Ester Bonmati
Impact in
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
Papers in
-
- Medical Image Segmentation Techniques 8
- Advanced Neural Network Applications 8
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- Prostate Cancer Diagnosis and Treatment 4
- Lung Cancer Diagnosis and Treatment 2
- Co-authors
- Yipeng Hu (21 shared papers)Dean C. Barratt (18 shared papers)Eli Gibson (9 shared papers)Matthew J. Clarkson (14 shared papers)Brian R Davidson (10 shared papers)Stephen P. Pereira (11 shared papers)Kurinchi Selvan Gurusamy (6 shared papers)Steve Bandula (2 shared papers)
- Journals
- Medical Image Analysis (4 papers)International Journal of Computer Assisted Radiology and Surgery (3 papers)IEEE Transactions on Medical Imaging (2 papers)Medical Physics (2 papers)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Ester Bonmati
28 papers receiving 1.2k citations
Ester Bonmati's Hit Papers
Peers
Comparison fields: 5 of 91
- Health Informatics 38
- Radiology, Nuclear Medicine and Imaging 551
- Computer Vision and Pattern Recognition 537
- Neurology 77
- Radiation 68
Countries citing papers authored by Ester Bonmati
This map shows the geographic impact of Ester Bonmati'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 Ester Bonmati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ester Bonmati more than expected).
Fields of papers citing papers by Ester Bonmati
This network shows the impact of papers produced by Ester Bonmati. 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 Ester Bonmati. The network helps show where Ester Bonmati may publish in the future.
Co-authors
The 25 scholars most cited alongside Ester Bonmati, 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 | Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks Hit paper breakdown → | 2018 | 521 |
| 2 | 2018 | 307 | |
| 3 | 2019 | 57 | |
| 4 | 2017 | 42 | |
| 5 | 2020 | 39 | |
| 6 | 2020 | 26 | |
| 7 | 2018 | 26 | |
| 8 | 2018 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2018 | 21 | |
| 11 | 2021 | 16 | |
| 12 | 2018 | 13 | |
| 13 | 2021 | 10 | |
| 14 | 2018 | 7 | |
| 15 | 2017 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2017 | 5 |
About Ester Bonmati
Ester Bonmati is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Advanced Neural Network Applications (8 papers), Colorectal Cancer Screening and Detection (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Functional Brain Connectivity Studies (3 papers), Lung Cancer Diagnosis and Treatment (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (38 citations), Radiology, Nuclear Medicine and Imaging (551 citations), Computer Vision and Pattern Recognition (537 citations), Neurology (77 citations) and Radiation (68 citations). Ester Bonmati has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Yipeng Hu, Dean C. Barratt, Eli Gibson, Matthew J. Clarkson, Brian R Davidson, Stephen P. Pereira, Kurinchi Selvan Gurusamy, Steve Bandula, Francesco Giganti and Caroline M. Moore. Their work appears in journals such as Medical Image Analysis, International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Medical Imaging, 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.