Manuel Kaufmann

1.1k citations
19 papers · 550 · h-index 8

Impact in

Papers in

Manuel Kaufmann

15 papers receiving 527 citations

Peers

Manuel Kaufmann
Comparison fields: 5 of 70
  • Human-Computer Interaction 112
  • Computer Vision and Pattern Recognition 395
  • Control and Systems Engineering 219
  • Physical Therapy, Sports Therapy and Rehabilitation 21
  • Computational Mechanics 83
Replace Emre Aksan with:
Emre Aksan Switzerland
Umar Iqbal United States
Lin Gui China
Sebastian Starke United Kingdom
Shunsuke Kudoh Japan
Jungdam Won South Korea
Donglai Xiang United States
Yu‐Hui Wen China
Grégory Rogez Spain
Tengyu Liu China
Manuel Kaufmann relative to Emre Aksan Switzerland Emre Aksan's profile →
Citations per field
00.5×1.5×
Emre Aksan · 1×
Citations per year

Countries citing papers authored by Manuel Kaufmann

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2018209
2 2021144
3 202376
4 202331
5 202123
6 202320
7 202315
8
Attention, please: A Spatio-temporal Transformer for 3D Human Motion Prediction
202013
9 20215
10 20245
11
Network of the Day: Aggregating and Visualizing Entity Networks from Online Sources
20143
12 20212
13 20252
14 20221
15 20171
16 20220
17 20240
18 20120
19 20210

About Manuel Kaufmann

Manuel Kaufmann is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mechanics, Biomedical Engineering and Industrial and Manufacturing Engineering, having authored 19 papers that have together received 550 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (11 papers), 3D Shape Modeling and Analysis (7 papers), Human Motion and Animation (6 papers), Advanced Vision and Imaging (4 papers), Manufacturing Process and Optimization (3 papers), Advanced X-ray and CT Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Human-Computer Interaction (112 citations), Computer Vision and Pattern Recognition (395 citations), Control and Systems Engineering (219 citations), Physical Therapy, Sports Therapy and Rehabilitation (21 citations) and Computational Mechanics (83 citations). Manuel Kaufmann has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Otmar Hilliges, Emre Aksan, Michael J. Black, Peng Cao, Yinghao Huang, Gerard Pons‐Moll, Muhammed Kocabas, Dimitrios Tzionas, Omid Taheri and Juan Zarate. Their work appears in journals such as ACM Transactions on Graphics, Applied Sciences, Journal of sensors and sensor systems, Biomedizinische Technik/Biomedical Engineering and tm - Technisches Messen.

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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