Andrea Acevedo

12 papers and 500 indexed citations i.

About

Andrea Acevedo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Andrea Acevedo has authored 12 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Biophysics. Recurrent topics in Andrea Acevedo’s work include Digital Imaging for Blood Diseases (11 papers), AI in cancer detection (8 papers) and Cell Image Analysis Techniques (7 papers). Andrea Acevedo is often cited by papers focused on Digital Imaging for Blood Diseases (11 papers), AI in cancer detection (8 papers) and Cell Image Analysis Techniques (7 papers). Andrea Acevedo collaborates with scholars based in Spain and Colombia. Andrea Acevedo's co-authors include José Rodellar, Anna Merino, Santiago Alférez, Ángel Molina, Laura Boldú, Alexandru Vlagea, Natalia Egri, Oriol Sibila and Manel Juan and has published in prestigious journals such as Journal of Clinical Pathology, American Journal of Clinical Pathology and Computer Methods and Programs in Biomedicine.

In The Last Decade

Co-authorship network of co-authors of Andrea Acevedo i

Fields of papers citing papers by Andrea Acevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea Acevedo

Since Specialization
Citations

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