Robert Martí
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
Papers in
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- AI in cancer detection 78
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- Medical Image Segmentation Techniques 48
- Image Retrieval and Classification Techniques 20
- Co-authors
- Reyer Zwiggelaar (28 shared papers)Moi Hoon Yap (7 shared papers)Jordi Freixenet (36 shared papers)Xavier Lladó (41 shared papers)Arnau Oliver (54 shared papers)Joan C. Vilanova (32 shared papers)Sergi Ganau (11 shared papers)Melcior Sentís (11 shared papers)
- Journals
- Computers in Biology and Medicine (4 papers)Sensors (4 papers)Medical Image Analysis (4 papers)Medical Physics (3 papers)IEEE Journal of Biomedical and Health Informatics (3 papers)
- Partner nations
- SpainUnited KingdomFrance
In The Last Decade
Robert Martí
126 papers receiving 4.0k citations
Robert Martí's Hit Papers
Peers
Comparison fields: 5 of 137
- Radiology, Nuclear Medicine and Imaging 1.8k
- Computer Vision and Pattern Recognition 1.7k
- Artificial Intelligence 2.4k
- Neurology 317
- Health Informatics 54
Countries citing papers authored by Robert Martí
This map shows the geographic impact of Robert Martí'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 Robert Martí with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Martí more than expected).
Fields of papers citing papers by Robert Martí
This network shows the impact of papers produced by Robert Martí. 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 Robert Martí. The network helps show where Robert Martí may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Martí, 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks Hit paper breakdown → | 2017 | 756 |
| 2 | 2015 | 270 | |
| 3 | 2008 | 201 | |
| 4 | 2006 | 198 | |
| 5 | 2012 | 160 | |
| 6 | 2020 | 146 | |
| 7 | 2014 | 144 | |
| 8 | 2019 | 138 | |
| 9 | 2022 | 112 | |
| 10 | 2020 | 110 | |
| 11 | 2020 | 105 | |
| 12 | 2014 | 105 | |
| 13 | 2014 | 105 | |
| 14 | 2018 | 93 | |
| 15 | 2009 | 87 | |
| 16 | 2020 | 75 | |
| 17 | 2011 | 70 | |
| 18 | 2018 | 61 | |
| 19 | 2021 | 58 | |
| 20 | 2013 | 48 |
About Robert Martí
Robert Martí is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 135 papers that have together received 4.2k indexed citations. Recurring topics across this work include AI in cancer detection (78 papers), Medical Image Segmentation Techniques (48 papers), Radiomics and Machine Learning in Medical Imaging (25 papers), Digital Radiography and Breast Imaging (24 papers), Image Retrieval and Classification Techniques (20 papers), Medical Imaging Techniques and Applications (15 papers), MRI in cancer diagnosis (10 papers) and Medical Imaging and Analysis (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.8k citations), Computer Vision and Pattern Recognition (1.7k citations), Artificial Intelligence (2.4k citations), Neurology (317 citations) and Health Informatics (54 citations). Robert Martí has collaborated with scholars based in Spain, United Kingdom and France. Frequent co-authors include Reyer Zwiggelaar, Moi Hoon Yap, Jordi Freixenet, Xavier Lladó, Arnau Oliver, Joan C. Vilanova, Sergi Ganau, Melcior Sentís, Gérard Pons and Adrian K. Davison. Their work appears in journals such as Computers in Biology and Medicine, Sensors, Medical Image Analysis, Medical Physics and IEEE Journal of Biomedical and Health Informatics.
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.