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This is a "connection" page, showing publications co-authored by Markus Wimmer and Christopher Ferrigno.
Markus Wimmer
Connection Strength
0.626
Christopher Ferrigno
  1. A machine learning approach using gait parameters to cluster TKA subjects into stable and unstable joints for discovery analysis. Knee. 2025 Jun; 54:167-177.
    View in: PubMed
    Score: 0.223
  2. Ankle Fracture Gait Training Through Musical Feedback: case study. JOSPT Cases. 2025 Feb; 5(1):52-56.
    View in: PubMed
    Score: 0.221
  3. Validity and Reliability of the Insole3 Instrumented Shoe Insole for Ground Reaction Force Measurement during Walking and Running. Sensors (Basel). 2022 Mar 11; 22(6).
    View in: PubMed
    Score: 0.181
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.