Lars Mündermann

23 papers receiving 1.4k citations

Peers

Lars Mündermann
Comparison fields: 5 of 120
  • Computer Graphics and Computer-Aided Design 128
  • Physical Therapy, Sports Therapy and Rehabilitation 121
  • Computer Vision and Pattern Recognition 436
  • Orthopedics and Sports Medicine 174
  • Human-Computer Interaction 108
Replace Pietro Cerveri with:
Pietro Cerveri Italy
Antonio Susín Spain
Stefano Corazza United States
Katsu Yamane United States
Victor Ng‐Thow‐Hing United States
Herman J. Woltring Netherlands
H. J. Sommer United States
P. Slycke Netherlands
Yuichi Kurita Japan
Alon Wolf Israel
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Citations per field
00.5×10×14.2×
Pietro Cerveri · 1×
Citations per year

Countries citing papers authored by Lars Mündermann

Since Specialization
Citations

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

Fields of papers citing papers by Lars Mündermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lars Mündermann, 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 Lars Mündermann Line = papers co-authored together Lars Mündermann 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 2006248
2 2007223
3 2006219
4 2001193
5 2009152
6 200589
7 200750
8 200842
9 200440
10 200134
11 200831
12 200723
13 200423
14 200520
15 200614
16 201213
17 200212
18 20176
19 20056
20 20175

About Lars Mündermann

Lars Mündermann is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery, Human-Computer Interaction and Control and Systems Engineering, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Hand Gesture Recognition Systems (5 papers), Lower Extremity Biomechanics and Pathologies (4 papers), Healthcare Technology and Patient Monitoring (3 papers), Human Motion and Animation (3 papers), Leaf Properties and Growth Measurement (3 papers), Fire Detection and Safety Systems (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (128 citations), Physical Therapy, Sports Therapy and Rehabilitation (121 citations), Computer Vision and Pattern Recognition (436 citations), Orthopedics and Sports Medicine (174 citations) and Human-Computer Interaction (108 citations). Lars Mündermann has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Thomas P. Andriacchi, Stefano Corazza, Przemysław Prusinkiewicz, Annegret Mündermann, Brendan Lane, Jessica L. Asay, Radoslaw Karwowski, T.P. Andriacchi, Ajit M.W. Chaudhari and Emiliano Gambaretto. Their work appears in journals such as Journal of Biomechanics, PLANT PHYSIOLOGY, Journal of Biomechanical Engineering, Journal of Applied Physics and Journal of NeuroEngineering and Rehabilitation.

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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