Rafael Molina

294 papers and 7.9k indexed citations i.

About

Rafael Molina is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Rafael Molina has authored 294 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Computer Vision and Pattern Recognition, 54 papers in Media Technology and 52 papers in Artificial Intelligence. Recurrent topics in Rafael Molina’s work include Advanced Image Processing Techniques (87 papers), Image and Signal Denoising Methods (85 papers) and Sparse and Compressive Sensing Techniques (44 papers). Rafael Molina is often cited by papers focused on Advanced Image Processing Techniques (87 papers), Image and Signal Denoising Methods (85 papers) and Sparse and Compressive Sensing Techniques (44 papers). Rafael Molina collaborates with scholars based in Spain, United States and United Kingdom. Rafael Molina's co-authors include Aggelos K. Katsaggelos, S. Derin Babacan, Xavier Filella, Javier Mateos, Antonio M. Ballesta, Miguel Vega, Alice Lucas, José Maria Augé, Josep M. Augé and José M. Escudero and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Rafael Molina i

Fields of papers citing papers by Rafael Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Rafael Molina

Since Specialization
Citations

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).

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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