Sara del Río

13 papers and 934 indexed citations i.

About

Sara del Río is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Sara del Río has authored 13 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Sara del Río’s work include Imbalanced Data Classification Techniques (8 papers), Machine Learning and Data Classification (4 papers) and Data Mining Algorithms and Applications (4 papers). Sara del Río is often cited by papers focused on Imbalanced Data Classification Techniques (8 papers), Machine Learning and Data Classification (4 papers) and Data Mining Algorithms and Applications (4 papers). Sara del Río collaborates with scholars based in Spain, Saudi Arabia and Belgium. Sara del Río's co-authors include Francisco Herrera, José M. Benítez, Victoria López, Alberto Fernández, Nitesh V. Chawla, Isaac Triguero, Abdullah Bawakid, María José del Jesús, Daniel Peralta and Sergio Ramírez‐Gallego and has published in prestigious journals such as Information Sciences, Fuzzy Sets and Systems and BioMed Research International.

In The Last Decade

Co-authorship network of co-authors of Sara del Río i

Fields of papers citing papers by Sara del Río

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara del Río. 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 Sara del Río. The network helps show where Sara del Río may publish in the future.

Countries citing papers authored by Sara del Río

Since Specialization
Citations

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