Fabio Martínez
Impact in
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- Medical Image Segmentation Techniques
- Human Pose and Action Recognition
Papers in
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- Medical Image Segmentation Techniques 10
- Advanced Neural Network Applications 8
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- Radiomics and Machine Learning in Medical Imaging 15
- Co-authors
- Eduardo Romero (17 shared papers)Antoine Manzanera (9 shared papers)John Arévalo (5 shared papers)J.J. Coronado (1 shared paper)Oscar Acosta (1 shared paper)Pascal Haigron (1 shared paper)Antoine Simon (1 shared paper)R. de Crevoisier (1 shared paper)
In The Last Decade
Fabio Martínez
75 papers receiving 322 citations
Peers
Comparison fields: 5 of 79
- Physical Therapy, Sports Therapy and Rehabilitation 17
- Computer Vision and Pattern Recognition 80
- Human-Computer Interaction 17
- Neurology 38
- Radiology, Nuclear Medicine and Imaging 55
Countries citing papers authored by Fabio Martínez
This map shows the geographic impact of Fabio Martínez'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 Fabio Martínez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Martínez more than expected).
Fields of papers citing papers by Fabio Martínez
This network shows the impact of papers produced by Fabio Martínez. 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 Fabio Martínez. The network helps show where Fabio Martínez may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Martínez, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 31 | |
| 2 | 2019 | 26 | |
| 3 | 2021 | 18 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 12 | |
| 6 | 2022 | 12 | |
| 7 | 2024 | 10 | |
| 8 | 2015 | 9 | |
| 9 | 2013 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2015 | 8 | |
| 12 | 2010 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2010 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2010 | 6 | |
| 18 | 2010 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2020 | 5 |
About Fabio Martínez
Fabio Martínez is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine and Neurology, having authored 85 papers that have together received 340 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), Parkinson's Disease Mechanisms and Treatments (12 papers), Medical Image Segmentation Techniques (10 papers), Colorectal Cancer Screening and Detection (9 papers), Advanced Neural Network Applications (8 papers), Neurological disorders and treatments (8 papers), Balance, Gait, and Falls Prevention (8 papers) and Gait Recognition and Analysis (8 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (17 citations), Computer Vision and Pattern Recognition (80 citations), Human-Computer Interaction (17 citations), Neurology (38 citations) and Radiology, Nuclear Medicine and Imaging (55 citations). Fabio Martínez has collaborated with scholars based in Colombia, France and Brazil. Frequent co-authors include Eduardo Romero, Antoine Manzanera, John Arévalo, J.J. Coronado, Oscar Acosta, Pascal Haigron, Antoine Simon, R. de Crevoisier, Daniel Mantilla and Francisco Javier Gómez. Their work appears in journals such as Physics in Medicine and Biology, Biomedical Signal Processing and Control, Multimedia Tools and Applications, Pattern Analysis and Applications and Scientific Reports.
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.