Patrick Schratz

Patrick Schratz

Friedrich-Schiller-Universität Jena

H-index: 12

Europe-Germany

About Patrick Schratz

Patrick Schratz, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at Friedrich-Schiller-Universität Jena, specializes in the field of Data Science, Environmental modeling.

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

Package ‘FSelectorRcpp’

Package ‘sperrorest’

Benchmarking environmental machine-learning models: methodological progress and an application to forest health

Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?

Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R

Woody cover mapping in the savanna ecosystem of the Kruger National Park using Sentinel-1 C-Band time series data

The performance of landslide susceptibility models critically depends on the quality of digital elevation models

Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru

Patrick Schratz Information

University

Position

PhD Candidate at

Citations(all)

908

Citations(since 2020)

865

Cited By

160

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

11

Email

University Profile Page

Friedrich-Schiller-Universität Jena

Google Scholar

View Google Scholar Profile

Patrick Schratz Skills & Research Interests

Data Science

Environmental modeling

Top articles of Patrick Schratz

Title

Journal

Author(s)

Publication Date

Package ‘FSelectorRcpp’

Zygmunt Zawadzki

Marcin Kosinski

Krzysztof Slomczynski

Damian Skrzypiec

Patrick Schratz

2023/4/28

Package ‘sperrorest’

Alexander Brenning

Patrick Schratz

Tobias Herrmann

Maintainer Alexander Brenning

2022/10/16

Benchmarking environmental machine-learning models: methodological progress and an application to forest health

Patrick Schratz

2022

Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?

Remote Sensing

Patrick Schratz

Jannes Muenchow

Eugenia Iturritxa

José Cortés

Bernd Bischl

...

2021/11/28

Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R

Patrick Schratz

Marc Becker

Michel Lang

Alexander Brenning

2021/10/25

Woody cover mapping in the savanna ecosystem of the Kruger National Park using Sentinel-1 C-Band time series data

koedoe

Marcel Urban

Kai Heckel

Christian Berger

Patrick Schratz

Izak PJ Smit

...

2020

The performance of landslide susceptibility models critically depends on the quality of digital elevation models

Geomatics, Natural Hazards and Risk

Jonas Brock

Patrick Schratz

Helene Petschko

Jannes Muenchow

Mihai Micu

...

2020/1/1

Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru

Ecography

Jannes Muenchow

Petra Dieker

Thea Böttcher

Jonas Brock

Gregor Didenko

...

2020/12

Package ‘iml’

R CRAN

Christoph Molnar

Patrick Schratz

2020/3/26

Predicting forest cover in distinct ecosystems: The potential of multi-source Sentinel-1 and-2 data fusion

Remote Sensing

Kai Heckel

Marcel Urban

Patrick Schratz

Miguel D Mahecha

Christiane Schmullius

2020/1/17

See List of Professors in Patrick Schratz University(Friedrich-Schiller-Universität Jena)

Co-Authors

H-index: 50
C C Schmullius

C C Schmullius

Friedrich-Schiller-Universität Jena

H-index: 47
Alexander Brenning

Alexander Brenning

Friedrich-Schiller-Universität Jena

H-index: 45
Bernd Bischl

Bernd Bischl

Ludwig-Maximilians-Universität München

H-index: 25
Lars Kotthoff

Lars Kotthoff

University of Wyoming

H-index: 22
Michel Lang

Michel Lang

Technische Universität Dortmund

H-index: 18
Giuseppe Casalicchio

Giuseppe Casalicchio

Ludwig-Maximilians-Universität München

academic-engine