M. Kauer

509 citations
7 papers · 375 · h-index 6

Impact in

Papers in

    • Elasticity and Material Modeling 4
    • Anatomy and Medical Technology 2
    • Soft Robotics and Applications 1
    • Surgical Simulation and Training 2
    • Orthopaedic implants and arthroplasty 1

M. Kauer

7 papers receiving 363 citations

Peers

M. Kauer
Comparison fields: 5 of 74
  • Computer Graphics and Computer-Aided Design 33
  • Biomedical Engineering 209
  • Computational Mechanics 79
  • Computer Vision and Pattern Recognition 71
  • Orthopedics and Sports Medicine 20
Replace V. Vuskovic with:
V. Vuskovic Switzerland
Olivier Comas France
Mert Sedef Türkiye
Rudy J Lapeer United Kingdom
Marek Bucki France
Cinzia Zannoni Italy
Amy E. Kerdok United States
Wouter Mollemans Belgium
Thomas Canfield United States
Béatrice Couteau France
M. Kauer relative to V. Vuskovic Switzerland V. Vuskovic's profile →
Citations per field
00.5×1.5×
V. Vuskovic · 1×
Citations per year

Countries citing papers authored by M. Kauer

Since Specialization
Citations

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

Fields of papers citing papers by M. Kauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside M. Kauer, 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 M. Kauer Line = papers co-authored together M. Kauer links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2002192
2 200066
3 200254
4 200128
5
Virtual reality based surgery simulation for endoscopic gynaecology.
199921
6 20019
7
Method and device for in-vivo measurement of elasto-mechanical properties of soft biological tissues
19995

About M. Kauer

M. Kauer is a scholar working on Biomedical Engineering, Surgery, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Fluid Flow and Transfer Processes, having authored 7 papers that have together received 375 indexed citations. Recurring topics across this work include Elasticity and Material Modeling (4 papers), Augmented Reality Applications (2 papers), Anatomy and Medical Technology (2 papers), Surgical Simulation and Training (2 papers), Automotive and Human Injury Biomechanics (1 paper), Soft Robotics and Applications (1 paper), Bone fractures and treatments (1 paper) and Orthopaedic implants and arthroplasty (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (33 citations), Biomedical Engineering (209 citations), Computational Mechanics (79 citations), Computer Vision and Pattern Recognition (71 citations) and Orthopedics and Sports Medicine (20 citations). M. Kauer has collaborated with scholars based in Switzerland. Frequent co-authors include V. Vuskovic, Gábor Székely, Jürg Dual, Michael Bajka, Rolf Enzler, Peter F. Niederer, Gerhard Tröster, Urs Haller, Valeria Meier and Gerhard Schweitzer. Their work appears in journals such as Computer Methods in Biomechanics & Biomedical Engineering, Medical Image Analysis, PRESENCE Virtual and Augmented Reality, Lecture notes in computer science and PubMed.

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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