Markus Unger

599 citations
23 papers · 261 · h-index 9

Impact in

Papers in

Markus Unger

22 papers receiving 249 citations

Peers

Markus Unger
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 157
  • Structural Biology 9
  • Biophysics 17
  • Radiology, Nuclear Medicine and Imaging 35
  • Computer Graphics and Computer-Aided Design 5
Replace Edgar Garduño with:
Edgar Garduño Mexico
Byeong Hak Kim South Korea
Matteo Maggioni Sweden
Kang-Yu Ni United States
Ritwik Kumar United States
Sebastian Lunz United Kingdom
Virginia Estellers Switzerland
Frank M. Candocia United States
Toru Kurihara Japan
David Helbert France
Markus Unger relative to Edgar Garduño Mexico Edgar Garduño's profile →
Citations per field
00.5×2.9×
Edgar Garduño · 1×
Citations per year

Countries citing papers authored by Markus Unger

Since Specialization
Citations

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

Fields of papers citing papers by Markus Unger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200873
2 201231
3 201222
4 200921
5 201120
6 201019
7 200819
8
Continuous Globally Optimal Image Segmentation with Local Constraints
200814
9 19989
10 20077
11
Interactive globally optimal image segmentation
20085
12 20114
13 20114
14 20192
15 20132
16 20082
17 20122
18 20111
19 20121
20 20081

About Markus Unger

Markus Unger is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering, having authored 23 papers that have together received 261 indexed citations. Recurring topics across this work include Electromagnetic Compatibility and Noise Suppression (8 papers), Medical Image Segmentation Techniques (6 papers), Electromagnetic Compatibility and Measurements (5 papers), Electrostatic Discharge in Electronics (4 papers), Medical Imaging Techniques and Applications (2 papers), Image Retrieval and Classification Techniques (2 papers), Power Line Communications and Noise (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (157 citations), Structural Biology (9 citations), Biophysics (17 citations), Radiology, Nuclear Medicine and Imaging (35 citations) and Computer Graphics and Computer-Aided Design (5 citations). Markus Unger has collaborated with scholars based in Germany, Austria and China. Frequent co-authors include Thomas Pock, Horst Bischof, Daniel Cremers, Werner Trobin, Manuel Werlberger, Tao Su, Robert Weigel, Amir Saffari, Christian Leistner and Wolfgang Pfaff. Their work appears in journals such as IEEE Transactions on Electromagnetic Compatibility, Magnetic Resonance Materials in Physics Biology and Medicine, IEEE Journal on Selected Areas in Communications, Electronics Letters and Lecture notes in computer science.

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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