Lars Schwickert

17 papers receiving 512 citations

Peers

Lars Schwickert
Comparison fields: 5 of 67
  • Physical Therapy, Sports Therapy and Rehabilitation 228
  • Computer Vision and Pattern Recognition 259
  • Rehabilitation 48
  • Biomedical Engineering 239
  • Psychiatry and Mental health 40
Replace Carlo Tacconi with:
Carlo Tacconi Italy
Kejia Wang Australia
S. Nicolai Germany
Lars Schwickert Germany
C. Becker Germany
Omar Aziz Canada
Mehmet Gövercin Germany
Stefano Bertuletti Italy
Fabio Bagalà Italy
Amandine Dubois France
Lars Schwickert relative to Carlo Tacconi Italy Carlo Tacconi's profile →
Citations per field
00.5×1.5×2×2.4×
Carlo Tacconi · 1×
Citations per year

Countries citing papers authored by Lars Schwickert

Since Specialization
Citations

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

Fields of papers citing papers by Lars Schwickert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2013124
2 201292
3 201773
4 201248
5 201641
6 201740
7 201121
8 201717
9 201514
10 201912
11 201612
12 201611
13 20159
14 20207
15 20205
16 20174
17 20193

About Lars Schwickert

Lars Schwickert is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition, Biomedical Engineering, Rehabilitation and Physiology, having authored 17 papers that have together received 533 indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (8 papers), Context-Aware Activity Recognition Systems (7 papers), Non-Invasive Vital Sign Monitoring (4 papers), Shoulder Injury and Treatment (2 papers), Physical Activity and Health (2 papers), Cerebral Palsy and Movement Disorders (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (228 citations), Computer Vision and Pattern Recognition (259 citations), Rehabilitation (48 citations), Biomedical Engineering (239 citations) and Psychiatry and Mental health (40 citations). Lars Schwickert has collaborated with scholars based in Germany, Norway and Italy. Frequent co-authors include Jochen Klenk, Clemens Becker, Lorenzo Chiari, Sabato Mellone, Jorunn L. Helbostad, Alan Kevin Bourke, Kamiar Aminian, Wiebren Zijlstra, Chris Todd and Ulrich Lindemann. Their work appears in journals such as Sensors, Neurodegenerative Diseases, Trials, Journal of Medical Internet Research and Clinical 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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