Benjamín Gutiérrez-Becker
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
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- Brain Tumor Detection and Classification
Papers in
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- Medical Image Segmentation Techniques 5
- Advanced Neural Network Applications 2
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- AI in cancer detection 3
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Nassir Navab (4 shared papers)Diana Mateus (3 shared papers)Martin Simonovsky (1 shared paper)Nikos Komodakis (1 shared paper)Christian Wachinger (5 shared papers)Loïc Peter (2 shared papers)Ignacio Sarasúa (3 shared papers)Jesús Andrés Benavides-Serralde (1 shared paper)
- Journals
- Medical Image Analysis (2 papers)Frontiers in Neuroscience (1 paper)Computerized Medical Imaging and Graphics (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)Lecture notes in computer science (6 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Benjamín Gutiérrez-Becker
12 papers receiving 320 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 138
- Neurology 40
- Radiology, Nuclear Medicine and Imaging 100
- Health Informatics 6
- Aging 3
Countries citing papers authored by Benjamín Gutiérrez-Becker
This map shows the geographic impact of Benjamín Gutiérrez-Becker'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 Benjamín Gutiérrez-Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamín Gutiérrez-Becker more than expected).
Fields of papers citing papers by Benjamín Gutiérrez-Becker
This network shows the impact of papers produced by Benjamín Gutiérrez-Becker. 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 Benjamín Gutiérrez-Becker. The network helps show where Benjamín Gutiérrez-Becker may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamín Gutiérrez-Becker, 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 | 2016 | 143 | |
| 2 | 2019 | 67 | |
| 3 | 2017 | 31 | |
| 4 | 2013 | 23 | |
| 5 | 2016 | 18 | |
| 6 | 2017 | 15 | |
| 7 | 2020 | 13 | |
| 8 | 2024 | 6 | |
| 9 | 2019 | 5 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2018 | 1 |
About Benjamín Gutiérrez-Becker
Benjamín Gutiérrez-Becker is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Biomedical Engineering and Pediatrics, Perinatology and Child Health, having authored 12 papers that have together received 329 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Medical Imaging and Analysis (3 papers), AI in cancer detection (3 papers), 3D Shape Modeling and Analysis (3 papers), Morphological variations and asymmetry (2 papers), Neonatal and fetal brain pathology (2 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (138 citations), Neurology (40 citations), Radiology, Nuclear Medicine and Imaging (100 citations), Health Informatics (6 citations) and Aging (3 citations). Benjamín Gutiérrez-Becker has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Nassir Navab, Diana Mateus, Martin Simonovsky, Nikos Komodakis, Christian Wachinger, Loïc Peter, Ignacio Sarasúa, Jesús Andrés Benavides-Serralde, Karla Rubio and Eduardo Martínez‐Martínez. Their work appears in journals such as Medical Image Analysis, Frontiers in Neuroscience, Computerized Medical Imaging and Graphics, International Journal of Computer Assisted Radiology and Surgery and Lecture notes in computer science.
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.