Jennifer L. Hicks

Biomedical Engineering · 2015–2023

A researcher in the Science corpus: 7 papers; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jennifer L. Hicks trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Scott L. Delp
  2. Frank C. Anderson
  3. Lena H. Ting
  4. Darryl G. Thelen
  5. Alberto Leardini
  6. Ajay Seth
  7. Andrea d'Avella
  8. Benjamin J. Fregly
  9. J. Macpherson
  10. Samuel Ward

Who trusts Jennifer L. Hicks overall

  1. Peter J. Bishop
  2. Andrew R. Cuff

Papers from Jennifer L. Hicks's perspective

Ordered by how strongly the researchers Jennifer L. Hicks trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Generating dynamic simulations of movement using computed muscle control. (Journal of Biomechanics)
  2. Static and dynamic optimization solutions for gait are practically equivalent. (Journal of Biomechanics)
  3. Human movement analysis using stereophotogrammetry. Part 4: assessment of anatomical landmark misplacement and its effects on joint kinematics. (Gait & Posture)
  4. Contributions of the individual ankle plantar flexors to support, forward progression and swing initiation during walking. (Journal of Biomechanics)
  5. Evaluation of Direct Collocation Optimal Control Problem Formulations for Solving the Muscle Redundancy Problem (Annals of Biomedical Engineering)
  6. Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation (Nature Biomedical Engineering)
  7. A limited set of muscle synergies for force control during a postural task. (Journal of Neurophysiology)
  8. Subject-specific muscle synergies in human balance control are consistent across different biomechanical contexts. (Journal of Neurophysiology)
  9. OpenSim: a musculoskeletal modeling and simulation framework for in silico investigations and exchange (Procedia IUTAM)
  10. Combinations of muscle synergies in the construction of a natural motor behavior

Their papers