Paul Newton

Paul Newton

University of Southern California

H-index: 32

North America-United States

About Paul Newton

Paul Newton, With an exceptional h-index of 32 and a recent h-index of 19 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Mathematical oncology, evolutionary game theory, nonlinear dynamics, applied math, Euler and Navier-Stokes equations.

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

Comparative analysis of the spatial distribution of brain metastases across several primary cancers using machine learning and deep learning models

Bernstein polynomial approximation of fixation probability in finite population evolutionary games

Stochastic competitive release and adaptive chemotherapy

COVID-19 vaccine incentive scheduling using an optimally controlled reinforcement learning model

Anatomical and topographical variations in the distribution of brain metastases based on primary cancer origin and molecular subtypes: a systematic review

A quantitative characterization of the spatial distribution of brain metastases from breast cancer and respective molecular subtypes

Optimal dynamic incentive scheduling for Hawk-Dove evolutionary games

Maximizing cooperation in the prisoner's dilemma evolutionary game via optimal control

Paul Newton Information

University

Position

Professor of Engineering and Applied Mathematics

Citations(all)

3991

Citations(since 2020)

1471

Cited By

5291

hIndex(all)

32

hIndex(since 2020)

19

i10Index(all)

75

i10Index(since 2020)

33

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

Paul Newton Skills & Research Interests

Mathematical oncology

evolutionary game theory

nonlinear dynamics

applied math

Euler and Navier-Stokes equations

Top articles of Paul Newton

Title

Journal

Author(s)

Publication Date

Comparative analysis of the spatial distribution of brain metastases across several primary cancers using machine learning and deep learning models

Journal of Neuro-Oncology

Saeedeh Mahmoodifar

Dhiraj J Pangal

Josh Neman

Gabriel Zada

Jeremy Mason

...

2024/4/2

Bernstein polynomial approximation of fixation probability in finite population evolutionary games

Dynamic Games and Applications

Jiyeon Park

Paul K Newton

2023/6/24

Stochastic competitive release and adaptive chemotherapy

Physical Review E

J Park

PK Newton

2023/9/13

COVID-19 vaccine incentive scheduling using an optimally controlled reinforcement learning model

Physica D: Nonlinear Phenomena

Kristina Stuckey

PK Newton

2023/3/1

Anatomical and topographical variations in the distribution of brain metastases based on primary cancer origin and molecular subtypes: a systematic review

Tyler Cardinal

Dhiraj Pangal

Ben A Strickland

Paul Newton

Saeedeh Mahmoodifar

...

2022/1/1

A quantitative characterization of the spatial distribution of brain metastases from breast cancer and respective molecular subtypes

Journal of Neuro-oncology

Saeedeh Mahmoodifar

Dhiraj J Pangal

Tyler Cardinal

David Craig

Thomas Simon

...

2022/10

Optimal dynamic incentive scheduling for Hawk-Dove evolutionary games

Physical Review E

K Stuckey

R Dua

Y Ma

J Parker

PK Newton

2022/1/21

Maximizing cooperation in the prisoner's dilemma evolutionary game via optimal control

Physical Review E

PK Newton

Y Ma

2021/1/13

Are adaptive chemotherapy schedules robust? A three-strategy stochastic evolutionary game theory model

Cancers

Rajvir Dua

Yongqian Ma

Paul K Newton

2021/6/9

Role of synergy and antagonism in designing multidrug adaptive chemotherapy schedules

Physical Review E

Y Ma

PK Newton

2021/3/22

Prediction of metastatic patterns in bladder cancer: Spatiotemporal progression and development of a novel, web-based platform for clinical utility

European Urology Open Science

Jeremy Mason

Zaki Hasnain

Gus Miranda

Karanvir Gill

Hooman Djaladat

...

2021/10/1

On levitation by blowing

American Journal of Physics

Paul K Newton

Y Ma

2021/2/1

The role of synergy and antagonism in designing multidrug adaptive chemotherapy schedules

bioRxiv

PK Newton

Y Ma

2020/5/15

Use of wearable activity tracker in patients with cancer undergoing chemotherapy: toward evaluating risk of unplanned health care encounters

JCO Clinical Cancer Informatics

Tanachat Nilanon

Luciano P Nocera

Alexander S Martin

Anand Kolatkar

Marcella May

...

2020/9

OrgDyn: feature-and model-based characterization of spatial and temporal organoid dynamics

Bioinformatics

Zaki Hasnain

Andrew K Fraser

Dan Georgess

Alex Choi

Paul Macklin

...

2020/5/15

Quantified kinematics to evaluate patient chemotherapy risks in clinic

JCO Clinical Cancer Informatics

Zaki Hasnain

Tanachat Nilanon

Ming Li

Aaron Mejia

Anand Kolatkar

...

2020/6

Towards multidrug adaptive therapy

Cancer research

Jeffrey West

Li You

Jingsong Zhang

Robert A Gatenby

Joel S Brown

...

2020/4/1

See List of Professors in Paul Newton University(University of Southern California)

Co-Authors

H-index: 72
Peter Kuhn

Peter Kuhn

University of Southern California

H-index: 55
Eckart Meiburg

Eckart Meiburg

University of California, Santa Barbara

H-index: 40
Jorge Nieva

Jorge Nieva

University of Southern California

H-index: 31
Eva Kanso

Eva Kanso

University of Southern California

H-index: 25
Mark A. Stremler

Mark A. Stremler

Virginia Polytechnic Institute and State University

H-index: 13
Jeremy Mason

Jeremy Mason

University of Southern California

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