Marc Horner

44 papers receiving 1.1k citations

Peers

Marc Horner
Comparison fields: 5 of 145
  • Structural Biology 94
  • Health Informatics 13
  • Surfaces, Coatings and Films 71
  • Cardiology and Cardiovascular Medicine 128
  • Biomedical Engineering 216
Replace Yueh Z. Lee with:
Yueh Z. Lee United States
Mirabela Rusu United States
Heinz U. Lemke Germany
Hongki Yoo South Korea
Long Hsu Taiwan
Masato Nakajima Japan
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Citations per field
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Yueh Z. Lee · 1×
Citations per year

Countries citing papers authored by Marc Horner

Since Specialization
Citations

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

Fields of papers citing papers by Marc Horner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979302
2 2020215
3 202071
4 201944
5
Brain and Human Body Modeling : Computational Human Modeling at EMBC 2018
201940
6 201838
7 201836
8 201033
9 202131
10 199830
11 201026
12 201723
13 201522
14 201417
15 200816
16 200715
17 201212
18 200912
19 201812
20 20179

About Marc Horner

Marc Horner is a scholar working on Biomedical Engineering, Surgery, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (6 papers), Mechanical Circulatory Support Devices (4 papers), Advanced MRI Techniques and Applications (4 papers), Cardiac Valve Diseases and Treatments (3 papers), Nuclear Engineering Thermal-Hydraulics (3 papers), Cardiovascular Function and Risk Factors (3 papers), Medical Image Segmentation Techniques (2 papers) and Optical Imaging and Spectroscopy Techniques (2 papers). The work is most often cited by research in Structural Biology (94 citations), Health Informatics (13 citations), Surfaces, Coatings and Films (71 citations), Cardiology and Cardiovascular Medicine (128 citations) and Biomedical Engineering (216 citations). Marc Horner has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include W. O. Saxton, Tony Pitt, Marco Viceconti, Francesco Pappalardo, Blanca Rodríguez, Jeffrey E. Bischoff, Tina Morrison, Prasanna Hariharan, Gregory M. Noetscher and Sergey Makarov. Their work appears in journals such as ASAIO Journal, Journal of Biomechanical Engineering, Magnetic Resonance Materials in Physics Biology and Medicine, Biotechnology Progress and Annals of Biomedical Engineering.

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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