Felix Ambellan

995 citations
13 papers · 375 indexed · h-index 6

Felix Ambellan

11 papers receiving 372 citations

Peers

Felix Ambellan
Comparison fields: 5 of 62
  • Health Informatics 12
  • Rheumatology 123
  • Computer Vision and Pattern Recognition 102
  • Geometry and Topology 34
  • Orthopedics and Sports Medicine 34
Replace Moritz Ehlke with:
Moritz Ehlke Germany
Alexander Tack Germany
Khaled Harrar Algeria
Aleš Neubert Australia
Heiko Seim Germany
Manasi Datar United States
Gengyan Zhao United States
Ioannis Boniatis Greece
Jukka Hirvasniemi Finland
Berk Norman United States
Felix Ambellan relative to Moritz Ehlke Germany Moritz Ehlke's profile →
Citations per field
00.5×3.1×
Moritz Ehlke · 1×
Citations per year

Countries citing papers authored by Felix Ambellan

Since Specialization
Citations

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

Fields of papers citing papers by Felix Ambellan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Felix Ambellan, 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 Felix Ambellan Line = papers co-authored together Felix Ambellan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20240
2 20231
3 20228
4 20223
5 202111
6 202114
7 20210
8 201966
9
Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative
20183
10 2018242
11 20175
12 201721
13
A Riemannian Statistical Shape Model using Differential Coordinates
20161

About Felix Ambellan

Felix Ambellan is a scholar working on Geometry and Topology, Computer Vision and Pattern Recognition and Rheumatology, having authored 13 papers that have together received 375 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (5 papers), Medical Image Segmentation Techniques (4 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Orthopaedic implants and arthroplasty (3 papers), Digital Imaging for Blood Diseases (3 papers), Human Pose and Action Recognition (3 papers), Total Knee Arthroplasty Outcomes (3 papers) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Health Informatics (12 citations), Rheumatology (123 citations) and Computer Vision and Pattern Recognition (102 citations). Felix Ambellan has collaborated with scholars based in Germany, Italy and Canada. Frequent co-authors include Stefan Zachow, Alexander Tack, Moritz Ehlke, Christoph von Tycowicz, Hans Lamecker, Anirban Mukhopadhyay, Wolfgang Potthast, Andrea Giachetti, David Wilson and Marco Cristani. Their work appears in journals such as Medical Image Analysis, Applied Sciences, Scientific Reports, Advances in experimental medicine and biology and Computer Aided Geometric Design.

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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