Matthias Templ

4.6k total citations · 1 hit paper
88 papers, 2.6k citations indexed

About

Matthias Templ is a scholar working on Artificial Intelligence, Statistics and Probability and Environmental Engineering. According to data from OpenAlex, Matthias Templ has authored 88 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 24 papers in Statistics and Probability and 14 papers in Environmental Engineering. Recurrent topics in Matthias Templ's work include Geochemistry and Geologic Mapping (29 papers), Soil Geostatistics and Mapping (13 papers) and Advanced Statistical Methods and Models (12 papers). Matthias Templ is often cited by papers focused on Geochemistry and Geologic Mapping (29 papers), Soil Geostatistics and Mapping (13 papers) and Advanced Statistical Methods and Models (12 papers). Matthias Templ collaborates with scholars based in Austria, Switzerland and Czechia. Matthias Templ's co-authors include Peter Filzmoser, Alexander Kowarik, Karel Hron, Clemens Reimann, Andreas Alfons, Josep Antoni Martín Fernández, Javier Palarea‐Albaladejo, Sugnet Gardner‐Lubbe, Barbara Templ and Valentin Todorov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Energy.

In The Last Decade

Matthias Templ

81 papers receiving 2.5k citations

Hit Papers

Imputation with the R Package VIM 2016 2026 2019 2022 2016 100 200 300
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.

  1. Imputation with the R Package VIM
    2016 399 citations Alexander Kowarik, Matthias Templ Journal of Statistical Software profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Templ Austria 25 1.1k 340 294 235 209 88 2.6k
Josep Antoni Martín Fernández Spain 28 1.5k 1.3× 158 0.5× 404 1.4× 556 2.4× 427 2.0× 96 4.4k
Erwan Scornet France 11 861 0.8× 174 0.5× 413 1.4× 177 0.8× 94 0.4× 18 3.4k
Raimon Tolosana‐Delgado Germany 28 1.6k 1.4× 119 0.3× 596 2.0× 246 1.0× 392 1.9× 101 3.5k
Elizabeth A. Peck United States 5 422 0.4× 515 1.5× 359 1.2× 147 0.6× 159 0.8× 7 5.0k
Gérard Biau France 12 796 0.7× 227 0.7× 384 1.3× 221 0.9× 76 0.4× 24 3.2k
Karel Hron Czechia 33 2.5k 2.2× 289 0.8× 708 2.4× 406 1.7× 548 2.6× 124 4.9k
Brian D. Marx United States 29 531 0.5× 1.7k 5.0× 344 1.2× 304 1.3× 66 0.3× 82 5.2k
John J. Beauchamp United States 27 584 0.5× 746 2.2× 198 0.7× 299 1.3× 33 0.2× 89 4.1k
Han Liu China 23 508 0.4× 869 2.6× 187 0.6× 211 0.9× 25 0.1× 88 2.7k
Timothy Hanson United States 27 770 0.7× 1.0k 3.0× 252 0.9× 1.2k 5.2× 144 0.7× 102 4.5k

Countries citing papers authored by Matthias Templ

Since Specialization
Citations

This map shows the geographic impact of Matthias Templ'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 Matthias Templ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Templ more than expected).

Fields of papers citing papers by Matthias Templ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias Templ. 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 Matthias Templ. The network helps show where Matthias Templ may publish in the future.

Co-authorship network of co-authors of Matthias Templ

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Templ. A scholar is included among the top collaborators of Matthias Templ 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 Matthias Templ. Matthias Templ is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Templ, Matthias, et al.. (2024). The impact of misclassifications and outliers on imputation methods. Journal of Applied Statistics. 51(14). 2894–2928.
3.
Templ, Matthias. (2023). Visualization and Imputation of Missing Values. 8 indexed citations
4.
5.
Templ, Matthias & Christoph Heitz. (2020). Fleet Management in Free-Floating Bike Sharing Systems Using Predictive Modelling and Explorative Tools. Austrian Journal of Statistics. 49(2). 53–69. 1 indexed citations
6.
Templ, Matthias. (2020). Modeling and Prediction of the Impact Factor of Journals Using Open-Access Databases. Austrian Journal of Statistics. 49(5). 35–58. 4 indexed citations
7.
Templ, Matthias, et al.. (2019). Feedback-Based Integration of the Whole Process of Data Anonymization in a Graphical Interface. Algorithms. 12(9). 191–191. 3 indexed citations
8.
Filzmoser, Peter, Karel Hron, & Matthias Templ. (2018). Applied compositional data analysis with worked examples in R. CERN Document Server (European Organization for Nuclear Research). 32 indexed citations
9.
Templ, Barbara, Matthias Templ, Peter Filzmoser, et al.. (2017). Phenological patterns of flowering across biogeographical regions of Europe. International Journal of Biometeorology. 61(7). 1347–1358. 27 indexed citations
10.
Zhang, Xiaoqin, et al.. (2017). Regression imputation with Q-mode clustering for rounded zero replacement in high-dimensional compositional data. Journal of Applied Statistics. 45(11). 2067–2080. 7 indexed citations
11.
Templ, Matthias, et al.. (2017). Simulation of Synthetic Complex Data: The R Package simPop. Journal of Statistical Software. 79(10). 38 indexed citations
12.
Kowarik, Alexander & Matthias Templ. (2016). Imputation with the R Package VIM. Journal of Statistical Software. 74(7). 399 indexed citations breakdown →
13.
Templ, Matthias. (2016). Simulation for Data Science with R. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 3 indexed citations
14.
Templ, Matthias. (2016). Data visualization using R. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 1 indexed citations
15.
Huber, Johannes, et al.. (2016). Routine Treatment of Cervical Cytological Cell Changes. Geburtshilfe und Frauenheilkunde. 76(10). 1086–1091. 7 indexed citations
16.
Templ, Barbara, Stefan Fleck, & Matthias Templ. (2016). Change of plant phenophases explained by survival modeling. International Journal of Biometeorology. 61(5). 881–889. 10 indexed citations
17.
Templ, Matthias, et al.. (2014). Development and Current Practice in Using R at Statistics Austria. SHILAP Revista de lepidopterología.
18.
Templ, Matthias, et al.. (2013). Analysis of Commercial and Free and Open Source Solvers for the Cell Suppression Problem. 6(2). 147–159. 19 indexed citations
19.
Templ, Matthias, et al.. (2009). A Graphical User Interface for Microdata Protection Which Provides Reproducibility and Interactions: the sdcMicro GUI. 2(3). 207–224. 4 indexed citations
20.
Templ, Matthias. (2008). Statistical Disclosure Control for Microdata Using the R-Package sdcMicro. SHILAP Revista de lepidopterología. 1(2). 67–85. 50 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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