Richard Sowers

About Richard Sowers

Richard Sowers, With an exceptional h-index of 19 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of Stochastic processes, Big Data.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson’s Disease for Use in Tele-Assessments

A deep learning approach for grading of motor impairment severity in Parkinson’s disease

Side Boundary potentials for a Kolmogorov-type PDE

Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait

Near-collision dynamics in a noisy car-following model

A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions—A Deep Learning Approach

Body-in-the-Loop Control of Soft Robotic Exoskeletons During Virtual Manual Labor Tasks

Virtual Reality and Movement Disorders

Richard Sowers Information

University

Position

___

Citations(all)

1525

Citations(since 2020)

557

Cited By

1283

hIndex(all)

19

hIndex(since 2020)

13

i10Index(all)

32

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Richard Sowers Skills & Research Interests

Stochastic processes

Big Data

Top articles of Richard Sowers

A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson’s Disease for Use in Tele-Assessments

Sensors

2023/11/6

Rachneet Kaur
Rachneet Kaur

H-Index: 2

Richard Sowers
Richard Sowers

H-Index: 11

A deep learning approach for grading of motor impairment severity in Parkinson’s disease

2023/7/24

Side Boundary potentials for a Kolmogorov-type PDE

arXiv preprint arXiv:2306.16548

2023/6/28

Richard Sowers
Richard Sowers

H-Index: 11

Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait

IEEE Transactions on Biomedical Engineering

2023/1/20

Near-collision dynamics in a noisy car-following model

SIAM Journal on Applied Mathematics

2022/12/31

A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions—A Deep Learning Approach

IEEE Journal of Biomedical and Health Informatics

2022/9/20

Rachneet Kaur
Rachneet Kaur

H-Index: 2

Richard Sowers
Richard Sowers

H-Index: 11

Body-in-the-Loop Control of Soft Robotic Exoskeletons During Virtual Manual Labor Tasks

2022/9/1

Virtual Reality and Movement Disorders

2020/6/30

Robotics in Virtual Reality

Virtual Reality: Recent Advancements, Applications and Challenges

2022/9/1

Feasibility of VR technology in eliciting state anxiety changes while walking in older women

2021/11/1

Approximating the Transition Probability Function Corresponding to the Solution of Stochastic Optimal Velocity Dynamical Model

2021

Designing a closed loop system to achieve real-time evaluation and manipulation of state anxiety while walking in virtual reality

2021/5/4

Siwen Wang
Siwen Wang

H-Index: 10

Richard Sowers
Richard Sowers

H-Index: 11

Seasonal disorder in urban traffic patterns: a low rank analysis

Journal of big data analytics in transportation

2021/4

Machine learning and price-based load scheduling for an optimal IoT control in the smart and frugal home

Energy and AI

2021/3/1

Trading networks and Hodge theory∗

Journal of Physics Communications

2021/1/29

Richard Sowers
Richard Sowers

H-Index: 11

Rui Song
Rui Song

H-Index: 18

Topological analysis of traffic pace via persistent homology

Journal of Physics: Complexity

2021/1/29

Predicting multiple sclerosis from gait dynamics using an instrumented treadmill: A machine learning approach

IEEE Transactions on Biomedical Engineering

2020/12/30

Exploration of machine learning to identify community dwelling older adults with balance dysfunction using short duration accelerometer data

2020/7/20

Automatic identification of brain independent components in electroencephalography data collected while standing in a virtually immersive environment-A Deep Learning-Based approach

2020/7/20

Rachneet Kaur
Rachneet Kaur

H-Index: 2

Richard Sowers
Richard Sowers

H-Index: 11

Nonlinear optimal velocity car following dynamics (ii): Rate of convergence in the presence of fast perturbation

Nonlinear Optimal Velocity Car Following Dynamics (II): Rate of Convergence In the Presence of Fast Perturbation

2020/7

See List of Professors in Richard Sowers University(University of Illinois at Urbana-Champaign)

Co-Authors

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