Dominik Schuldhaus

745 citations
20 papers · 579 indexed · h-index 10
Topics
Context-Aware Activity Recognition Systems (8 papers)Time Series Analysis and Forecasting (4 papers)Non-Invasive Vital Sign Monitoring (4 papers)
Partner nations
Germany

In The Last Decade

Dominik Schuldhaus

20 papers receiving 560 citations

Peers

Dominik Schuldhaus
Comparison fields: 5 of 78
  • Biomedical Engineering 283
  • Computer Vision and Pattern Recognition 263
  • Physical Therapy, Sports Therapy and Rehabilitation 121
  • Artificial Intelligence 98
  • Orthopedics and Sports Medicine 62
Replace Thomas Kautz with:
Thomas Kautz Germany
Christine F. Martindale Germany
Julius Hannink Germany
Michael Hardegger Switzerland
M. Sekine Japan
Patrick Kugler Germany
Can Tunca Türkiye
Chandra Prakash India
Deepak Joshi India
Dominik Schuldhaus relative to Thomas Kautz Germany Thomas Kautz's profile →
Citations per field
00.5×4.4×
Thomas Kautz · 1×
Citations per year

Countries citing papers authored by Dominik Schuldhaus

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Schuldhaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Schuldhaus

This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Schuldhaus. A scholar is included among the top collaborators of Dominik Schuldhaus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dominik Schuldhaus. Dominik Schuldhaus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 31
2 5
3 4
4 6
5 8
6 153
7 8
8 68
9 1
10 13
11 17
12 11
13 153
14 34
15 11
16 38
17
Classification of Surfaces and Inclinations During Outdoor Running Using Shoe-Mounted Inertial Sensors
8
18
Automatic Classification of Sport Exercises for Training Support
1
19 8
20 1

About Dominik Schuldhaus

Dominik Schuldhaus is a scholar working on Computer Vision and Pattern Recognition, Physical Therapy, Sports Therapy and Rehabilitation and Signal Processing, having authored 20 papers that have together received 579 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (8 papers), Time Series Analysis and Forecasting (4 papers) and Non-Invasive Vital Sign Monitoring (4 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (121 citations), Computer Vision and Pattern Recognition (263 citations) and Human-Computer Interaction (43 citations). Dominik Schuldhaus has collaborated with scholars based in Germany. Frequent co-authors include Bjoern M. Eskofier, Heike Leutheuser, Patrick Kugler, Peter de Blank, Samuel Reinfelder, Jochen Klucken, Jürgen Winkler, Jens Barth, Cristian Pasluosta and Samuel Schülein. Their work appears in journals such as PLoS ONE, Sensors and Physics in Medicine and Biology.

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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