Rosa L. Figueroa

19 papers and 481 indexed citations i.

About

Rosa L. Figueroa is a scholar working on Artificial Intelligence, Health Information Management and Molecular Biology. According to data from OpenAlex, Rosa L. Figueroa has authored 19 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Health Information Management and 4 papers in Molecular Biology. Recurrent topics in Rosa L. Figueroa’s work include Topic Modeling (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Text and Document Classification Technologies (4 papers). Rosa L. Figueroa is often cited by papers focused on Topic Modeling (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Text and Document Classification Technologies (4 papers). Rosa L. Figueroa collaborates with scholars based in Chile, United States and Spain. Rosa L. Figueroa's co-authors include Qing Zeng‐Treitler, Long Ngo, Sasikiran Kandula, Sergey Goryachev, Eduardo P. Wiechmann, Esteban J. Pino, Jorge E. Pezoa, Carla Taramasco, Héctor Allende‐Cid and Alejandro J. Rojas and has published in prestigious journals such as IEEE Access, Phytopathology and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Rosa L. Figueroa i

Fields of papers citing papers by Rosa L. Figueroa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa L. Figueroa. 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 Rosa L. Figueroa. The network helps show where Rosa L. Figueroa may publish in the future.

Countries citing papers authored by Rosa L. Figueroa

Since Specialization
Citations

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