Benjamín Gutiérrez-Becker

467 total citations
6 papers, 144 citations indexed

About

Benjamín Gutiérrez-Becker is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Benjamín Gutiérrez-Becker has authored 6 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Benjamín Gutiérrez-Becker's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Imaging and Analysis (2 papers) and Medical Image Segmentation Techniques (2 papers). Benjamín Gutiérrez-Becker is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Imaging and Analysis (2 papers) and Medical Image Segmentation Techniques (2 papers). Benjamín Gutiérrez-Becker collaborates with scholars based in Germany, United States and Switzerland. Benjamín Gutiérrez-Becker's co-authors include Nassir Navab, Diana Mateus, Fernando Arámbula Cosı́o, Jesús Andrés Benavides-Serralde, Ignacio Sarasúa, Loïc Peter, Verónica Medina-Bañuelos, Christian Wachinger, Marco Riva and Federico Pessina and has published in prestigious journals such as Frontiers in Neuroscience, Medical Image Analysis and Medical & Biological Engineering & Computing.

In The Last Decade

Benjamín Gutiérrez-Becker

6 papers receiving 141 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benjamín Gutiérrez-Becker Germany 6 37 28 27 22 21 6 144
Amer Alaref Canada 10 122 3.3× 16 0.6× 37 1.4× 44 2.0× 15 0.7× 25 259
Yaël Balbastre United States 7 64 1.7× 36 1.3× 13 0.5× 13 0.6× 15 0.7× 17 160
Luigi Antelmi Italy 5 48 1.3× 45 1.6× 17 0.6× 13 0.6× 39 1.9× 10 145
Seonghun Yoon United States 7 28 0.8× 7 0.3× 35 1.3× 22 1.0× 12 0.6× 15 178
Zhijian Yang United States 6 30 0.8× 18 0.6× 30 1.1× 27 1.2× 12 0.6× 9 156
Alexandre Bône France 7 54 1.5× 21 0.8× 9 0.3× 45 2.0× 23 1.1× 17 196
Sarah Keefe United States 6 45 1.2× 20 0.7× 24 0.9× 19 0.9× 27 1.3× 24 171
Bei Tian China 8 89 2.4× 22 0.8× 57 2.1× 10 0.5× 15 0.7× 32 221
J Lecoeur France 7 48 1.3× 82 2.9× 22 0.8× 21 1.0× 22 1.0× 17 183
Michael Rebsamen Switzerland 8 55 1.5× 19 0.7× 18 0.7× 5 0.2× 36 1.7× 16 152

Countries citing papers authored by Benjamín Gutiérrez-Becker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Benjamín Gutiérrez-Becker

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamín Gutiérrez-Becker. A scholar is included among the top collaborators of Benjamín Gutiérrez-Becker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benjamín Gutiérrez-Becker. Benjamín Gutiérrez-Becker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Gutiérrez-Becker, Benjamín, et al.. (2024). Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies. Computerized Medical Imaging and Graphics. 116. 102401–102401. 6 indexed citations
2.
Gutiérrez-Becker, Benjamín, Ignacio Sarasúa, & Christian Wachinger. (2020). Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks. Medical Image Analysis. 67. 101852–101852. 11 indexed citations
3.
Castillo, Ximena, Susana Castro‐Obregón, Benjamín Gutiérrez-Becker, et al.. (2019). Re-thinking the Etiological Framework of Neurodegeneration. Frontiers in Neuroscience. 13. 728–728. 60 indexed citations
4.
Riva, Marco, Christoph Hennersperger, Fausto Milletarì, et al.. (2017). 3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation. International Journal of Computer Assisted Radiology and Surgery. 12(10). 1711–1725. 28 indexed citations
5.
Gutiérrez-Becker, Benjamín, Diana Mateus, Loïc Peter, & Nassir Navab. (2017). Guiding multimodal registration with learned optimization updates. Medical Image Analysis. 41. 2–17. 15 indexed citations
6.
Gutiérrez-Becker, Benjamín, et al.. (2013). Automatic segmentation of the fetal cerebellum on ultrasound volumes, using a 3D statistical shape model. Medical & Biological Engineering & Computing. 51(9). 1021–1030. 24 indexed citations

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.

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