Fernando A. Quintana

About

Fernando A. Quintana is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Fernando A. Quintana has authored 82 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 57 papers in Statistics and Probability and 9 papers in Molecular Biology. Recurrent topics in Fernando A. Quintana’s work include Bayesian Methods and Mixture Models (62 papers), Statistical Methods and Bayesian Inference (36 papers) and Statistical Methods and Inference (34 papers). Fernando A. Quintana is often cited by papers focused on Bayesian Methods and Mixture Models (62 papers), Statistical Methods and Bayesian Inference (36 papers) and Statistical Methods and Inference (34 papers). Fernando A. Quintana collaborates with scholars based in Chile, United States and Italy. Fernando A. Quintana's co-authors include Peter Müller, Alejandro Jara, Héctor W. Gómez, Gary L. Rosner, Reinaldo B. Arellano‐Valle, Michael A. Newton, Rolando de la Cruz, Johan A. den Boon, Srikumar Sengupta and Paul Ahlquist and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Fernando A. Quintana i

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Fields of papers citing papers by Fernando A. Quintana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando A. Quintana. 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 Fernando A. Quintana. The network helps show where Fernando A. Quintana may publish in the future.

Countries citing papers authored by Fernando A. Quintana

Since Specialization

Citations

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