mário de Castro's co-authors include Rodrigo de Oliveira Plotze, Maurício Falvo, Odemir Martinez Bruno, Vicente G. Cancho, Josemar Rodrigues, Rogério Cerávolo Calia, Fábio Müller Guerrini, André Pimenta Freire, Renata Pontin de Mattos Fortes and Leandro Luiz Giatti and has published in prestigious journals such as Journal of Cleaner Production, Information Sciences and Computer Methods and Programs in Biomedicine.

In The Last Decade

Mário de Castro

10 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mário de Castro Brazil 7 73 71 54 50 44 11 333
Nur Iriawan Indonesia 9 23 0.3× 43 0.6× 80 1.5× 134 2.7× 8 0.2× 106 393
Yuhang Xu United States 8 115 1.6× 28 0.4× 6 0.1× 12 0.2× 21 0.5× 16 263
Jiahui Wang China 9 97 1.3× 110 1.5× 14 0.3× 41 0.8× 9 0.2× 14 767
Amjad Ali Pakistan 11 53 0.7× 103 1.5× 14 0.3× 34 0.7× 9 0.2× 44 382
Petar Vračar Slovenia 5 76 1.0× 15 0.2× 10 0.2× 37 0.7× 10 0.2× 10 303
Rosaria Lombardo Italy 13 12 0.2× 87 1.2× 8 0.1× 33 0.7× 18 0.4× 53 442
Tonio Di Battista Italy 12 24 0.3× 68 1.0× 11 0.2× 73 1.5× 19 0.4× 48 471
David H. Annis United States 10 11 0.2× 92 1.3× 13 0.2× 53 1.1× 9 0.2× 22 459
Stefano Antonio Gattone Italy 11 9 0.1× 58 0.8× 24 0.4× 92 1.8× 26 0.6× 33 416

Countries citing papers authored by Mário de Castro

Since Specialization
Citations

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

Fields of papers citing papers by Mário de Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mário de Castro. 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 Mário de Castro. The network helps show where Mário de Castro may publish in the future.

Co-authorship network of co-authors of Mário de Castro

This figure shows the co-authorship network connecting the top 25 collaborators of Mário de Castro. A scholar is included among the top collaborators of Mário de Castro 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 Mário de Castro. Mário de Castro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Calsavara, Vinícius F., Agatha Sacramento Rodrigues, Vera Tomazella, & Mário de Castro. (2016). Frailty models power variance function with cure fraction and latent risk factors negative binomial. Communication in Statistics- Theory and Methods. 46(19). 9763–9776. 7 indexed citations
2.
Castro, Mário de, et al.. (2015). Partially linear beta regression model with autoregressive errors. Test. 24(4). 752–775. 5 indexed citations
3.
Louzada, Francisco, et al.. (2013). Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures. Journal of Applied Statistics. 41(3). 622–634. 2 indexed citations
4.
Castro, Mário de, Ming‐Hui Chen, Joseph G. Ibrahim, & John P. Klein. (2013). Bayesian Transformation Models for Multivariate Survival Data. Scandinavian Journal of Statistics. 41(1). 187–199.
5.
Santos, Fernando César Almada, et al.. (2012). Análise das relações entre estratégia de produção, práticas e desempenho operacional. Production. 22(3). 502–516. 3 indexed citations
6.
Cancho, Vicente G., Josemar Rodrigues, & Mário de Castro. (2010). A flexible model for survival data with a cure rate: a Bayesian approach. Journal of Applied Statistics. 38(1). 57–70. 41 indexed citations
7.
Castro, Mário de, Vicente G. Cancho, & Josemar Rodrigues. (2009). A hands-on approach for fitting long-term survival models under the GAMLSS framework. Computer Methods and Programs in Biomedicine. 97(2). 168–177. 22 indexed citations
8.
Calia, Rogério Cerávolo, Fábio Müller Guerrini, & Mário de Castro. (2009). The impact of Six Sigma in the performance of a Pollution Prevention program. Journal of Cleaner Production. 17(15). 1303–1310. 58 indexed citations
9.
Freire, André Pimenta, Mário de Castro, & Renata Pontin de Mattos Fortes. (2009). Acessibilidade dos sítios web dos governos estaduais brasileiros: uma análise quantitativa entre 1996 e 2007. Revista de Administração Pública. 43(2). 395–414. 10 indexed citations
10.
Bruno, Odemir Martinez, Rodrigo de Oliveira Plotze, Maurício Falvo, & Mário de Castro. (2008). Fractal dimension applied to plant identification. Information Sciences. 178(12). 2722–2733. 167 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

Rankless by CCL
2026