Markus Quirmbach

402 total citations
13 papers, 309 citations indexed

About

Markus Quirmbach is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Markus Quirmbach has authored 13 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 10 papers in Atmospheric Science and 3 papers in Environmental Engineering. Recurrent topics in Markus Quirmbach's work include Meteorological Phenomena and Simulations (7 papers), Flood Risk Assessment and Management (6 papers) and Climate variability and models (4 papers). Markus Quirmbach is often cited by papers focused on Meteorological Phenomena and Simulations (7 papers), Flood Risk Assessment and Management (6 papers) and Climate variability and models (4 papers). Markus Quirmbach collaborates with scholars based in Germany, Denmark and Belgium. Markus Quirmbach's co-authors include Thomas Einfalt, Guido Vaes, Baxter E. Vieux, Karsten Arnbjerg‐Nielsen, Ν. E. Jensen, Niels Holm Jensen, Gert A. Schultz, Christoph R. Clemens, Olfa Kanoun and Ioannis E. Papadakis and has published in prestigious journals such as Journal of Hydrology, Sensors and Water Science & Technology.

In The Last Decade

Markus Quirmbach

9 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Quirmbach Germany 7 212 208 117 114 13 13 309
Ludovic Bouilloud France 9 158 0.7× 187 0.9× 66 0.6× 160 1.4× 15 1.2× 13 305
Damián Murlà Tuyls Belgium 5 176 0.8× 243 1.2× 106 0.9× 140 1.2× 10 0.8× 7 314
L. Cunha United States 10 263 1.2× 290 1.4× 120 1.0× 201 1.8× 24 1.8× 18 442
Santiago Gaitan Netherlands 5 172 0.8× 235 1.1× 94 0.8× 136 1.2× 7 0.5× 7 310
Abdellah Ichiba France 7 187 0.9× 276 1.3× 135 1.2× 167 1.5× 17 1.3× 13 349
Bruno Tisserand France 6 177 0.8× 235 1.1× 109 0.9× 142 1.2× 7 0.5× 11 314
Katia Chancibault France 12 156 0.7× 266 1.3× 95 0.8× 167 1.5× 9 0.7× 20 332
Carlos Velasco‐Forero Australia 5 334 1.6× 258 1.2× 96 0.8× 114 1.0× 7 0.5× 11 406
Carles Corral Spain 8 264 1.2× 267 1.3× 115 1.0× 156 1.4× 10 0.8× 12 398
A. Rafieeinasab United States 11 158 0.7× 215 1.0× 86 0.7× 165 1.4× 14 1.1× 25 287

Countries citing papers authored by Markus Quirmbach

Since Specialization
Citations

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

Fields of papers citing papers by Markus Quirmbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Quirmbach

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

All Works

13 of 13 papers shown
1.
2.
Quirmbach, Markus, et al.. (2024). A Temporal Fusion Transformer Model to Forecast Overflow from Sewer Manholes during Pluvial Flash Flood Events. Hydrology. 11(3). 41–41. 7 indexed citations
3.
4.
Quirmbach, Markus, et al.. (2023). A Spatiotemporal Deep Learning Approach for Urban Pluvial Flood Forecasting with Multi-Source Data. Water. 15(9). 1760–1760. 19 indexed citations
5.
Clemens, Christoph R., et al.. (2022). Development of an Inductive Rain Gauge. Sensors. 22(15). 5486–5486. 4 indexed citations
6.
Frank, Susanne, Wilhelm Kuttler, Wolf Merkel, et al.. (2014). Dynaklim : dynamische Anpassung der Emscher-Lippe-Region (Ruhrgebiet) an die Auswirkungen des Klimawandels. Publication Server of the Wuppertal Institute (Wuppertal Institute). 1 indexed citations
7.
Quirmbach, Markus, et al.. (2012). Trends in precipitation measurement and climate model data and their influence on the assessment of urban systems. 2 indexed citations
8.
Einfalt, Thomas, et al.. (2012). Statistical downscaling of CLM precipitation using adjusted radar data and objective weather types. 6 indexed citations
9.
Quirmbach, Markus, et al.. (2012). Bias correction of precipitation data from the CLM regional climate model for water management model application. 2 indexed citations
10.
Quirmbach, Markus, et al.. (2011). Climate change analysis of precipitation data for North Rhine-Westphalia. Atmospheric Research. 109-110. 1–13. 12 indexed citations
11.
Einfalt, Thomas, Karsten Arnbjerg‐Nielsen, Niels Holm Jensen, et al.. (2004). Towards a roadmap for use of radar rainfall data in urban drainage. Journal of Hydrology. 299(3-4). 186–202. 93 indexed citations
12.
Einfalt, Thomas, Karsten Arnbjerg‐Nielsen, Ν. E. Jensen, et al.. (2004). Towards a roadmap for use of radar rainfall data in urban drainage. Journal of Hydrology. 299(3-4). 186–202. 139 indexed citations
13.
Quirmbach, Markus & Gert A. Schultz. (2002). Comparison of rain gauge and radar data as input to an urban rainfall-runoff model. Water Science & Technology. 45(2). 27–33. 24 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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2026