Benjamin Long

12 papers receiving 374 citations

Peers

Benjamin Long
Comparison fields: 5 of 83
  • Orthopedics and Sports Medicine 96
  • Physical Therapy, Sports Therapy and Rehabilitation 29
  • Biomedical Engineering 243
  • Rehabilitation 25
  • Cognitive Neuroscience 52
Replace Sonia Duprey with:
Sonia Duprey France
Giada Lullini Italy
Antoine Muller France
Jiann‐Jong Liau Taiwan
Tae‐Kyu Kwon South Korea
Toshiaki Ueno Japan
James Shippen United Kingdom
Bitte S. Healy United States
Dario Cazzola United Kingdom
Herbert M. Reynolds United States
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Citations per year

Countries citing papers authored by Benjamin Long

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2015124
2
Teager-Kaiser Operator improves the accuracy of EMG onset detection independent of signal-to-noise ratio.
200890
3 201147
4 201833
5 201725
6 201719
7 201317
8 201211
9 20128
10 20127
11 20131
12 20101
13 20230
14 20140

About Benjamin Long

Benjamin Long is a scholar working on Orthopedics and Sports Medicine, Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering, Endocrine and Autonomic Systems and Rehabilitation, having authored 14 papers that have together received 383 indexed citations. Recurring topics across this work include Lower Extremity Biomechanics and Pathologies (5 papers), Sports injuries and prevention (4 papers), Sports Performance and Training (3 papers), Traumatic Brain Injury Research (2 papers), Sports Dynamics and Biomechanics (2 papers), Spine and Intervertebral Disc Pathology (1 paper), Surgical Sutures and Adhesives (1 paper) and Anatomy and Medical Technology (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (96 citations), Physical Therapy, Sports Therapy and Rehabilitation (29 citations), Biomedical Engineering (243 citations), Rehabilitation (25 citations) and Cognitive Neuroscience (52 citations). Benjamin Long has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Martín Tanaka, Paul DeVita, Tibor Hortobágyi, Stanisław Solnik, Patrick Rider, Douglas W. Powell, Teresa Conner‐Kerr, Jessica L. Sparks, Nicholas A. Vavalle and Phillip Sanger. Their work appears in journals such as Journal of Applied Biomechanics, Journal of Biomechanics, Human Movement Science, Journal of Orthopaedic and Sports Physical Therapy and Physiological Measurement.

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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