Daniel Ludvig

50 papers receiving 486 citations

Peers

Daniel Ludvig
Comparison fields: 5 of 58
  • Physical Therapy, Sports Therapy and Rehabilitation 89
  • Orthopedics and Sports Medicine 72
  • Cognitive Neuroscience 141
  • Rehabilitation 40
  • Biomedical Engineering 292
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Nancy St-Onge Canada
Mohammad S. Shourijeh United States
Marko Ackermann Brazil
Francesco Palazzo Italy
Torrence D. J. Welch United States
Katherine R. Saul United States
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Morten Enemark Lund Denmark
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Citations per year

Countries citing papers authored by Daniel Ludvig

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ludvig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201149
2 200734
3 201234
4 202031
5 200726
6 201725
7 202424
8 201421
9 201419
10 201418
11 201916
12 202014
13 202211
14 202210
15 20119
16 20228
17 20198
18 20198
19 20218
20 20237

About Daniel Ludvig

Daniel Ludvig is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Orthopedics and Sports Medicine, Surgery and Physical Therapy, Sports Therapy and Rehabilitation, having authored 53 papers that have together received 490 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (31 papers), Motor Control and Adaptation (22 papers), Balance, Gait, and Falls Prevention (8 papers), Shoulder Injury and Treatment (7 papers), Musculoskeletal pain and rehabilitation (7 papers), Control Systems and Identification (6 papers), Structural Health Monitoring Techniques (6 papers) and Tactile and Sensory Interactions (5 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (89 citations), Orthopedics and Sports Medicine (72 citations), Cognitive Neuroscience (141 citations), Rehabilitation (40 citations) and Biomedical Engineering (292 citations). Daniel Ludvig has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Eric J. Perreault, Robert E. Kearney, Christian Larivière, Ian Cathers, Richard Preuss, Rajeswari Pichika, Levi J. Hargrove, David B. Lipps, Hakim Mecheri and Sangjoon J. Kim. Their work appears in journals such as Journal of Biomechanics, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Annals of Biomedical Engineering and Experimental Brain Research.

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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