Carlos Becker

921 total citations
20 papers, 584 citations indexed

About

Carlos Becker is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Carlos Becker has authored 20 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Biophysics. Recurrent topics in Carlos Becker's work include Cell Image Analysis Techniques (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Electron Microscopy Techniques and Applications (4 papers). Carlos Becker is often cited by papers focused on Cell Image Analysis Techniques (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Electron Microscopy Techniques and Applications (4 papers). Carlos Becker collaborates with scholars based in Switzerland, United States and France. Carlos Becker's co-authors include Pascal Fua, Vincent Lepetit, Roberto Rigamonti, Graham Knott, Christoph Strecha, Raphael Sznitman, Karim Ali, Engin Türetken, Reinhold Penner and Florian Dreyer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Medical Imaging.

In The Last Decade

Carlos Becker

20 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos Becker Switzerland 15 214 122 96 93 75 20 584
Thomas Koller Switzerland 6 528 2.5× 112 0.9× 102 1.1× 447 4.8× 54 0.7× 16 1.1k
Luis Baumela Spain 16 714 3.3× 56 0.5× 134 1.4× 63 0.7× 22 0.3× 53 996
Louis Borgeat Canada 8 138 0.6× 84 0.7× 41 0.4× 254 2.7× 38 0.5× 20 668
Martin Storath Germany 12 349 1.6× 39 0.3× 67 0.7× 98 1.1× 127 1.7× 34 922
Mie Sato Japan 11 263 1.2× 34 0.3× 31 0.3× 59 0.6× 31 0.4× 58 500
Theodoros Georgiou Cyprus 10 337 1.6× 13 0.1× 176 1.8× 83 0.9× 89 1.2× 35 894
Katja Bühler Austria 18 535 2.5× 108 0.9× 89 0.9× 136 1.5× 75 1.0× 69 1.1k
Henrik Skibbe Japan 11 181 0.8× 69 0.6× 24 0.3× 72 0.8× 68 0.9× 38 484
Ernesto Bribiesca Mexico 14 518 2.4× 20 0.2× 160 1.7× 93 1.0× 36 0.5× 55 857
Daniel Fritsch United States 13 674 3.1× 70 0.6× 80 0.8× 201 2.2× 37 0.5× 37 1.0k

Countries citing papers authored by Carlos Becker

Since Specialization
Citations

This map shows the geographic impact of Carlos 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 Carlos Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Becker more than expected).

Fields of papers citing papers by Carlos Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos 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 Carlos Becker. The network helps show where Carlos Becker may publish in the future.

Co-authorship network of co-authors of Carlos Becker

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Becker. A scholar is included among the top collaborators of Carlos 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 Carlos Becker. Carlos Becker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Becker, Carlos, et al.. (2019). Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images. IEEE Transactions on Medical Imaging. 39(4). 1256–1267. 11 indexed citations
2.
Calı, Corrado, Carlos Becker, Bohumil Maco, et al.. (2018). The effects of aging on neuropil structure in mouse somatosensory cortex—A 3D electron microscopy analysis of layer 1. PLoS ONE. 13(7). e0198131–e0198131. 45 indexed citations
3.
Becker, Carlos, et al.. (2018). Classification of Aerial Photogrammetric 3D Point Clouds. Photogrammetric Engineering & Remote Sensing. 84(5). 287–295. 57 indexed citations
4.
Becker, Carlos, et al.. (2017). CLASSIFICATION OF AERIAL PHOTOGRAMMETRIC 3D POINT CLOUDS. SHILAP Revista de lepidopterología. IV-1/W1. 3–10. 31 indexed citations
5.
Türetken, Engin, Xinchao Wang, Carlos Becker, Carsten Haubold, & Pascal Fua. (2016). Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences. IEEE Transactions on Medical Imaging. 36(4). 942–951. 45 indexed citations
6.
Lucchi, Aurélien, Pablo Márquez-Neila, Carlos Becker, et al.. (2014). Learning Structured Models for Segmentation of 2-D and 3-D Imagery. IEEE Transactions on Medical Imaging. 34(5). 1096–1110. 18 indexed citations
7.
Sznitman, Raphael, Carlos Becker, & Pascal Fua. (2014). Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery. Lecture notes in computer science. 17(Pt 2). 692–699. 37 indexed citations
8.
Becker, Carlos, C. Mario Christoudias, & Pascal Fua. (2014). Domain Adaptation for Microscopy Imaging. IEEE Transactions on Medical Imaging. 34(5). 1125–1139. 22 indexed citations
9.
Lucchi, Aurélien, et al.. (2014). Exploiting Enclosing Membranes and Contextual Cues for Mitochondria Segmentation. Lecture notes in computer science. 17(Pt 1). 65–72. 18 indexed citations
10.
Becker, Carlos, et al.. (2013). Non-Linear Domain Adaptation with Boosting. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 26. 485–493. 18 indexed citations
11.
Becker, Carlos, Roberto Rigamonti, Vincent Lepetit, & Pascal Fua. (2013). Supervised Feature Learning for Curvilinear Structure Segmentation. Lecture notes in computer science. 16(Pt 1). 526–533. 116 indexed citations
12.
Türetken, Engin, et al.. (2013). Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery Using Multi-directional Oriented Flux. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1553–1560. 22 indexed citations
13.
Becker, Carlos, Roberto Rigamonti, Vincent Lepetit, & Pascal Fua. (2013). KernelBoost: Supervised Learning of Image Features For Classification. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4 indexed citations
14.
Sznitman, Raphael, Carlos Becker, François Fleuret, & Pascal Fua. (2013). Fast Object Detection with Entropy-Driven Evaluation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 14. 3270–3277. 17 indexed citations
15.
Becker, Carlos, Karim Ali, Graham Knott, & Pascal Fua. (2013). Learning Context Cues for Synapse Segmentation. IEEE Transactions on Medical Imaging. 32(10). 1864–1877. 40 indexed citations
16.
Becker, Carlos, Karim Ali, Graham Knott, & Pascal Fua. (2012). Learning Context Cues for Synapse Segmentation in EM Volumes. Lecture notes in computer science. 15(Pt 1). 585–592. 14 indexed citations
17.
Becker, Carlos, David Ribas, & Pere Ridao. (2012). Simultaneous Sonar Beacon Localization & AUV Navigation. IFAC Proceedings Volumes. 45(27). 200–205. 10 indexed citations
18.
Becker, Carlos, et al.. (2012). Transfer Learning by Sharing Support Vectors. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 6 indexed citations
19.
Dreyer, Florian, et al.. (1987). Differential effects of various secretagogues on quantal transmitter release from mouse motor nerve terminals treated with botulinum A and tetanus toxin. Naunyn-Schmiedeberg s Archives of Pharmacology. 335(1). 1–7. 44 indexed citations
20.
Dreyer, Florian, Carlos Becker, Hans Bigalke, et al.. (1984). Action of botulinum A toxin and tetanus toxin on synaptic transmission.. PubMed. 79(4). 252–8. 9 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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