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Paul J. Rullkoetter

Paul J. Rullkoetter

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
40
Citations
5012
World Ranking
2069
National Ranking
767

Overview

Paul J. Rullkoetter is affiliated with the University of Denver in the United States and has contributed extensively to the fields of medicine and engineering, with a focus on surgery and biomedical engineering. Their research encompasses a wide range of topics related to orthopedics, biomechanics, and arthroplasty.

The primary fields of study for Paul J. Rullkoetter include:

  • Medicine
  • Engineering

In terms of subfields, their work is concentrated in:

  • Surgery
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Endocrinology, Diabetes and Metabolism
  • Orthopedics and Sports Medicine

The main research topics Paul J. Rullkoetter has explored are:

  • Total Knee Arthroplasty Outcomes
  • Orthopaedic implants and arthroplasty
  • Orthopedic Infections and Treatments
  • Lower Extremity Biomechanics and Pathologies
  • Knee injuries and reconstruction techniques
  • Muscle activation and electromyography studies
  • Hip disorders and treatments

Paul J. Rullkoetter has published in several academic venues, with the most frequent publication outlets including:

  • Journal of Biomechanics
  • Journal of Orthopaedic Research®
  • Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials
  • Frontiers in Bioengineering and Biotechnology
  • Computers in Biology and Medicine

Frequent collaborators in Paul J. Rullkoetter's research include:

  • Casey A. Myers
  • Chadd W. Clary
  • Kevin B. Shelburne
  • William Burton
  • Huizhou Yang

Some recent papers authored by or involving Paul J. Rullkoetter are:

  • Machine learning for rapid estimation of lower extremity muscle and joint loading during activities of daily living (2021, Journal of Biomechanics)
  • Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks (2020, Computer Methods and Programs in Biomedicine)
  • Joint Track Machine Learning: An Autonomous Method of Measuring Total Knee Arthroplasty Kinematics From Single-Plane X-Ray Images (2023, The Journal of Arthroplasty)
  • Validation and sensitivity of model-predicted proximal tibial displacement and tray micromotion in cementless total knee arthroplasty under physiological loading conditions (2020, Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials)
  • Supine leg press as an alternative to standing lunge in high-speed stereo radiography (2022, Journal of Biomechanics)

Best Publications

  • Explicit finite element modeling of total knee replacement mechanics

    Jason P. Halloran;Anthony J. Petrella;Paul J. Rullkoetter

  • The effect of valgus/varus malalignment on load distribution in total knee replacements

    Frederick W. Werner;David C. Ayers;Lorin P. Maletsky;Paul J. Rullkoetter

  • Dynamic finite element knee simulation for evaluation of knee replacement mechanics.

    Mark A. Baldwin;Chadd W. Clary;Chadd W. Clary;Clare K. Fitzpatrick;James S. Deacy

  • Comparison of long-term numerical and experimental total knee replacement wear during simulated gait loading.

    Lucy A. Knight;Saikat Pal;John C. Coleman;Fred Bronson

  • Development of subject-specific and statistical shape models of the knee using an efficient segmentation and mesh-morphing approach

    Mark A. Baldwin;Joseph E. Langenderfer;Paul J. Rullkoetter;Peter J. Laz

  • The influence of total knee arthroplasty geometry on mid-flexion stability: an experimental and finite element study.

    Chadd W. Clary;Chadd W. Clary;Clare K. Fitzpatrick;Lorin P. Maletsky;Paul J. Rullkoetter

  • Comparison of Deformable and Elastic Foundation Finite Element Simulations for Predicting Knee Replacement Mechanics

    Jason P. Halloran;Sarah K. Easley;Anthony J. Petrella;Paul J. Rullkoetter

  • Finite element simulation of early creep and wear in total hip arthroplasty.

    Scott L. Bevill;Grant R. Bevill;Janaki R. Penmetsa;Anthony J. Petrella

  • Finite element-based probabilistic analysis tool for orthopaedic applications

    Sarah K. Easley;Saikat Pal;Paul R. Tomaszewski;Anthony J. Petrella

  • Verification of predicted specimen-specific natural and implanted patellofemoral kinematics during simulated deep knee bend

    Mark A. Baldwin;Chadd Clary;Lorin P. Maletsky;Paul J. Rullkoetter

  • Development of a statistical shape model of the patellofemoral joint for investigating relationships between shape and function.

    Clare K. Fitzpatrick;Mark A. Baldwin;Peter J. Laz;David P. FitzPatrick

  • A statistical finite element model of the knee accounting for shape and alignment variability

    Chandreshwar Rao;Clare K. Fitzpatrick;Paul J. Rullkoetter;Lorin P. Maletsky

  • Verification of predicted knee replacement kinematics during simulated gait in the Kansas knee simulator

    Jason P. Halloran;Chadd W. Clary;Lorin P. Maletsky;Mark Taylor

  • Specimen-specific modeling of hip fracture pattern and repair

    Azhar A. Ali;Luca Cristofolini;Enrico Schileo;Haixiang Hu

  • Incorporating uncertainty in mechanical properties for finite element-based evaluation of bone mechanics

    Peter J. Laz;Joshua Q. Stowe;Mark A. Baldwin;Anthony J. Petrella

  • The role of patient, surgical, and implant design variation in total knee replacement performance

    Clare K. Fitzpatrick;Chadd W. Clary;Paul J. Rullkoetter

  • Probabilistic computational modeling of total knee replacement wear

    Saikat Pal;Hani Haider;Peter J. Laz;Lucy A. Knight

  • Computational analysis of factors contributing to patellar dislocation.

    Clare K. Fitzpatrick;Robert N. Steensen;Aruna Tumuluri;Thai Trinh

  • Validation of predicted patellofemoral mechanics in a finite element model of the healthy and cruciate-deficient knee.

    Azhar A. Ali;Sami S. Shalhoub;Adam J. Cyr;Clare K. Fitzpatrick

  • Probabilistic finite element prediction of knee wear simulator mechanics.

    Peter J. Laz;Saikat Pal;Jason P. Halloran;Anthony J. Petrella

  • A Combined Experimental and Computational Approach to Subject-Specific Analysis of Knee Joint Laxity.

    Michael D. Harris;Adam J. Cyr;Azhar A. Ali;Clare K. Fitzpatrick

Frequent Co-Authors

Mark Taylor
Mark Taylor Flinders University
Darryl D. D'Lima
Darryl D. D'Lima Scripps Health
Scott A. Banks
Scott A. Banks University of Florida
Richard D. Komistek
Richard D. Komistek University of Tennessee at Knoxville
Richard L. Whitman
Richard L. Whitman United States Geological Survey
Luca Cristofolini
Luca Cristofolini University of Bologna
Fulvia Taddei
Fulvia Taddei Istituto Ortopedico Rizzoli
Mohamed R. Mahfouz
Mohamed R. Mahfouz University of Tennessee at Knoxville

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