Patrick Schratz

1.3k total citations · 1 hit paper
12 papers, 772 citations indexed

About

Patrick Schratz is a scholar working on Ecology, Environmental Engineering and Ecological Modeling. According to data from OpenAlex, Patrick Schratz has authored 12 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, 6 papers in Environmental Engineering and 4 papers in Ecological Modeling. Recurrent topics in Patrick Schratz's work include Remote Sensing in Agriculture (5 papers), Species Distribution and Climate Change (4 papers) and Remote Sensing and LiDAR Applications (4 papers). Patrick Schratz is often cited by papers focused on Remote Sensing in Agriculture (5 papers), Species Distribution and Climate Change (4 papers) and Remote Sensing and LiDAR Applications (4 papers). Patrick Schratz collaborates with scholars based in Germany, Spain and United States. Patrick Schratz's co-authors include Jakob Richter, Jannes Muenchow, Alexander Brenning, Eugenia Iturritxa, Bernd Bischl, Stefan Coors, Lars Kotthoff, Florian Pfisterer, Martin Binder and Michel Lang and has published in prestigious journals such as Remote Sensing, Journal of Statistical Software and Ecological Modelling.

In The Last Decade

Patrick Schratz

11 papers receiving 745 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data

2019 367 citations Patrick Schratz, Jannes Muenchow et al. Ecological Modelling profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Patrick Schratz Germany	7	190	184	165	113	94	12	772
Baptiste Gregorutti France	3	124 0.7×	110 0.6×	121 0.7×	144 1.3×	29 0.3×	4	767
Masahiko Nagai Japan	17	345 1.8×	303 1.6×	390 2.4×	97 0.9×	79 0.8×	91	1.2k
Bo Wan China	18	474 2.5×	284 1.5×	277 1.7×	137 1.2×	26 0.3×	61	1.1k
Nedjeljko Frančula Croatia	11	127 0.7×	132 0.7×	195 1.2×	82 0.7×	61 0.6×	86	1.1k
Jannes Muenchow Germany	14	184 1.0×	155 0.8×	284 1.7×	82 0.7×	199 2.1×	20	873
Timothy C. Haas United States	16	193 1.0×	510 2.8×	267 1.6×	228 2.0×	47 0.5×	37	1.2k
Liguo Zhang China	18	109 0.6×	90 0.5×	207 1.3×	45 0.4×	41 0.4×	116	1.1k
Zhiyuan Ren China	23	194 1.0×	108 0.6×	396 2.4×	107 0.9×	203 2.2×	198	1.6k
Xiaojing Tang United States	15	226 1.2×	192 1.0×	338 2.0×	27 0.2×	46 0.5×	40	747
Ali Ben Abbes Tunisia	15	246 1.3×	255 1.4×	286 1.7×	87 0.8×	52 0.6×	47	983

Countries citing papers authored by Patrick Schratz

Since Specialization

Citations

This map shows the geographic impact of Patrick Schratz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Patrick Schratz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Schratz more than expected).

Fields of papers citing papers by Patrick Schratz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Schratz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patrick Schratz. The network helps show where Patrick Schratz may publish in the future.

Co-authorship network of co-authors of Patrick Schratz

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Schratz. A scholar is included among the top collaborators of Patrick Schratz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patrick Schratz. Patrick Schratz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Schratz, Patrick, Marc Becker, Michel Lang, & Alexander Brenning. (2024). mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R. Journal of Statistical Software. 111(7). 2 indexed citations

2.

Schratz, Patrick, Jannes Muenchow, Eugenia Iturritxa, et al.. (2021). Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?. Remote Sensing. 13(23). 4832–4832. 18 indexed citations

3.

Schratz, Patrick, et al.. (2020). The performance of landslide susceptibility models critically depends on the quality of digital elevation models. Geomatics Natural Hazards and Risk. 11(1). 1075–1092. 52 indexed citations

4.

Urban, Marcel, Christian Berger, Patrick Schratz, et al.. (2020). Woody cover mapping in the savanna ecosystem of the Kruger National Park using Sentinel-1 C-Band time series data. Koedoe. 62(1). 13 indexed citations

5.

Urban, Marcel, et al.. (2020). Predicting Forest Cover in Distinct Ecosystems: The Potential of Multi-Source Sentinel-1 and -2 Data Fusion. Remote Sensing. 12(2). 302–302. 60 indexed citations

6.

Schratz, Patrick. (2020). Odds Ratio Calculation for GAM(M)s & GLM(M)s [R package oddsratio version 2.0.1]. 1 indexed citations

7.

Muenchow, Jannes, Petra Dieker, Tobias Fremout, et al.. (2020). Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru. Ecography. 43(12). 1878–1890. 4 indexed citations

8.

Schratz, Patrick, et al.. (2020). Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?. Figshare.

9.

Lang, Michel, Martin Binder, Jakob Richter, et al.. (2019). mlr3: A modern object-oriented machine learning framework in R. The Journal of Open Source Software. 4(44). 1903–1903. 235 indexed citations

10.

Schratz, Patrick, Jannes Muenchow, Eugenia Iturritxa, Jakob Richter, & Alexander Brenning. (2019). Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data. Ecological Modelling. 406. 109–120. 367 indexed citations breakdown →

11.

Stanosz, G. R., Denise R. Smith, Jannes Muenchow, et al.. (2018). Mating type ratios and pathogenicity in Diplodia shoot blight fungi populations: Comparative analysis. Forest Pathology. 49(1). 1 indexed citations

12.

Muenchow, Jannes, Patrick Schratz, & Alexander Brenning. (2017). RQGIS: Integrating R with QGIS for Statistical Geocomputing. The R Journal. 9(2). 409–409. 19 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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