Mauricio Reyes

1.2k total citations · 1 hit paper
12 papers, 827 citations indexed

About

Mauricio Reyes is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mauricio Reyes has authored 12 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mauricio Reyes's work include Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Brain Tumor Detection and Classification (3 papers). Mauricio Reyes is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Brain Tumor Detection and Classification (3 papers). Mauricio Reyes collaborates with scholars based in Switzerland, Italy and Germany. Mauricio Reyes's co-authors include Stefan Bauer, Lutz-P. Nolte, K. Shahim, Daniel Buser, Vivianne Chappuis, LP Nolte, Christos Katsaros, Tim Joda, Ramona Buser and Philippe Büchler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dental Research and Lecture notes in computer science.

In The Last Decade

Mauricio Reyes

10 papers receiving 794 citations

Hit Papers

Ridge Alterations Post-extraction in the Esthetic Zone 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mauricio Reyes Switzerland 8 421 322 266 260 110 12 827
Eha Renwi Astuti Indonesia 11 317 0.8× 35 0.1× 36 0.1× 11 0.0× 51 0.5× 51 445
Kleoniki Lyroudia Greece 16 356 0.8× 17 0.1× 56 0.2× 2 0.0× 118 1.1× 43 632
Michihito Nozawa Japan 13 569 1.4× 23 0.1× 15 0.1× 13 0.1× 15 0.1× 26 896
Bernhard Lehner Austria 13 144 0.3× 65 0.2× 92 0.3× 79 0.7× 26 498
Jiangli Lin China 11 37 0.1× 7 0.0× 55 0.2× 23 0.1× 10 0.1× 48 393
Jiawei Huang China 6 147 0.3× 5 0.0× 26 0.1× 11 0.0× 21 0.2× 11 252
Xiaoyu Yang China 10 93 0.2× 4 0.0× 34 0.1× 13 0.1× 9 0.1× 61 384
René Donner Austria 9 112 0.3× 5 0.0× 89 0.3× 8 0.0× 39 0.4× 23 298
Chung-Hsing Li Taiwan 6 324 0.8× 7 0.0× 54 0.2× 2 0.0× 139 1.3× 19 457

Countries citing papers authored by Mauricio Reyes

Since Specialization
Citations

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

Fields of papers citing papers by Mauricio Reyes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauricio Reyes

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

All Works

12 of 12 papers shown
1.
Mortanges, Aurélie Pahud de, et al.. (2025). Explainable AI in medicine: challenges of integrating XAI into the future clinical routine. PubMed. 5. 1627169–1627169. 3 indexed citations
2.
Yang, Junlin, Nicha C. Dvornek, Aurélie Pahud de Mortanges, et al.. (2024). Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week. Computerized Medical Imaging and Graphics. 118. 102442–102442.
3.
Pöllinger, Alexander, Aurélie Pahud de Mortanges, Verena Carola Obmann, et al.. (2024). DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers. SHILAP Revista de lepidopterología. 4. 1420545–1420545. 3 indexed citations
4.
Chappuis, Vivianne, K. Shahim, Ramona Buser, et al.. (2018). Novel Collagen Matrix to Increase Tissue Thickness Simultaneous with Guided Bone Regeneration and Implant Placement in Esthetic Implant Sites: A Feasibility Study. The International Journal of Periodontics & Restorative Dentistry. 38(4). 575–582. 12 indexed citations
5.
Bauer, Stefan, et al.. (2015). A Skull-Stripping Filter for ITK. Open Access CRIS of the University of Bern. 26 indexed citations
6.
Chappuis, Vivianne, et al.. (2015). Soft Tissue Alterations in Esthetic Postextraction Sites. Journal of Dental Research. 94(9_suppl). 187S–193S. 133 indexed citations
7.
Bauer, Stefan, Nicole Porz, Raphael Meier, et al.. (2014). Interactive segmentation of MR images from brain tumor patients. 862–865.
8.
Bauer, Stefan, et al.. (2013). A Skull-Stripping Filter for ITK. 49 indexed citations
9.
Bauer, Stefan, et al.. (2013). Integrated segmentation of brain tumor images for radiotherapy and neurosurgery. International Journal of Imaging Systems and Technology. 23(1). 59–63. 7 indexed citations
10.
Chappuis, Vivianne, et al.. (2013). Ridge Alterations Post-extraction in the Esthetic Zone. Journal of Dental Research. 92(12_suppl). 195S–201S. 292 indexed citations breakdown →
11.
Bauer, Stefan, Lutz-P. Nolte, & Mauricio Reyes. (2011). Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization. Lecture notes in computer science. 14(Pt 3). 354–361. 279 indexed citations
12.
Bauer, Stefan, Lutz-P. Nolte, & Mauricio Reyes. (2011). Segmentation of brain tumor images based on atlas-registration combined with a Markov-Random-Field lesion growth model. 2018–2021. 23 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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