Lars Schwickert

19 papers receiving 635 citations

Lars Schwickert's Hit Papers

Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device 2024 · 51 citations
510+1Years since publication1020304050

Peers

Lars Schwickert
Comparison fields: 5 of 65
  • Physical Therapy, Sports Therapy and Rehabilitation 254
  • Psychiatry and Mental health 90
  • Computer Vision and Pattern Recognition 116
  • Neurology 73
  • Rehabilitation 29
Replace M. Encarna Micó-Amigo with:
M. Encarna Micó-Amigo United Kingdom
Arash Atrsaei Switzerland
Martin Ullrich Germany
Arne Mueller Switzerland
Aodhán Hickey United Kingdom
Marco Caruso Italy
Stéphane Buffat France
Rana Zia Ur Rehman United Kingdom
Stefano Bertuletti Italy
Emily Hume United Kingdom
Lars Schwickert relative to M. Encarna Micó-Amigo United Kingdom M. Encarna Micó-Amigo's profile →
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M. Encarna Micó-Amigo · 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

20 of 20 papers shown
#Work
1 201679
2 202378
3 202178
4 202171
5 202255
6
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
Hit paper breakdown →
202451
7 202349
8 202336
9 202035
10 202423
11 201919
12 201319
13 202214
14 202212
15 201710
16 20236
17 20213
18 20213
19 20253
20 20250

About Lars Schwickert

Lars Schwickert is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Psychiatry and Mental health, Endocrinology, Diabetes and Metabolism, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 20 papers that have together received 644 indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (16 papers), Cerebral Palsy and Movement Disorders (6 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Gait Recognition and Analysis (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Chronic Disease Management Strategies (1 paper) and Optical Imaging and Spectroscopy Techniques (1 paper). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (254 citations), Psychiatry and Mental health (90 citations), Computer Vision and Pattern Recognition (116 citations), Neurology (73 citations) and Rehabilitation (29 citations). Lars Schwickert has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Clemens Becker, Walter Maetzler, Jochen Klenk, Lorenzo Chiari, Kamiar Aminian, Jorunn L. Helbostad, Karin Srulijes, Chris Todd, Matthis Synofzik and Wiebren Zijlstra. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, BMJ Open, Journal of NeuroEngineering and Rehabilitation, PLoS ONE and Digital Health.

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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