Ángel Molina

28 papers and 508 indexed citations i.

About

Ángel Molina is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Physiology. According to data from OpenAlex, Ángel Molina has authored 28 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Physiology. Recurrent topics in Ángel Molina’s work include Digital Imaging for Blood Diseases (12 papers), AI in cancer detection (7 papers) and Clinical Laboratory Practices and Quality Control (5 papers). Ángel Molina is often cited by papers focused on Digital Imaging for Blood Diseases (12 papers), AI in cancer detection (7 papers) and Clinical Laboratory Practices and Quality Control (5 papers). Ángel Molina collaborates with scholars based in Spain, Colombia and Argentina. Ángel Molina's co-authors include Anna Merino, José Rodellar, Andrea Acevedo, Santiago Alférez, Laura Boldú, J.M. Morales, José Antonio García‐Donaire, Amado Andrés, Joan Carles Reverter and José Luis Bedini and has published in prestigious journals such as Journal of Clinical Pathology, Clinica Chimica Acta and Transfusion.

In The Last Decade

Co-authorship network of co-authors of Ángel Molina i

Fields of papers citing papers by Ángel Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ángel Molina

Since Specialization
Citations

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