Miguel Luengo-Oroz

53 papers and 1.2k indexed citations i.

About

Miguel Luengo-Oroz is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Miguel Luengo-Oroz has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Biophysics and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Miguel Luengo-Oroz’s work include Cell Image Analysis Techniques (11 papers), Digital Imaging for Blood Diseases (10 papers) and COVID-19 diagnosis using AI (9 papers). Miguel Luengo-Oroz is often cited by papers focused on Cell Image Analysis Techniques (11 papers), Digital Imaging for Blood Diseases (10 papers) and COVID-19 diagnosis using AI (9 papers). Miguel Luengo-Oroz collaborates with scholars based in Spain, United States and France. Miguel Luengo-Oroz's co-authors include Katherine Hoffmann Pham, Joseph Aylett-Bullock, Alexandra Sasha Luccioni, Cynthia Sin Nga Lam, A. Santos, Nadine Peyriéras, Emmanuel Faure, Louise Duloquin, Paul Bourgine and Thierry Savy and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Miguel Luengo-Oroz i

Fields of papers citing papers by Miguel Luengo-Oroz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Luengo-Oroz. 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 Miguel Luengo-Oroz. The network helps show where Miguel Luengo-Oroz may publish in the future.

Countries citing papers authored by Miguel Luengo-Oroz

Since Specialization
Citations

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