Mathias Markert

495 citations
16 papers · 418 · h-index 9

Impact in

    • Anatomy and Medical Technology
    • 3D Printing in Biomedical Research
    • Soft Robotics and Applications
    • Surgical Simulation and Training
    • Cardiac and Coronary Surgery Techniques

Papers in

Mathias Markert

14 papers receiving 394 citations

Peers

Mathias Markert
Comparison fields: 5 of 51
  • Biomedical Engineering 292
  • Surgery 175
  • Automotive Engineering 41
  • Computer Vision and Pattern Recognition 45
  • Cardiology and Cardiovascular Medicine 38
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Citations per field
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Citations per year

Countries citing papers authored by Mathias Markert

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Markert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathias Markert, 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 Mathias Markert Line = papers co-authored together Mathias Markert links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2007114
2 200891
3 200884
4 200747
5 201020
6 200916
7 200713
8 201110
9 20119
10
Manual registration of ultrasound with CT/planning data for hepatic surgery.
20076
11 20115
12 20101
13
Surface tracking of organs for registration in soft tissue surgery
20081
14 20091
15 20250
16 20230

About Mathias Markert

Mathias Markert is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery, Computational Mechanics and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 418 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Anatomy and Medical Technology (4 papers), 3D Shape Modeling and Analysis (4 papers), Surgical Simulation and Training (3 papers), Augmented Reality Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Head and Neck Surgical Oncology (1 paper) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Biomedical Engineering (292 citations), Surgery (175 citations), Automotive Engineering (41 citations), Computer Vision and Pattern Recognition (45 citations) and Cardiology and Cardiovascular Medicine (38 citations). Mathias Markert has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Tim C. Lueth, Stefan Weber, Bruno Reichart, Ralf Sodian, Sabine Daebritz, Christoph Schmitz, Ingo Kaczmarek, Konstantin Nikolaou, Ferdinand Vogt and Johannes P. Schwaiger. Their work appears in journals such as Human Reproduction, The Annals of Thoracic Surgery, International Journal of Computer Assisted Radiology and Surgery, Journal of Thoracic and Cardiovascular Surgery and Conference proceedings.

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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