María Eugenia Castellanos

42 papers and 524 indexed citations i.

About

María Eugenia Castellanos is a scholar working on Statistics and Probability, Artificial Intelligence and Plant Science. According to data from OpenAlex, María Eugenia Castellanos has authored 42 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 6 papers in Plant Science. Recurrent topics in María Eugenia Castellanos’s work include Statistical Methods and Bayesian Inference (14 papers), Statistical Methods and Inference (12 papers) and Statistical Methods in Clinical Trials (6 papers). María Eugenia Castellanos is often cited by papers focused on Statistical Methods and Bayesian Inference (14 papers), Statistical Methods and Inference (12 papers) and Statistical Methods in Clinical Trials (6 papers). María Eugenia Castellanos collaborates with scholars based in Spain, Italy and Switzerland. María Eugenia Castellanos's co-authors include Stefano Cabras, Marco Leonti, M. J. Bayarri, Caroline S. Weckerle, Laura Casu, María Dolores Esteban, Domingo Morales, Igor Vajda, Dani Gamerman and Alicia Quirós and has published in prestigious journals such as Biometrics, Statistics in Medicine and Journal of Ethnopharmacology.

In The Last Decade

Co-authorship network of co-authors of María Eugenia Castellanos i

Fields of papers citing papers by María Eugenia Castellanos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Eugenia Castellanos. 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 María Eugenia Castellanos. The network helps show where María Eugenia Castellanos may publish in the future.

Countries citing papers authored by María Eugenia Castellanos

Since Specialization
Citations

This map shows the geographic impact of María Eugenia Castellanos'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 María Eugenia Castellanos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Eugenia Castellanos 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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2025