Michael Seger

472 citations
38 papers · 363 · h-index 10

Impact in

Papers in

Michael Seger

36 papers receiving 348 citations

Peers

Michael Seger
Comparison fields: 5 of 43
  • Cardiology and Cardiovascular Medicine 253
  • Mathematical Physics 88
  • Molecular Biology 37
  • Computer Vision and Pattern Recognition 13
  • Electrical and Electronic Engineering 30
Replace Brett M. Burton with:
Brett M. Burton United States
Qing Wei Australia
Judit Chamorro-Servent Spain
Daniel Hornung Germany
BRUCE M. STEINHAUS United States
Mathias Wilhelms Germany
C. Viganotti Italy
Piero Colli-Franzone Italy
David W. Frazier United States
Olga Voroshilovsky United States
Michael Seger relative to Brett M. Burton United States Brett M. Burton's profile →
Citations per field
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Brett M. Burton · 1×
Citations per year

Countries citing papers authored by Michael Seger

Since Specialization
Citations

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

Fields of papers citing papers by Michael Seger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200345
2 200437
3 201137
4 201136
5 200430
6 200626
7 200515
8 200515
9 200413
10 201512
11 200610
12 201410
13 20089
14 20036
15 20076
16 20136
17 20135
18 20145
19 20044
20 20054

About Michael Seger

Michael Seger is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Mathematical Physics, Information Systems and Management and Electrical and Electronic Engineering, having authored 38 papers that have together received 363 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (16 papers), ECG Monitoring and Analysis (15 papers), Cardiac electrophysiology and arrhythmias (11 papers), Medical Image Segmentation Techniques (7 papers), Numerical methods in inverse problems (4 papers), Cardiac pacing and defibrillation studies (3 papers), Magnetic Field Sensors Techniques (3 papers) and Electric Motor Design and Analysis (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (253 citations), Mathematical Physics (88 citations), Molecular Biology (37 citations), Computer Vision and Pattern Recognition (13 citations) and Electrical and Electronic Engineering (30 citations). Michael Seger has collaborated with scholars based in Austria, United States and China. Frequent co-authors include F. Hanser, BERNHARD TILG, R. Modre, Bernhard Erich Pfeifer, Florian Hintringer, Christian Baumgärtner, Christoph Hintermüller, Thomas Berger, Michael S. Handler and Thomas Trieb. Their work appears in journals such as Methods of Information in Medicine, IEEE Transactions on Biomedical Engineering, EP Europace, Journal of Cardiovascular Electrophysiology and Cryobiology.

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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