Eduardo Romero
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Oncology top 10%
- Molecular Biology
- Co-authors
- Fabio A. GonzálezGloria M. DíazAndrea RuedaAnant MadabhushiNorberto MalpicaG. GordilloFabián NarváezFrancisco Gómez
- Topics
- AI in cancer detection (47 papers)Image Retrieval and Classification Techniques (30 papers)Medical Image Segmentation Techniques (22 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- ColombiaUnited StatesSpain
In The Last Decade
Eduardo Romero
155 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 642
- Computer Vision and Pattern Recognition 613
- Radiology, Nuclear Medicine and Imaging 526
- Oncology 236
- Molecular Biology 188
Countries citing papers authored by Eduardo Romero
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).
Fields of papers citing papers by Eduardo Romero
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.
Co-authorship network of co-authors of Eduardo Romero
This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Romero. A scholar is included among the top collaborators of Eduardo Romero based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eduardo Romero. Eduardo Romero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 162 | |
| 10 | 46 | |
| 11 | 66 | |
| 12 | MODELO PARA TELEMEDICINA, EDUCACIÓN VIRTUAL Y ADMINISTRACIÓN DE IMÁGENES DE LA UNIVERSIDAD NACIONAL DE COLOMBIA | 1 |
| 13 | 31 | |
| 14 | DESARROLLO DE UN LABORATORIO DE MARCHA CON INTEGRACIÓN SINCRÓNICA MEDIANTE UNA ARQUITECTURA EN MÓDULOS | 3 |
| 15 | ANÁLISIS DE VÍDEO PARA ESTIMACIÓN DEL MOVIMIENTO HUMANO: UNA REVISIÓN | 4 |
| 16 | VIDEO ANALYSIS FOR ESTIMATION OF THE HUMAN MOVEMENT: A REVISION | 1 |
| 17 | ANÁLISE DO VÍDEO PARA O ESTIMATION DO MOVIMENTO HUMANO: UMA REVISÃO | 1 |
| 18 | 146 | |
| 19 | 21 | |
| 20 | Effect of synthesis parameters on the optical and structural properties of CuGaSe2 thin films | 1 |
About Eduardo Romero
Eduardo Romero is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence, having authored 172 papers that have together received 1.9k indexed citations. Recurring topics across this work include AI in cancer detection (47 papers), Image Retrieval and Classification Techniques (30 papers) and Medical Image Segmentation Techniques (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (613 citations), Biophysics (170 citations) and Health Informatics (31 citations). Eduardo Romero has collaborated with scholars based in Colombia, United States and Spain. Frequent co-authors include Fabio A. González, Gloria M. Díaz, Andrea Rueda, Anant Madabhushi, Norberto Malpica, G. Gordillo, Fabián Narváez, Francisco Gómez, David Romo‐Bucheli and Hannah Gilmore. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.
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.