Gloria M. Díaz

26 papers and 221 indexed citations i.

About

Gloria M. Díaz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gloria M. Díaz has authored 26 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gloria M. Díaz’s work include AI in cancer detection (6 papers), Image Retrieval and Classification Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Gloria M. Díaz is often cited by papers focused on AI in cancer detection (6 papers), Image Retrieval and Classification Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Gloria M. Díaz collaborates with scholars based in Colombia, United States and Spain. Gloria M. Díaz's co-authors include Eduardo Romero, Fabio A. González, Ángel Cruz-Roa, Sonia Osorio, Fernando Ezquer, Mauro Callejas-Cuervo, Francisco Gómez Gómez, Andrés F. Ruíz-Olaya, Orietta Nicolis and Juan A. Hernández‐Tamames and has published in prestigious journals such as Expert Systems with Applications, Sensors and Journal of Vision.

In The Last Decade

Co-authorship network of co-authors of Gloria M. Díaz i

Fields of papers citing papers by Gloria M. Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gloria M. Díaz. 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 Gloria M. Díaz. The network helps show where Gloria M. Díaz may publish in the future.

Countries citing papers authored by Gloria M. Díaz

Since Specialization
Citations

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