Eduardo Romero

127 papers and 1.6k indexed citations i.

About

Eduardo Romero is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Eduardo Romero has authored 127 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 41 papers in Artificial Intelligence and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Eduardo Romero’s work include AI in cancer detection (36 papers), Image Retrieval and Classification Techniques (24 papers) and Medical Image Segmentation Techniques (16 papers). Eduardo Romero is often cited by papers focused on AI in cancer detection (36 papers), Image Retrieval and Classification Techniques (24 papers) and Medical Image Segmentation Techniques (16 papers). Eduardo Romero collaborates with scholars based in Colombia, United States and France. Eduardo Romero's co-authors include Fabio A. González, Gloria M. Díaz, Andrea Rueda, Anant Madabhushi, Norberto Malpica, G. Gordillo, David Romo‐Bucheli, Francisco Gómez, Hannah Gilmore and Andrew Janowczyk and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Carbon.

In The Last Decade

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

Fields of papers citing papers by Eduardo Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eduardo Romero

Since Specialization
Citations

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