2026 Benjamin J. Fregly: Engineering and Technology Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	54	3146	3014	934	851	200	12446

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Engineering and Technology

3146

3014

934

851

200

12446

Engineering and Technology

D-Index

Citations

12446

World Ranking

3146

National Ranking

934

Overview

Benjamin J. Fregly is affiliated with Rice University in the United States, focusing academically on the fields of Medicine and Engineering. Their work extensively covers subfields such as Biomedical Engineering, Surgery, Cognitive Neuroscience, Rehabilitation, and Physical Therapy, Sports Therapy, and Rehabilitation.

The main topics of research conducted by Benjamin J. Fregly include:

Muscle activation and electromyography studies
Prosthetics and Rehabilitation Robotics
Motor Control and Adaptation
Orthopaedic implants and arthroplasty
Stroke Rehabilitation and Recovery
Balance, Gait, and Falls Prevention
Cerebral Palsy and Movement Disorders

Among recent papers authored or co-authored by Benjamin J. Fregly are:

A Conceptual Blueprint for Making Neuromusculoskeletal Models Clinically Useful, 2021, Applied Sciences
How Well Do Commonly Used Co-contraction Indices Approximate Lower Limb Joint Stiffness Trends During Gait for Individuals Post-stroke?, 2021, Frontiers in Bioengineering and Biotechnology
Are muscle synergies useful for stroke rehabilitation?, 2021, Current Opinion in Biomedical Engineering
Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies, 2020, Frontiers in Computational Neuroscience
EMG-driven musculoskeletal model calibration with estimation of unmeasured muscle excitations via synergy extrapolation, 2022, Frontiers in Bioengineering and Biotechnology

Frequent co-authors who have collaborated with Benjamin J. Fregly include:

Mohammad S. Shourijeh
Carolynn Patten
Di Ao
Ata Babazadeh-Naseri
Valerae O. Lewis

Their work has often been published in venues such as:

Frontiers in Bioengineering and Biotechnology
bioRxiv (Cold Spring Harbor Laboratory)
Medical Engineering & Physics
Applied Sciences
Current Opinion in Biomedical Engineering

Best Publications

Grand Challenge Competition to Predict In Vivo Knee Loads

Benjamin J. Fregly;Thor F. Besier;David Gavin Lloyd;Scott L. Delp

744
Citations
Parallel global optimization with the particle swarm algorithm

J. F. Schutte;Jeffrey A. Reinbolt;B. J. Fregly;R. T. Haftka

535
Citations
Decreased knee adduction moment does not guarantee decreased medial contact force during gait.

Jonathan P. Walter;Darryl D. D'Lima;Clifford W. Colwell;Benjamin J. Fregly

451
Citations
Prosthetic device and system and method for implanting prosthetic device

Binyamin Hajaj;Jason K. Otto;Rony Abovitz;Steven B. Brown

442
Citations
CEINMS: A toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks.

Claudio Pizzolato;David G. Lloyd;Massimo Sartori;Elena Ceseracciu

367
Citations
Design of patient-specific gait modifications for knee osteoarthritis rehabilitation

B.J. Fregly;J.A. Reinbolt;K.L. Rooney;K.H. Mitchell

362
Citations
Evaluation of Direct Collocation Optimal Control Problem Formulations for Solving the Muscle Redundancy Problem

Friedl De Groote;Allison L. Kinney;Anil V. Rao;Benjamin J. Fregly

353
Citations
Multibody dynamic simulation of knee contact mechanics.

Yanhong Bei;Benjamin J. Fregly

341
Citations
A SOLIDIFICATION PROCEDURE TO FACILITATE KINEMATIC ANALYSES BASED ON VIDEO SYSTEM DATA

L. Chèze;B.J. Fregly;J. Dimnet

325
Citations
Subject-specific knee joint geometry improves predictions of medial tibiofemoral contact forces

Pauline Gerus;Massimo Sartori;Thor F. Besier;Benjamin J. Fregly

313
Citations
Determination of patient-specific multi-joint kinematic models through two-level optimization.

Jeffrey A. Reinbolt;Jaco F. Schutte;Benjamin J. Fregly;Byung Il Koh

294
Citations
Parallel asynchronous particle swarm optimization.

Byung-Il Koh;Alan D. George;Raphael T. Haftka;Benjamin J. Fregly

278
Citations
In vivo medial and lateral tibial loads during dynamic and high flexion activities.

Dong Zhao;Scott A. Banks;Darryl D. D'Lima;Clifford W. Colwell

274
Citations
Knee joint forces: prediction, measurement, and significance.

Darryl D D'Lima;Benjamin J Fregly;Shantanu Patil;Nikolai Steklov

256
Citations
The pathophysiology of osteoarthritis: a mechanical perspective on the knee joint

Kevin R. Vincent;Bryan P. Conrad;Benjamin J. Fregly;Heather K. Vincent

253
Citations
Computational wear prediction of a total knee replacement from in vivo kinematics

Benjamin J. Fregly;W.Gregory Sawyer;Melinda K. Harman;Scott A. Banks

248
Citations
Recent trends in assistive technology for mobility.

Rachel E Cowan;Benjamin J Fregly;Michael L Boninger;Leighton Chan

238
Citations
A state-space analysis of mechanical energy generation, absorption, and transfer during pedaling

Benjamin J. Fregly;Felix E. Zajac

228
Citations
Evaluation of predicted knee-joint muscle forces during gait using an instrumented knee implant

Hyung J. Kim;Justin W. Fernandez;Massoud Akbarshahi;Jonathan P. Walter

226
Citations
Dynamic activity dependence of in vivo normal knee kinematics

Taka Aki Moro-Oka;Satoshi Hamai;Hiromasa Miura;Takeshi Shimoto

210
Citations
Parallel Global Optimization with the Particle Swarm Algorithm (Preprint)

J F Schutte;J A Reinbolt;B J Fregly;R T Haftka

2
Citations