Fernando Navarro
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
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- Radiomics and Machine Learning in Medical Imaging
- Radiopharmaceutical Chemistry and Applications
- Medical Imaging Techniques and Applications
Papers in
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- Sarcoma Diagnosis and Treatment 2
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- Radiomics and Machine Learning in Medical Imaging 3
- Medical Imaging Techniques and Applications 2
- COVID-19 diagnosis using AI 2
- Co-authors
- Dennis P. Orgill (5 shared papers)Bjoern Menze (11 shared papers)Fiona M. Wood (2 shared papers)Marie L. Stoner (2 shared papers)Giles Tetteh (2 shared papers)Andrei Gafita (1 shared paper)Wolfgang Weber (1 shared paper)Matthias Eiber (1 shared paper)
- Journals
- Nature Communications (1 paper)Frontiers in Neurology (1 paper)Annals of Plastic Surgery (1 paper)Gastrointestinal Endoscopy (1 paper)Learned Publishing (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Fernando Navarro
27 papers receiving 528 citations
Peers
Comparison fields: 5 of 92
- Rehabilitation 118
- Radiology, Nuclear Medicine and Imaging 135
- Health Informatics 7
- Urology 25
- Dermatology 35
Countries citing papers authored by Fernando Navarro
This map shows the geographic impact of Fernando Navarro'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 Fernando Navarro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Navarro more than expected).
Fields of papers citing papers by Fernando Navarro
This network shows the impact of papers produced by Fernando Navarro. 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 Fernando Navarro. The network helps show where Fernando Navarro may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Navarro, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 106 | |
| 2 | 2019 | 94 | |
| 3 | 2020 | 73 | |
| 4 | 2001 | 46 | |
| 5 | 2021 | 43 | |
| 6 | 2001 | 35 | |
| 7 | 2021 | 26 | |
| 8 | 2006 | 14 | |
| 9 | 2004 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2008 | 13 | |
| 12 | 2015 | 10 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2002 | 6 | |
| 17 | 2018 | 4 | |
| 18 | [Grammatical problems in medicine]. | 1998 | 4 |
| 19 | 2017 | 3 | |
| 20 | 2022 | 3 |
About Fernando Navarro
Fernando Navarro is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Epidemiology and Surgery, having authored 34 papers that have together received 544 indexed citations. Recurring topics across this work include Wound Healing and Treatments (3 papers), Advanced Neural Network Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Medical and Biological Sciences (2 papers), Medical Imaging Techniques and Applications (2 papers), COVID-19 diagnosis using AI (2 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Rehabilitation (118 citations), Radiology, Nuclear Medicine and Imaging (135 citations), Health Informatics (7 citations), Urology (25 citations) and Dermatology (35 citations). Fernando Navarro has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Dennis P. Orgill, Bjoern Menze, Fiona M. Wood, Marie L. Stoner, Giles Tetteh, Andrei Gafita, Wolfgang Weber, Matthias Eiber, Hui Wang and Hongwei Li. Their work appears in journals such as Nature Communications, Frontiers in Neurology, Annals of Plastic Surgery, Gastrointestinal Endoscopy and Learned Publishing.
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.