Manuel Escobar
Impact in
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- Radiomics and Machine Learning in Medical Imaging
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- Computational Drug Discovery Methods
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Francisco Prado-Prado (6 shared papers)Humberto González‐Díaz (5 shared papers)Xerardo García‐Mera (5 shared papers)Matilde Yáñez (3 shared papers)Richard Mast (4 shared papers)Kinga Bernatowicz (4 shared papers)Raquel Pérez-López (4 shared papers)Marta Ligero (3 shared papers)
In The Last Decade
Manuel Escobar
30 papers receiving 489 citations
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 153
- Computational Theory and Mathematics 101
- Health Informatics 8
- Microbiology 3
- Pulmonary and Respiratory Medicine 88
Countries citing papers authored by Manuel Escobar
This map shows the geographic impact of Manuel Escobar'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 Manuel Escobar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Escobar more than expected).
Fields of papers citing papers by Manuel Escobar
This network shows the impact of papers produced by Manuel Escobar. 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 Manuel Escobar. The network helps show where Manuel Escobar may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuel Escobar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 113 | |
| 2 | 2019 | 51 | |
| 3 | 2011 | 40 | |
| 4 | 2011 | 36 | |
| 5 | 2015 | 29 | |
| 6 | 2012 | 28 | |
| 7 | 2012 | 23 | |
| 8 | 2022 | 22 | |
| 9 | 1997 | 21 | |
| 10 | 2024 | 15 | |
| 11 | 2021 | 12 | |
| 12 | 1999 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2012 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2025 | 9 | |
| 19 | 2013 | 6 | |
| 20 | 2024 | 5 |
About Manuel Escobar
Manuel Escobar is a scholar working on Radiology, Nuclear Medicine and Imaging, Organic Chemistry, Cardiology and Cardiovascular Medicine, Epidemiology and Computational Theory and Mathematics, having authored 30 papers that have together received 496 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Computational Drug Discovery Methods (5 papers), Cardiac Valve Diseases and Treatments (4 papers), Infective Endocarditis Diagnosis and Management (3 papers), Advanced X-ray and CT Imaging (3 papers), Orthopedic Infections and Treatments (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Reservoir Engineering and Simulation Methods (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (153 citations), Computational Theory and Mathematics (101 citations), Health Informatics (8 citations), Microbiology (3 citations) and Pulmonary and Respiratory Medicine (88 citations). Manuel Escobar has collaborated with scholars based in Spain, Chile and Germany. Frequent co-authors include Francisco Prado-Prado, Humberto González‐Díaz, Xerardo García‐Mera, Matilde Yáñez, Richard Mast, Kinga Bernatowicz, Raquel Pérez-López, Marta Ligero, Arturo Navarro-Martín and Aliuska Duardo-Sánchez. Their work appears in journals such as Current Topics in Medicinal Chemistry, European Heart Journal - Cardiovascular Imaging, Cancers, Medical Image Analysis and Radiology Artificial Intelligence.
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.