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John Rasmussen

John Rasmussen

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
7585
World Ranking
8884
National Ranking
98

Overview

John Rasmussen is affiliated with Aalborg University in Denmark. Their research spans multiple disciplines, primarily within medicine, engineering, and physics and astronomy. The main focus of their work lies in areas such as biomedical engineering, surgery, and nuclear and high energy physics, with additional engagement in orthopedics and sports medicine as well as rheumatology.

The scientist has contributed to several specialized topics including:

  • Muscle activation and electromyography studies
  • Nuclear physics research studies
  • Scoliosis diagnosis and treatment
  • Prosthetics and rehabilitation robotics
  • Osteoarthritis treatment and mechanisms
  • Lower extremity biomechanics and pathologies
  • Sports performance and training

John Rasmussen has published research in various scientific venues related to their fields. Frequent publication outlets include:

  • Physical Review C
  • Sensors
  • Orthopaedic Proceedings
  • Journal of Orthopaedic Research®
  • Computers in Biology and Medicine

Several co-authors have collaborated extensively with Rasmussen, among them are:

  • Hafez A. Radi
  • Ole Rahbek
  • Søren Kold
  • E. H. Wang
  • Michael Skipper Andersen

Some recent research publications by John Rasmussen include:

  • Biomechanical Analysis of Stoop and Free-Style Squat Lifting and Lowering with a Generic Back-Support Exoskeleton Model (2022) published in International Journal of Environmental Research and Public Health
  • Criterion Validity of Linear Accelerations Measured with Low-Sampling-Frequency Accelerometers during Overground Walking in Elderly Patients with Knee Osteoarthritis (2022) published in Sensors
  • The effects of bone remodeling on biomechanical behavior in a patient with an implant-supported overdenture (2020) published in Computers in Biology and Medicine
  • How Precisely Can Easily Accessible Variables Predict Achilles and Patellar Tendon Forces during Running? (2021) published in Sensors
  • Chiral vibrations and collective bands in Mo 104, 106 (2021) published in Physical Review C

Their work in these publications addresses biomechanical modeling, measurement accuracy in accelerometry for clinical applications, and investigations in nuclear physics, reflecting the intersection of engineering and medical disciplines in their research portfolio.

Best Publications

  • Analysis of Musculoskeletal Systems in the AnyBody Modeling System

    Michael Damsgaard;John Rasmussen;Søren Tørholm Christensen;Egidijus Surma

  • Muscle recruitment by the min/max criterion — a comparative numerical study

    John Rasmussen;Michael Damsgaard;Michael Voigt

  • A generic detailed rigid-body lumbar spine model

    Mark de Zee;Lone Hansen;Christian Wong;John Rasmussen

  • On CAD-integrated structural topology and design optimization

    Niels Olhoff;Martin P. Bendsøe;John Rasmussen

  • A Subject-Specific Musculoskeletal Modeling Framework to Predict In Vivo Mechanics of Total Knee Arthroplasty

    Marco A. Marra;Valentine Vanheule;René Fluit;Bart H. F. J. M. Koopman

  • Anatomy and biomechanics of the back muscles in the lumbar spine with reference to biomechanical modeling.

    Lone Hansen;Mark de Zee;John Rasmussen;Thomas B. Andersen

  • A computationally efficient optimisation-based method for parameter identification of kinematically determinate and over-determinate biomechanical systems

    Michael Skipper Andersen;Michael Damsgaard;Bruce Mac-Williams;John Rasmussen

  • Kinematic analysis of over-determinate biomechanical systems.

    Michael Skipper Andersen;Michael Damsgaard;John Rasmussen

  • Scaling of musculoskeletal models from static and dynamic trials

    Morten Enemark Lund;Michael Skipper Andersen;Mark de Zee;John Rasmussen

  • Do kinematic models reduce the effects of soft tissue artefacts in skin marker-based motion analysis? An in vivo study of knee kinematics.

    Michael Skipper Andersen;D.L. Benoit;Michael Damsgaard;Dan K. Ramsey

  • A Method of “Exact” Numerical Differentiation for Error Elimination in Finite-Element-Based Semi-Analytical Shape Sensitivity Analyses*

    Niels Olhoff;John Rasmussen;Erik Lund

  • On validation of multibody musculoskeletal models.

    Morten Enemark Lund;Mark de Zee;Michael Skipper Andersen;John Rasmussen

  • An integrated approach for shape and topology optimization of shell structures

    Rubén Ansola;Javier Canales;José A. Tárrago;John Rasmussen

  • Computational analysis of the influence of seat pan inclination and friction on muscle activity and spinal joint forces.

    John Rasmussen;Søren Tørholm;Mark de Zee

  • Validation of a musculoskeletal model of wheelchair propulsion and its application to minimizing shoulder joint forces

    Sarah R. Dubowsky;John Rasmussen;Sue Ann Sisto;Noshir A. Langrana

  • On Accuracy Problems for Semi-Analytical Sensitivity Analyses

    Pauli Pedersen;Gengdong Cheng;John Rasmussen

  • AnyBody - a software system for ergonomic optimization

    John Rasmussen;Michael Damsgaard;Egedijus Surma;Søren Tørholm Christensen

  • Uniaxial cyclic strain drives assembly and differentiation of skeletal myocytes.

    Cristian Pablo Pennisi;Christian Gammelgaard Olesen;Mark de Zee;John Rasmussen

  • Study of inaccuracy in semi-analytical sensitivity analysis — a model problem

    N. Olhoff;J. Rasmussen

  • Introduction to Force-Dependent Kinematics: Theory and Application to Mandible Modeling

    Michael Skipper Andersen;Mark de Zee;Michael Damsgaard;Daniel Nolte

Frequent Co-Authors

Niels Olhoff
Niels Olhoff Aalborg University
W. A. Zajc
W. A. Zajc Columbia University
Nico Verdonschot
Nico Verdonschot Radboud University
Martin P. Bendsøe
Martin P. Bendsøe Technical University of Denmark
Dario Farina
Dario Farina Imperial College London
Peter Augat
Peter Augat Paracelsus Medical University
Peter Ring
Peter Ring Technical University of Munich
Rasmus Waagepetersen
Rasmus Waagepetersen Aalborg University
George F. Bertsch
George F. Bertsch University of Washington
Paulo Flores
Paulo Flores University of Minho

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