Alejandro Jara

57 papers and 1.9k indexed citations i.

About

Alejandro Jara is a scholar working on Artificial Intelligence, Statistics and Probability and Infectious Diseases. According to data from OpenAlex, Alejandro Jara has authored 57 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 24 papers in Statistics and Probability and 10 papers in Infectious Diseases. Recurrent topics in Alejandro Jara’s work include Bayesian Methods and Mixture Models (25 papers), Statistical Methods and Bayesian Inference (17 papers) and Statistical Methods and Inference (16 papers). Alejandro Jara is often cited by papers focused on Bayesian Methods and Mixture Models (25 papers), Statistical Methods and Bayesian Inference (17 papers) and Statistical Methods and Inference (16 papers). Alejandro Jara collaborates with scholars based in Chile, United States and Belgium. Alejandro Jara's co-authors include Fernando A. Quintana, Timothy Hanson, Rafael Araos, Eduardo A. Undurraga, M. Cecilia Gonzalez Corcia, Johanna Acevedo, Heriberto García-Escorza, Pamela Suárez, Alejandra Pizarro and Paulina Leighton and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Co-authorship network of co-authors of Alejandro Jara i

Fields of papers citing papers by Alejandro Jara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alejandro Jara

Since Specialization
Citations

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