Markus Wagner

3.2k citations
77 papers · 1.8k · h-index 22

Impact in

Papers in

Markus Wagner

71 papers receiving 1.7k citations

Peers

Markus Wagner
Comparison fields: 5 of 145
  • Computer Graphics and Computer-Aided Design 318
  • Computer Vision and Pattern Recognition 530
  • Rehabilitation 123
  • Signal Processing 211
  • Human-Computer Interaction 52
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Imma Boada Spain
Hassan Ugail United Kingdom
Gordon Clapworthy United Kingdom
Kup‐Sze Choi Hong Kong
Emmanuel Agu United States
Bin Sheng China
Hoshang Kolivand United Kingdom
Chee‐Kong Chui Singapore
Κωνσταντίνος Μουστάκας Greece
Irene Cheng Canada
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Citations per field
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Citations per year

Countries citing papers authored by Markus Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Markus Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001341
2 2021188
3 2002154
4 200693
5 200382
6 200575
7 201172
8 201568
9 201945
10 200744
11 201543
12 201140
13 201739
14 201837
15 201737
16 201831
17 201025
18 202223
19 200923
20 201522

About Markus Wagner

Markus Wagner is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Surgery, Sociology and Political Science and Epidemiology, having authored 77 papers that have together received 1.8k indexed citations. Recurring topics across this work include Data Visualization and Analytics (17 papers), Multimedia Communication and Technology (8 papers), Video Analysis and Summarization (7 papers), Advanced Malware Detection Techniques (7 papers), Acute Ischemic Stroke Management (6 papers), Stroke Rehabilitation and Recovery (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Augmented Reality Applications (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (318 citations), Computer Vision and Pattern Recognition (530 citations), Rehabilitation (123 citations), Signal Processing (211 citations) and Human-Computer Interaction (52 citations). Markus Wagner has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Ingo Wald, Philipp Slusallek, Carsten Benthin, Wolfgang Aigner, Alexander Rind, O. Busse, Klaus Kraywinkel, Roman L. Haberl, Christian Weimar and Klaus Dresing. Their work appears in journals such as Stroke, Methods of Information in Medicine, Journal of Biomechanics, Energy Conversion and Management and Informatics for Health and Social Care.

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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