Jens Barth

24 papers receiving 1.2k citations

Jens Barth's Hit Papers

Wearable sensors objectively measure gait parameters in Parkinson’s disease 2017 · 248 citations
2480+3+6Years since publication50100150200

Peers

Jens Barth
Comparison fields: 5 of 86
  • Physical Therapy, Sports Therapy and Rehabilitation 596
  • Neurology 402
  • Psychiatry and Mental health 252
  • Biomedical Engineering 550
  • Endocrinology, Diabetes and Metabolism 206
Replace Heiko Gaßner with:
Heiko Gaßner Germany
Clint Hansen Germany
H. Russmann Switzerland
Alberto Ferrari Italy
Mahmoud El‐Gohary United States
Luca Palmerini Italy
Y. Blanc Switzerland
Benoît Mariani Switzerland
Patrick Kugler Germany
Elke Warmerdam Germany
Jens Barth relative to Heiko Gaßner Germany Heiko Gaßner's profile →
Citations per field
00.5×1.5×2.3×
Heiko Gaßner · 1×
Citations per year

Countries citing papers authored by Jens Barth

Since Specialization
Citations

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

Fields of papers citing papers by Jens Barth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Wearable sensors objectively measure gait parameters in Parkinson’s disease
Hit paper breakdown →
2017248
2 2014243
3 2013163
4 2015153
5 2011101
6 201734
7 201334
8 201233
9 201831
10 201531
11 201826
12 202025
13 201520
14 201516
15 202212
16 20117
17 20166
18 20224
19 19843
20 20143

About Jens Barth

Jens Barth is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering, Neurology, Endocrinology, Diabetes and Metabolism and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (14 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Diabetic Foot Ulcer Assessment and Management (6 papers), Muscle activation and electromyography studies (5 papers), Gait Recognition and Analysis (4 papers), Neurological disorders and treatments (4 papers), Cerebral Palsy and Movement Disorders (4 papers) and Handwritten Text Recognition Techniques (3 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (596 citations), Neurology (402 citations), Psychiatry and Mental health (252 citations), Biomedical Engineering (550 citations) and Endocrinology, Diabetes and Metabolism (206 citations). Jens Barth has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Bjoern M. Eskofier, Jochen Klucken, Jürgen Winkler, Patrick Kugler, Heiko Gaßner, Samuel Reinfelder, Johannes C. M. Schlachetzki, Zacharias Kohl, Franz Marxreiter and Joachim Hornegger. Their work appears in journals such as Sensors, PLoS ONE, International Journal on Document Analysis and Recognition (IJDAR), IEEE Transactions on Biomedical Engineering and Clinical and Experimental Dermatology.

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.

Explore authors with similar magnitude of impact