David Molina

16 papers and 296 indexed citations i.

About

David Molina is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, David Molina has authored 16 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in David Molina’s work include Radiomics and Machine Learning in Medical Imaging (7 papers), Multi-Criteria Decision Making (4 papers) and Glioma Diagnosis and Treatment (4 papers). David Molina is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Multi-Criteria Decision Making (4 papers) and Glioma Diagnosis and Treatment (4 papers). David Molina collaborates with scholars based in Spain, Cuba and Italy. David Molina's co-authors include José A. Gámez, Juan A. Aledo, Alicia Martı́nez-González, Julián Pérez-Beteta, Vı́ctor M. Pérez-Garcı́a, Carlos Velásquez, Juan Martino, Estanislao Arana, Beatriz Asenjo and Luís A. Pérez-Romasanta and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Applied Soft Computing.

In The Last Decade

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

Fields of papers citing papers by David Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David 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 David Molina. The network helps show where David Molina may publish in the future.

Countries citing papers authored by David Molina

Since Specialization
Citations

This map shows the geographic impact of David 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 David Molina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David 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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