Elsa Medina

4 papers and 26 indexed citations i.

About

Elsa Medina is a scholar working on Statistics and Probability, Artificial Intelligence and Education. According to data from OpenAlex, Elsa Medina has authored 4 papers receiving a total of 26 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Statistics and Probability, 1 paper in Artificial Intelligence and 1 paper in Education. Recurrent topics in Elsa Medina’s work include Statistics Education and Methodologies (2 papers), Mathematics Education and Teaching Techniques (1 paper) and Neural Networks and Applications (1 paper). Elsa Medina is often cited by papers focused on Statistics Education and Methodologies (2 papers), Mathematics Education and Teaching Techniques (1 paper) and Neural Networks and Applications (1 paper). Elsa Medina collaborates with scholars based in United States, Mexico and Spain. Elsa Medina's co-authors include Beth Chance, Andrew Zieffler, Cary J. Roseth, Dani Ben‐Zvi, Joan Garfield and José Miguel Contreras and has published in prestigious journals such as Statistics Education Research Journal, Springer eBooks and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Co-authorship network of co-authors of Elsa Medina i

Fields of papers citing papers by Elsa Medina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elsa Medina

Since Specialization
Citations

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