Pablo Borrelli
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiopharmaceutical Chemistry and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 14
- Medical Imaging Techniques and Applications 8
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- Artificial Intelligence in Healthcare and Education 3
- Co-authors
- Lars Edenbrandt (14 shared papers)Johannes Ulén (13 shared papers)Elin Trägårdh (13 shared papers)Olof Enqvist (14 shared papers)Reza Kaboteh (8 shared papers)Henrik Kjölhede (5 shared papers)Poul Flemming Høilund‐Carlsen (5 shared papers)Mads Hvid Poulsen (5 shared papers)
In The Last Decade
Pablo Borrelli
18 papers receiving 363 citations
Peers
Comparison fields: 5 of 33
- Health Informatics 57
- Radiology, Nuclear Medicine and Imaging 225
- Computer Vision and Pattern Recognition 71
- Pulmonary and Respiratory Medicine 57
- Artificial Intelligence 60
Countries citing papers authored by Pablo Borrelli
This map shows the geographic impact of Pablo Borrelli'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 Pablo Borrelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Borrelli more than expected).
Fields of papers citing papers by Pablo Borrelli
This network shows the impact of papers produced by Pablo Borrelli. 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 Pablo Borrelli. The network helps show where Pablo Borrelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo Borrelli, 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 | 2020 | 73 | |
| 2 | 2021 | 50 | |
| 3 | 2021 | 42 | |
| 4 | 2019 | 34 | |
| 5 | 2019 | 29 | |
| 6 | 2021 | 29 | |
| 7 | 2022 | 26 | |
| 8 | 2020 | 25 | |
| 9 | 2016 | 19 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2022 | 3 | |
| 15 | AI tool decreases inter-observer variability in the analysis of PSMA-PET/CT | 2021 | 2 |
| 16 | 2015 | 1 | |
| 17 | Artificial Intelligence Based Method for Automated PET/CT Measurements of Prostate Gland Volume and Choline Uptake | 2018 | 1 |
| 18 | 2024 | 1 |
About Pablo Borrelli
Pablo Borrelli is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 18 papers that have together received 369 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Medical Imaging Techniques and Applications (8 papers), Medical Image Segmentation Techniques (5 papers), AI in cancer detection (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Nutrition and Health in Aging (2 papers). The work is most often cited by research in Health Informatics (57 citations), Radiology, Nuclear Medicine and Imaging (225 citations), Computer Vision and Pattern Recognition (71 citations), Pulmonary and Respiratory Medicine (57 citations) and Artificial Intelligence (60 citations). Pablo Borrelli has collaborated with scholars based in Sweden, Denmark and Spain. Frequent co-authors include Lars Edenbrandt, Johannes Ulén, Elin Trägårdh, Olof Enqvist, Reza Kaboteh, Henrik Kjölhede, Poul Flemming Høilund‐Carlsen, Mads Hvid Poulsen, Aseem Anand and Neil Rohit Parikh. Their work appears in journals such as Clinical Physiology and Functional Imaging, EJNMMI Physics, European Radiology Experimental, Journal of Nuclear Medicine and European Journal of Nuclear Medicine and Molecular Imaging.
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.