Rafael Molina
Impact in
- Media Technology top 0.1%
- Image Processing Techniques and Applications
- Advanced Image Fusion Techniques
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- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
Papers in
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- Image Processing Techniques and Applications 44
- Advanced Image Fusion Techniques 27
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- Advanced Image Processing Techniques 112
- Image and Signal Denoising Methods 103
- Advanced Vision and Imaging 28
- Medical Image Segmentation Techniques 20
- Co-authors
- Aggelos K. KatsaggelosS. Derin BabacanXavier FilellaJavier MateosMiguel VegaAntonio M. BallestaJosé Maria AugéJosep M. Augé
- Journals
- Tumor Biology (22 papers)IEEE Transactions on Image Processing (20 papers)Digital Signal Processing (11 papers)Clinical Chemistry (6 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (6 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Rafael Molina
323 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Media Technology 1.5k
- Computer Vision and Pattern Recognition 3.0k
- Oncology 1.7k
- Computational Mechanics 1.0k
- Signal Processing 512
Countries citing papers authored by Rafael Molina
This map shows the geographic impact of Rafael Molina'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 Rafael Molina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Molina more than expected).
Fields of papers citing papers by Rafael Molina
This network shows the impact of papers produced by Rafael Molina. 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 Rafael Molina. The network helps show where Rafael Molina may publish in the future.
Co-authors
The 25 scholars most cited alongside Rafael Molina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 44 | |
| 9 | Activation-level uncertainty in deep neural networks | 2021 | 2 |
| 10 | 2020 | 16 | |
| 11 | Bayesian classification and active learning using lp-priors. Application to image segmentation | 2014 | 1 |
| 12 | Image deblurring combining poisson singular integral and total variation prior models | 2013 | 3 |
| 13 | A general sparse image prior combination in Compressed Sensing | 2013 | 2 |
| 14 | Space-variant kernel deconvolution for dual exposure problem | 2011 | 2 |
| 15 | Image prior combination in space-variant blur deconvolution for the dual exposure problem | 2011 | 2 |
| 16 | 2010 | 61 | |
| 17 | Síntesis de materiales microcompuestos de polianilina/arcilla: caracterización y evaluación de su actividad como agentes anticorrosivos | 2008 | 1 |
| 18 | Using logarithmic opinion pooling techniques in Bayesian blind multi-channel restoration | 2008 | 0 |
| 19 | 2002 | 57 | |
| 20 | Prognostic value of TPS in patients with head and neck malignancies: comparison with SCC. | 1995 | 12 |
About Rafael Molina
Rafael Molina is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics and Biophysics, having authored 340 papers that have together received 8.7k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (112 papers), Image and Signal Denoising Methods (103 papers), Sparse and Compressive Sensing Techniques (45 papers), Image Processing Techniques and Applications (44 papers), AI in cancer detection (29 papers), Advanced Vision and Imaging (28 papers), Advanced Image Fusion Techniques (27 papers) and Medical Image Segmentation Techniques (20 papers). The work is most often cited by research in Media Technology (1.5k citations), Computer Vision and Pattern Recognition (3.0k citations), Oncology (1.7k citations), Computational Mechanics (1.0k citations) and Signal Processing (512 citations). Rafael Molina has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Aggelos K. Katsaggelos, S. Derin Babacan, Xavier Filella, Javier Mateos, Miguel Vega, Antonio M. Ballesta, José Maria Augé, Josep M. Augé, José Miguel Escudero Fernández and Alice Lucas. Their work appears in journals such as Tumor Biology, IEEE Transactions on Image Processing, Digital Signal Processing, Clinical Chemistry and Clinical Chemistry and Laboratory Medicine (CCLM).
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.