Raúl Ramos-Pollán
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine
- Neurology top 10%
- Co-authors
- Miguel GuevaraFabio A. GonzálezJohn ArévaloJosé Luís OliveiraReinel Tabares-SotoGustavo IsazaAna Beatriz AcevedoJuan C. Duque
- Topics
- AI in cancer detection (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Advanced Steganography and Watermarking Techniques (4 papers)
- Cited by
- Artificial IntelligenceRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessBuilding and Environment
In The Last Decade
Raúl Ramos-Pollán
22 papers receiving 722 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 453
- Radiology, Nuclear Medicine and Imaging 327
- Computer Vision and Pattern Recognition 256
- Pulmonary and Respiratory Medicine 68
- Neurology 67
Countries citing papers authored by Raúl Ramos-Pollán
This map shows the geographic impact of Raúl Ramos-Pollán'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 Raúl Ramos-Pollán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raúl Ramos-Pollán more than expected).
Fields of papers citing papers by Raúl Ramos-Pollán
This network shows the impact of papers produced by Raúl Ramos-Pollán. 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 Raúl Ramos-Pollán. The network helps show where Raúl Ramos-Pollán may publish in the future.
Co-authorship network of co-authors of Raúl Ramos-Pollán
This figure shows the co-authorship network connecting the top 25 collaborators of Raúl Ramos-Pollán. A scholar is included among the top collaborators of Raúl Ramos-Pollán 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 Raúl Ramos-Pollán. Raúl Ramos-Pollán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 60 | |
| 8 | 78 | |
| 9 | 12 | |
| 10 | 52 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | Representation learning for mammography mass lesion classification with convolutional neural networksbreakdown → | 317 |
| 14 | 5 | |
| 15 | Bioingenium at ImageCLEF 2012: Text and Visual Indexing for Medical Images. | 5 |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 66 | |
| 20 | 7 |
About Raúl Ramos-Pollán
Raúl Ramos-Pollán is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Health Information Management, having authored 24 papers that have together received 748 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced Steganography and Watermarking Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (453 citations), Radiology, Nuclear Medicine and Imaging (327 citations) and Computer Vision and Pattern Recognition (256 citations). Raúl Ramos-Pollán has collaborated with scholars based in Colombia, Portugal and Spain. Frequent co-authors include Miguel Guevara, Fabio A. González, John Arévalo, José Luís Oliveira, Reinel Tabares-Soto, Gustavo Isaza, Ana Beatriz Acevedo, Juan C. Duque, Alejandro Betancourt and Isabel Ramos. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Building and Environment.
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.