Aldo M. Garay

About

Aldo M. Garay is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Aldo M. Garay has authored 19 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 3 papers in Finance. Recurrent topics in Aldo M. Garay’s work include Statistical Distribution Estimation and Applications (14 papers), Bayesian Methods and Mixture Models (13 papers) and Statistical Methods and Bayesian Inference (12 papers). Aldo M. Garay is often cited by papers focused on Statistical Distribution Estimation and Applications (14 papers), Bayesian Methods and Mixture Models (13 papers) and Statistical Methods and Bayesian Inference (12 papers). Aldo M. Garay collaborates with scholars based in Brazil, United States and Taiwan. Aldo M. Garay's co-authors include Víctor H. Lachos, Edwin M. M. Ortega, Elizabeth M. Hashimoto, Celso Rômulo Barbosa Cabral, Heleno Bolfarine, Dipankar Bandyopadhyay, Luis M. Castro, Tsung‐I Lin, Jacek Leśkow and Dipak K. Dey and has published in prestigious journals such as Computational Statistics & Data Analysis, Statistical Methods in Medical Research and Journal of Statistical Planning and Inference.

In The Last Decade

Co-authorship network of co-authors of Aldo M. Garay i

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Fields of papers citing papers by Aldo M. Garay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aldo M. Garay. 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 Aldo M. Garay. The network helps show where Aldo M. Garay may publish in the future.

Countries citing papers authored by Aldo M. Garay

Since Specialization

Citations

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