J. Feikes

446 citations
9 papers · 373 · h-index 5

Impact in

  • Surgery top 10%
    • Total Knee Arthroplasty Outcomes
    • Knee injuries and reconstruction techniques
    • Orthopaedic implants and arthroplasty
    • Shoulder Injury and Treatment

Papers in

    • Knee injuries and reconstruction techniques 7
    • Total Knee Arthroplasty Outcomes 6
    • Shoulder Injury and Treatment 3
    • Lower Extremity Biomechanics and Pathologies 3
    • Muscle activation and electromyography studies 1

J. Feikes

9 papers receiving 353 citations

Peers

J. Feikes
Comparison fields: 5 of 35
  • Surgery 275
  • Orthopedics and Sports Medicine 46
  • Biomedical Engineering 185
  • Physical Therapy, Sports Therapy and Rehabilitation 8
  • Rheumatology 24
Replace Michele Conconi with:
Michele Conconi Italy
DE Beverland United Kingdom
Kotaro Sasaki Japan
F. Lavaste France
Robb Colbrunn United States
Maren Freutel Germany
Mohammad Kia United States
Arin M. Ellingson United States
Massoud Akbarshahi Australia
J.S. Rovick United States
J. Feikes relative to Michele Conconi Italy Michele Conconi's profile →
Citations per field
00.5×1.5×2.4×
Michele Conconi · 1×
Citations per year

Countries citing papers authored by J. Feikes

Since Specialization
Citations

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

Fields of papers citing papers by J. Feikes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside J. Feikes, 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 J. Feikes Line = papers co-authored together J. Feikes links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown

About J. Feikes

J. Feikes is a scholar working on Surgery, Biomedical Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Orthopedics and Sports Medicine, having authored 9 papers that have together received 373 indexed citations. Recurring topics across this work include Knee injuries and reconstruction techniques (7 papers), Total Knee Arthroplasty Outcomes (6 papers), Shoulder Injury and Treatment (3 papers), Lower Extremity Biomechanics and Pathologies (3 papers), Hand Gesture Recognition Systems (1 paper), Muscle activation and electromyography studies (1 paper), Gear and Bearing Dynamics Analysis (1 paper) and Mechanical Engineering and Vibrations Research (1 paper). The work is most often cited by research in Surgery (275 citations), Orthopedics and Sports Medicine (46 citations), Biomedical Engineering (185 citations), Physical Therapy, Sports Therapy and Rehabilitation (8 citations) and Rheumatology (24 citations). J. Feikes has collaborated with scholars based in United Kingdom. Frequent co-authors include David R. Wilson, John O’Connor, Amy B. Zavatsky, Alberto Leardini, David W. Murray, A. E. Weale, John Goodfellow, D. Prothero, H.S. Gill and JJ O'Connor. Their work appears in journals such as Journal of Biomechanics, Computer Methods in Biomechanics & Biomedical Engineering, The Journal of Arthroplasty and Journal of Clinical Medicine.

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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