Delphine Ribes

13 papers receiving 323 citations

Peers

Delphine Ribes
Comparison fields: 5 of 78
  • Radiology, Nuclear Medicine and Imaging 138
  • Neurology 43
  • Pathology and Forensic Medicine 66
  • Psychiatry and Mental health 55
  • Cognitive Neuroscience 58
Replace Benjamin Y. M. Kwan with:
Benjamin Y. M. Kwan Canada
Liping Fu China
Hasyma Abu Hassan Malaysia
Salil Soman United States
Jiance Li China
Roy Harnish United States
Kota Yokoyama Japan
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Prasanna Parvathaneni United States
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Citations per year

Countries citing papers authored by Delphine Ribes

Since Specialization
Citations

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

Fields of papers citing papers by Delphine Ribes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Delphine Ribes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Delphine Ribes Line = papers co-authored together Delphine Ribes links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2014154
2 201269
3 201642
4 201134
5 20198
6 20215
7 20234
8 20104
9
Comparison of tissue classification models for automatic brain MR segmentation
20112
10
Automated quality control in MR-based brain morphometry
20122
11 20241
12
Optimized Workflow for US/MeVis-CT based registration in Image Guided Liver Surgery
20131
13
[Anterior bridges on deciduous teeth].
19811
14 20250

About Delphine Ribes

Delphine Ribes is a scholar working on Human-Computer Interaction, Surgery, General Health Professions, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 327 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (3 papers), Advanced MRI Techniques and Applications (2 papers), Medical Image Segmentation Techniques (2 papers), Mobile Health and mHealth Applications (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Cell Image Analysis Techniques (1 paper), Alzheimer's disease research and treatments (1 paper) and Multisensory perception and integration (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (138 citations), Neurology (43 citations), Pathology and Forensic Medicine (66 citations), Psychiatry and Mental health (55 citations) and Cognitive Neuroscience (58 citations). Delphine Ribes has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Meritxell Bach Cuadra, Alexis Roche, Reto Meuli, Gunnar Krueger, Cristina Granziera, Daniel Schmitter, Alessandro Daducci, Stefan Klöppel, Ahmed Abdulkadir and Philippe Maeder. Their work appears in journals such as Investigative Radiology, Langenbeck s Archives of Surgery, NeuroImage Clinical, Medical Image Analysis and PLoS ONE.

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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