Dominik Schuldhaus

745 total citations
20 papers, 579 citations indexed

About

Dominik Schuldhaus is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Dominik Schuldhaus has authored 20 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 11 papers in Biomedical Engineering and 4 papers in Computer Networks and Communications. Recurrent topics in Dominik Schuldhaus's work include Context-Aware Activity Recognition Systems (8 papers), Time Series Analysis and Forecasting (4 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Dominik Schuldhaus is often cited by papers focused on Context-Aware Activity Recognition Systems (8 papers), Time Series Analysis and Forecasting (4 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Dominik Schuldhaus collaborates with scholars based in Germany. Dominik Schuldhaus's co-authors include Bjoern M. Eskofier, Heike Leutheuser, Patrick Kugler, Peter de Blank, Samuel Reinfelder, Jürgen Winkler, Jens Barth, Jochen Klucken, Heiko Gaßner and Cristian Pasluosta and has published in prestigious journals such as PLoS ONE, Sensors and Physics in Medicine and Biology.

In The Last Decade

Dominik Schuldhaus

20 papers receiving 560 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dominik Schuldhaus Germany 10 283 263 121 98 62 20 579
Thomas Kautz Germany 10 199 0.7× 169 0.6× 69 0.6× 115 1.2× 62 1.0× 23 573
M. Sekine Japan 12 425 1.5× 294 1.1× 246 2.0× 69 0.7× 20 0.3× 37 724
Michael Hardegger Switzerland 12 364 1.3× 168 0.6× 198 1.6× 44 0.4× 29 0.5× 14 670
Julius Hannink Germany 12 328 1.2× 171 0.7× 239 2.0× 78 0.8× 51 0.8× 24 683
Christine F. Martindale Germany 13 286 1.0× 121 0.5× 121 1.0× 41 0.4× 50 0.8× 24 546
Patrick Kugler Germany 15 528 1.9× 172 0.7× 262 2.2× 83 0.8× 71 1.1× 35 965
Deepak Joshi India 17 526 1.9× 68 0.3× 110 0.9× 69 0.7× 31 0.5× 96 954
Erik E. Stone United States 16 643 2.3× 741 2.8× 408 3.4× 127 1.3× 39 0.6× 27 1.3k
Kamen Ivanov China 14 284 1.0× 102 0.4× 46 0.4× 64 0.7× 24 0.4× 35 492

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
1.
Schuldhaus, Dominik, et al.. (2021). From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning. Sensors. 21(9). 3071–3071. 31 indexed citations
2.
Schuldhaus, Dominik. (2019). Human Activity Recognition in Daily Life and Sports Using Inertial Sensors. OPUS Repository (Kooperativer Bibliotheksverbund Berlin-Brandenburg). 5 indexed citations
3.
Gradl, Stefan, et al.. (2018). Movement Speed Estimation Based on Foot Acceleration Patterns. PubMed. 16. 3505–3508. 4 indexed citations
4.
Martindale, Christine F., Markus Wirth, Stefan Schneegaß, et al.. (2016). Workshop on wearables for sports. 877–880. 6 indexed citations
5.
Schuldhaus, Dominik, et al.. (2016). Your personal movie producer. 30. 80–83. 8 indexed citations
6.
Barth, Jens, Cristian Pasluosta, Samuel Schülein, et al.. (2015). Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data. Sensors. 15(3). 6419–6440. 153 indexed citations
7.
Dorschky, Eva, et al.. (2015). A framework for early event detection for wearable systems. 109–112. 8 indexed citations
8.
Blank, Peter de, et al.. (2015). Sensor-based stroke detection and stroke type classification in table tennis. 93–100. 68 indexed citations
9.
Blank, Peter de, Patrick Kugler, Dominik Schuldhaus, & Bjoern M. Eskofier. (2014). A Data Collection and Communication Module for Telemedicine and mHealth Systems. 1 indexed citations
10.
Schuldhaus, Dominik, Heike Leutheuser, & Bjoern M. Eskofier. (2014). Towards Big Data for Activity Recognition: A Novel Database Fusion Strategy. 13 indexed citations
11.
Richer, Robert, Peter de Blank, Dominik Schuldhaus, & Bjoern M. Eskofier. (2014). Real-Time ECG and EMG Analysis for Biking Using Android-Based Mobile Devices. 104–108. 17 indexed citations
12.
Leutheuser, Heike, et al.. (2014). Performance Comparison of Two Step Segmentation Algorithms Using Different Step Activities. 143–148. 11 indexed citations
13.
Schuldhaus, Dominik, Heike Leutheuser, & Bjoern M. Eskofier. (2013). Classification of Daily Life Activities by Decision Level Fusion of Inertial Sensor Data. 11 indexed citations
14.
Barth, Jens, Patrick Kugler, Dominik Schuldhaus, et al.. (2013). Subsequence dynamic time warping as a method for robust step segmentation using gyroscope signals of daily life activities. PubMed. 2013. 6744–6747. 34 indexed citations
15.
Leutheuser, Heike, Dominik Schuldhaus, & Bjoern M. Eskofier. (2013). Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset. PLoS ONE. 8(10). e75196–e75196. 153 indexed citations
16.
Kugler, Patrick, Samuel Reinfelder, Ulf Jensen, et al.. (2013). Estimation of the Knee Flexion-Extension Angle During Dynamic Sport Motions Using Body-worn Inertial Sensors. 38 indexed citations
17.
Schuldhaus, Dominik, et al.. (2012). Classification of Surfaces and Inclinations During Outdoor Running Using Shoe-Mounted Inertial Sensors. 8 indexed citations
18.
Schuldhaus, Dominik, Heike Leutheuser, & Bjoern M. Eskofier. (2012). Automatic Classification of Sport Exercises for Training Support. 1 indexed citations
19.
Schuldhaus, Dominik, Martin Spiegel, Thomas Redel, et al.. (2011). Classification-based summation of cerebral digital subtraction angiography series for image post-processing algorithms. Physics in Medicine and Biology. 56(6). 1791–1802. 8 indexed citations
20.
Rohkohl, Christopher, et al.. (2011). 4D motion animation of coronary arteries from rotational angiography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7964. 79641S–79641S. 1 indexed citations

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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