Mark C. Greenwood

Mark C. Greenwood

Montana State University

H-index: 24

North America-United States

About Mark C. Greenwood

Mark C. Greenwood, With an exceptional h-index of 24 and a recent h-index of 18 (since 2020), a distinguished researcher at Montana State University, specializes in the field of Statistics, Functional Data Analysis, Cluster Analysis, Mixed Models.

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

Metabolomic profiling to identify early urinary biomarkers and metabolic pathway alterations in autosomal dominant polycystic kidney disease

Algorithms and mathematics education a response and review of hannah fry’s hello world: Being human in the age of algorithms

Molecular models of multiple sclerosis severity identify heterogeneity of pathogenic mechanisms

Identifying Hydrologic Regimes and Drivers in Nova Scotia, Canada: Catchment Classification Efforts for a Data-Limited Region

Estimating differences in risk of chronic kidney disease based on water intake in a national sample

Systematic review on effects of bioenergy from edible versus inedible feedstocks on food security

Does Elevated [CO2] Only Increase Root Growth in the Topsoil? A FACE Study with Lentil in a Semi-Arid Environment

Biomarkers for diagnosis and management of neuro-immunological diseases

Mark C. Greenwood Information

University

Position

Professor of Statistics

Citations(all)

1945

Citations(since 2020)

1205

Cited By

1220

hIndex(all)

24

hIndex(since 2020)

18

i10Index(all)

33

i10Index(since 2020)

25

Email

University Profile Page

Montana State University

Google Scholar

View Google Scholar Profile

Mark C. Greenwood Skills & Research Interests

Statistics

Functional Data Analysis

Cluster Analysis

Mixed Models

Top articles of Mark C. Greenwood

Title

Journal

Author(s)

Publication Date

Metabolomic profiling to identify early urinary biomarkers and metabolic pathway alterations in autosomal dominant polycystic kidney disease

American Journal of Physiology-Renal Physiology

Eden A Houske

Matthew G Glimm

Annika R Bergstrom

Sally K Slipher

Hope D Welhaven

...

2023/6/1

Algorithms and mathematics education a response and review of hannah fry’s hello world: Being human in the age of algorithms

The Mathematics Enthusiast

Joshua T Hertel

2023

Molecular models of multiple sclerosis severity identify heterogeneity of pathogenic mechanisms

Nature Communications

Peter Kosa

Christopher Barbour

Mihael Varosanec

Alison Wichman

Mary Sandford

...

2022/12/12

Identifying Hydrologic Regimes and Drivers in Nova Scotia, Canada: Catchment Classification Efforts for a Data-Limited Region

Journal of Hydrologic Engineering

Lindsay H Johnston

Dewey W Dunnington

Mark C Greenwood

Barret L Kurylyk

Rob C Jamieson

2022/11/1

Estimating differences in risk of chronic kidney disease based on water intake in a national sample

David Lartey

Mark Greenwood

Greta Linse

Sally Moyce

Cynthia Curl

...

2022/2/28

Systematic review on effects of bioenergy from edible versus inedible feedstocks on food security

Selena Ahmed

Teresa Warne

Erin Smith

Hannah Goemann

Greta Linse

...

2021/5/4

Does Elevated [CO2] Only Increase Root Growth in the Topsoil? A FACE Study with Lentil in a Semi-Arid Environment

Plants

Maryse Bourgault

Sabine Tausz-Posch

Mark Greenwood

Markus Löw

Samuel Henty

...

2021/3/24

Biomarkers for diagnosis and management of neuro-immunological diseases

2020/12/29

Are Scientific Models of Life Testable? A Lesson from Simpson’s Paradox

Sci

Prasanta S Bandyopadhyay

Nolan Grunska

Don Dcruz

Mark C Greenwood

2020/12/22

Hydrologic assessment of a small maritime hydrometric monitoring network using a combined inductive-deductive process-informed catchment classification system

EGU General Assembly Conference Abstracts

Lindsay Johnston

Dewey Dunnington

Mark Greenwood

Barret Kurylyk

Rob Jamieson

2020/5

See List of Professors in Mark C. Greenwood University(Montana State University)