Rodrigo Pinto

40 papers and 3.4k indexed citations i.

About

Rodrigo Pinto is a scholar working on Education, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Rodrigo Pinto has authored 40 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Education, 13 papers in Statistics and Probability and 8 papers in Economics and Econometrics. Recurrent topics in Rodrigo Pinto’s work include Early Childhood Education and Development (17 papers), Advanced Causal Inference Techniques (13 papers) and School Choice and Performance (6 papers). Rodrigo Pinto is often cited by papers focused on Early Childhood Education and Development (17 papers), Advanced Causal Inference Techniques (13 papers) and School Choice and Performance (6 papers). Rodrigo Pinto collaborates with scholars based in United States, Germany and United Kingdom. Rodrigo Pinto's co-authors include James J. Heckman, Peter A. Savelyev, Seong Hyeok Moon, Adam Yavitz, Gabriella Conti, Elizabeth P. Pungello, Yi Pan, Frances A. Campbell, Susan Walker and Sally Grantham‐McGregor and has published in prestigious journals such as Science, American Economic Review and Econometrica.

In The Last Decade

Co-authorship network of co-authors of Rodrigo Pinto i

Fields of papers citing papers by Rodrigo Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rodrigo Pinto

Since Specialization
Citations

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