John Fieberg

John Fieberg

University of Minnesota-Twin Cities

H-index: 45

North America-United States

About John Fieberg

John Fieberg, With an exceptional h-index of 45 and a recent h-index of 34 (since 2020), a distinguished researcher at University of Minnesota-Twin Cities, specializes in the field of ecology, conservation biology, wildlife, biometrics.

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

Step selection analysis with non-linear and random effects in mgcv

Statistics for Ecologists: A Frequentist and Bayesian Treatment of Modern Regression Models.

Understanding step selection analysis through numerical integration

Simulating animal space use from fitted integrated Step‐Selection Functions (iSSF)

R Code and Output Supporting: Modeling individual variability in habitat selection and movement using integrated step-selection analyses

A within-lake occupancy model for starry stonewort, Nitellopsis obtusa, to support early detection and monitoring

Methods for implementing integrated step-selection functions with incomplete data

Modeling individual variability in habitat selection and movement

John Fieberg Information

University

Position

___

Citations(all)

9007

Citations(since 2020)

4588

Cited By

6121

hIndex(all)

45

hIndex(since 2020)

34

i10Index(all)

91

i10Index(since 2020)

74

Email

University Profile Page

University of Minnesota-Twin Cities

Google Scholar

View Google Scholar Profile

John Fieberg Skills & Research Interests

ecology

conservation biology

wildlife

biometrics

Top articles of John Fieberg

Title

Journal

Author(s)

Publication Date

Step selection analysis with non-linear and random effects in mgcv

bioRxiv

Natasha Klappstein

Théo Michelot

John Fieberg

Eric Pedersen

Chris Field

...

2024/1/5

Statistics for Ecologists: A Frequentist and Bayesian Treatment of Modern Regression Models.

John Fieberg

2024

Understanding step selection analysis through numerical integration

Théo Michelot

Natasha J Klappstein

Jonathan R Potts

John Fieberg

2024/1

Simulating animal space use from fitted integrated Step‐Selection Functions (iSSF)

Methods in Ecology and Evolution

Johannes Signer

John Fieberg

Bjoern Reineking

Ulrike Schlaegel

B Smith

...

2024/1

R Code and Output Supporting: Modeling individual variability in habitat selection and movement using integrated step-selection analyses

Nilanjan Chatterjee

David Wolfson

Dongmin Kim

Juliana Velez

Smith Freeman

...

2024/3/11

A within-lake occupancy model for starry stonewort, Nitellopsis obtusa, to support early detection and monitoring

Scientific Reports

Alex W Bajcz

Wesley J Glisson

Jeffrey W Doser

Daniel J Larkin

John R Fieberg

2024/2/1

Methods for implementing integrated step-selection functions with incomplete data

bioRxiv

David D Hofmann

Gabriele Cozzi

John Fieberg

2023

Modeling individual variability in habitat selection and movement

Methods in Ecology and Evolution

Nilanjan Chatterjee

David Wolfson

Dongmin Kim

Juliana Velez

Smith Freeman

...

2023

R code associated with Methods for Implementing Integrated Step-Selection Functions with Incomplete Data

David D Hofmann

Gabriele Cozzi

John R Fieberg

2023/10/26

Evaluating goodness-of-fit of animal movement models using lineups

bioRxiv

John Fieberg

Johannes Signer

Smith Freeman

2023

A comparison of survey method efficiencies for estimating densities of zebra mussels (Dreissena polymorpha)

PeerJ

Jake M Ferguson

Laura Jiménez

Aislyn A Keyes

Austen Hilding

Michael A McCartney

...

2023/7/10

Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology

Elliot Gould

Hannah S Fraser

Timothy H Parker

Shinichi Nakagawa

Simon C Griffith

...

2023/10/4

R Code and Data Supporting: A comparison of survey method efficiency for estimating densities of Zebra Mussels (Dreissena polymorpha)

Jake M Ferguson

Laura Jimenez

Aislyn A Keyes

Austen Hilding

Michael A McCartney

...

2023/5/25

Identifying signals of memory from observations of animal movements in Plato's cave

bioRxiv

Dongmin Kim

Peter Thompson

David Wolfson

Jerod Merkle

Luiz Gustavo Rodrigues Oliveira-Santos

...

2023

R code associated with Evaluating goodness-of-fit of animal movement models using lineups

John Fieberg

Smith Freeman

Johannes Signer

2023/10/2

A new set of tools to explore, analyze, and communicate animal movements with environmental and anthropogenic context

EGU General Assembly Conference Abstracts

Justine Missik

Gil Bohrer

Madeline Scyphers

Sarah Davidson

Roland Kays

...

2023/5

Modelling individual variability in habitat selection and movement using integrated step‐selection analysis

Methods in Ecology and Evolution

Nilanjan Chatterjee

David Wolfson

Dongmin Kim

Juliana Velez

Smith Freeman

...

2023

R code and data supporting: Implications of the scale of detection for inferring co-occurrence patterns from paired camera traps and acoustic recorders

Juliana Vélez

William McShea

Budhan Pukazhenthi

John Fieberg

2023/9/5

Implications of the scale of detection for inferring co‐occurrence patterns from paired camera traps and acoustic recorders

Conservation Biology

Juliana Vélez

William McShea

Budhan Pukazhenthi

Pablo Stevenson

John Fieberg

2023/11/8

An evaluation of platforms for processing camera‐trap data using artificial intelligence

Juliana Vélez

William McShea

Hila Shamon

Paula J Castiblanco‐Camacho

Michael A Tabak

...

2023/2

See List of Professors in John Fieberg University(University of Minnesota-Twin Cities)