Francisco Romero

15 papers and 189 indexed citations i.

About

Francisco Romero is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Francisco Romero has authored 15 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Francisco Romero’s work include Radiomics and Machine Learning in Medical Imaging (5 papers), Topic Modeling (2 papers) and AI in cancer detection (2 papers). Francisco Romero is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Topic Modeling (2 papers) and AI in cancer detection (2 papers). Francisco Romero collaborates with scholars based in United States, Canada and Brazil. Francisco Romero's co-authors include Samuel Kadoury, Christos Kozyrakis, M. G. F. Costa, Reza Forghani, Cícero Ferreira Fernandes Costa Filho, Farhad Maleki, James Gibson, Shrikanth Narayanan, Nikolaos Malandrakis and Neeraja J. Yadwadkar and has published in prestigious journals such as PLoS ONE, Scientific Reports and Proceedings of the VLDB Endowment.

In The Last Decade

Co-authorship network of co-authors of Francisco Romero i

Fields of papers citing papers by Francisco Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francisco Romero

Since Specialization
Citations

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