Danilo Alvares

37 papers and 320 indexed citations i.

About

Danilo Alvares is a scholar working on Statistics and Probability, Artificial Intelligence and Education. According to data from OpenAlex, Danilo Alvares has authored 37 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 6 papers in Education. Recurrent topics in Danilo Alvares’s work include Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (9 papers) and Innovative Teaching and Learning Methods (5 papers). Danilo Alvares is often cited by papers focused on Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (9 papers) and Innovative Teaching and Learning Methods (5 papers). Danilo Alvares collaborates with scholars based in Chile, United Kingdom and Spain. Danilo Alvares's co-authors include Carmen Armero, Miguél Nussbaum, Anabel Forte, Virgilio Gómez‐Rubio, Francisco J. Rubio, Eleni‐Rosalina Andrinopoulou, Catherine Lee, Montserrat Rué, Sebastien Haneuse and Lluís Blanch and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Environment International.

In The Last Decade

Co-authorship network of co-authors of Danilo Alvares i

Fields of papers citing papers by Danilo Alvares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danilo Alvares

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025