Ronaldo Dias

31 papers and 229 indexed citations i.

About

Ronaldo Dias is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ronaldo Dias has authored 31 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ronaldo Dias’s work include Statistical Methods and Inference (17 papers), Advanced Statistical Methods and Models (8 papers) and Bayesian Methods and Mixture Models (7 papers). Ronaldo Dias is often cited by papers focused on Statistical Methods and Inference (17 papers), Advanced Statistical Methods and Models (8 papers) and Bayesian Methods and Mixture Models (7 papers). Ronaldo Dias collaborates with scholars based in Brazil, United States and Colombia. Ronaldo Dias's co-authors include Adriano Zanin Zambom, Nancy L. Garcia, Dani Gamerman, Luis M. Castro, Víctor H. Lachos, Alexandra M. Schmidt, Olushina Olawale Awe, Camila P. E. de Souza, Hedibert F. Lopes and Marcelo C. Medeiros and has published in prestigious journals such as Technometrics, Journal of Econometrics and Statistics in Medicine.

In The Last Decade

Co-authorship network of co-authors of Ronaldo Dias i

Fields of papers citing papers by Ronaldo Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ronaldo Dias

Since Specialization
Citations

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

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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