Oscar Jiménez–del–Toro
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Pulmonary and Respiratory Medicine
- Co-authors
- Henning MüllerSebastian OtáloraManfredo AtzoriMarkus M. ObmannRoger SchaerMichael BachEnder KonukoğluChristoph Aberle
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)Advanced X-ray and CT Imaging (5 papers)AI in cancer detection (4 papers)
- Partner nations
- SwitzerlandUnited KingdomSpain
In The Last Decade
Oscar Jiménez–del–Toro
14 papers receiving 110 citations
Peers
Comparison fields: 5 of 39
- Radiology, Nuclear Medicine and Imaging 68
- Artificial Intelligence 57
- Biomedical Engineering 37
- Computer Vision and Pattern Recognition 20
- Pulmonary and Respiratory Medicine 18
Countries citing papers authored by Oscar Jiménez–del–Toro
This map shows the geographic impact of Oscar Jiménez–del–Toro'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 Oscar Jiménez–del–Toro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oscar Jiménez–del–Toro more than expected).
Fields of papers citing papers by Oscar Jiménez–del–Toro
This network shows the impact of papers produced by Oscar Jiménez–del–Toro. 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 Oscar Jiménez–del–Toro. The network helps show where Oscar Jiménez–del–Toro may publish in the future.
Co-authorship network of co-authors of Oscar Jiménez–del–Toro
This figure shows the co-authorship network connecting the top 25 collaborators of Oscar Jiménez–del–Toro. A scholar is included among the top collaborators of Oscar Jiménez–del–Toro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Oscar Jiménez–del–Toro. Oscar Jiménez–del–Toro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 13 | |
| 9 | 19 | |
| 10 | 8 | |
| 11 | 13 | |
| 12 | 22 | |
| 13 | 5 | |
| 14 | 4 |
About Oscar Jiménez–del–Toro
Oscar Jiménez–del–Toro is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 14 papers that have together received 111 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced X-ray and CT Imaging (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Health Informatics (6 citations), Radiology, Nuclear Medicine and Imaging (68 citations) and Biophysics (12 citations). Oscar Jiménez–del–Toro has collaborated with scholars based in Switzerland, United Kingdom and Spain. Frequent co-authors include Henning Müller, Sebastian Otálora, Manfredo Atzori, Markus M. Obmann, Roger Schaer, Michael Bach, Ender Konukoğlu, Christoph Aberle, Bram Stieltjes and Adrien Depeursinge. Their work appears in journals such as Scientific Reports, Medical Physics and Computer Methods and Programs in Biomedicine.
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.