Miguel Guevara
- Radiology, Nuclear Medicine and Imaging top 2%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Molecular Biology
- Co-authors
- Raúl Ramos-PollánJosé Luís OliveiraFabio A. GonzálezJohn ArévaloDaniel C. MouraIsabel RamosMaría Corsi‐CabreraDibet Garcia Gonzalez
- Topics
- AI in cancer detection (12 papers)Advanced Neuroimaging Techniques and Applications (12 papers)Functional Brain Connectivity Studies (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageOptics Express
In The Last Decade
Miguel Guevara
62 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Radiology, Nuclear Medicine and Imaging 596
- Artificial Intelligence 586
- Computer Vision and Pattern Recognition 345
- Cognitive Neuroscience 237
- Molecular Biology 88
Countries citing papers authored by Miguel Guevara
This map shows the geographic impact of Miguel Guevara'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 Guevara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Guevara more than expected).
Fields of papers citing papers by Miguel Guevara
This network shows the impact of papers produced by Miguel Guevara. 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 Guevara. The network helps show where Miguel Guevara may publish in the future.
Co-authorship network of co-authors of Miguel Guevara
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Guevara. A scholar is included among the top collaborators of Miguel Guevara 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 Miguel Guevara. Miguel Guevara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 29 | |
| 8 | 53 | |
| 9 | 11 | |
| 10 | Representation learning for mammography mass lesion classification with convolutional neural networksbreakdown → | 317 |
| 11 | 63 | |
| 12 | Improving the breast cancer diagnosis using digital repositories | 1 |
| 13 | 14 | |
| 14 | 11 | |
| 15 | Análisis cuantitativo del electroencefalograma en sujetos en riesgo de heredar la enfermedad de Alzheimer familiar | 1 |
| 16 | 87 | |
| 17 | 0 | |
| 18 | DIAG, un sistema experto para el diagnóstico de anomalías craneofaciales | 0 |
| 19 | 33 | |
| 20 | Evaluación de los estados afectivos provocados por la música | 7 |
About Miguel Guevara
Miguel Guevara is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and Functional Brain Connectivity Studies (10 papers). The work is most often cited by research in Computational Mathematics (16 citations), Radiology, Nuclear Medicine and Imaging (596 citations) and Health Informatics (27 citations). Miguel Guevara has collaborated with scholars based in Portugal, Chile and France. Frequent co-authors include Raúl Ramos-Pollán, José Luís Oliveira, Fabio A. González, John Arévalo, Daniel C. Moura, Isabel Ramos, María Corsi‐Cabrera, Dibet Garcia Gonzalez, Noel Pérez and Augusto Silva. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Optics Express.
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.