Daniel Santos
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
- COVID-19 diagnosis using AI
- MRI in cancer diagnosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 3
- Radiology practices and education 2
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- Artificial Intelligence in Healthcare and Education 3
- Co-authors
- Renato Cuocolo (3 shared papers)Lorenzo Ugga (1 shared paper)Burak Koçak (2 shared papers)Arnaldo Stanzione (1 shared paper)Martin Hadamitzky (1 shared paper)Felix Busch (1 shared paper)Keno K. Bressem (1 shared paper)Jakob Nikolas Kather (1 shared paper)
- Journals
- European Radiology (2 papers)European Journal of Radiology (1 paper)Balkan Medical Journal (1 paper)QRU Quaderns de Recerca en Urbanisme (1 paper)
In The Last Decade
Daniel Santos
3 papers receiving 64 citations
Peers
Comparison fields: 5 of 40
- Health Informatics 36
- Radiology, Nuclear Medicine and Imaging 30
- Family Practice 2
- Health Information Management 4
- Medical Laboratory Technology 1
Countries citing papers authored by Daniel Santos
This map shows the geographic impact of Daniel Santos'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 Daniel Santos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Santos more than expected).
Fields of papers citing papers by Daniel Santos
This network shows the impact of papers produced by Daniel Santos. 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 Daniel Santos. The network helps show where Daniel Santos may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Santos, 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 | 2022 | 35 | |
| 2 | 2024 | 26 | |
| 3 | 2025 | 4 | |
| 4 | 2025 | 0 | |
| 5 | 2022 | 0 | |
| 6 | 2021 | 0 |
About Daniel Santos
Daniel Santos is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Artificial Intelligence, Pulmonary and Respiratory Medicine and Electrical and Electronic Engineering, having authored 6 papers that have together received 65 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Radiology practices and education (2 papers), Imbalanced Data Classification Techniques (1 paper), solar cell performance optimization (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Health Informatics (36 citations), Radiology, Nuclear Medicine and Imaging (30 citations), Family Practice (2 citations), Health Information Management (4 citations) and Medical Laboratory Technology (1 citation). Daniel Santos has collaborated with scholars based in Germany, Italy and Spain. Frequent co-authors include Renato Cuocolo, Lorenzo Ugga, Burak Koçak, Arnaldo Stanzione, Martin Hadamitzky, Felix Busch, Keno K. Bressem, Jakob Nikolas Kather, Lisa C. Adams and Lena Hoffmann. Their work appears in journals such as European Radiology, European Journal of Radiology, Balkan Medical Journal and QRU Quaderns de Recerca en Urbanisme.
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.