Markus Muerth

497 total citations
10 papers, 362 citations indexed

About

Markus Muerth is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Markus Muerth has authored 10 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Water Science and Technology, 6 papers in Global and Planetary Change and 3 papers in Atmospheric Science. Recurrent topics in Markus Muerth's work include Hydrology and Watershed Management Studies (5 papers), Climate variability and models (3 papers) and Plant Water Relations and Carbon Dynamics (3 papers). Markus Muerth is often cited by papers focused on Hydrology and Watershed Management Studies (5 papers), Climate variability and models (3 papers) and Plant Water Relations and Carbon Dynamics (3 papers). Markus Muerth collaborates with scholars based in Germany, Canada and Italy. Markus Muerth's co-authors include Ralf Ludwig, B. Gauvin St-Denis, D. Caya, Josef Schmid, Richard Turcotte, J. A. Velázquez, Simon Ricard, Diane Chaumont, Marie Minville and Wolfram Mauser and has published in prestigious journals such as Hydrology and earth system sciences, Environmental Modelling & Software and Grundwasser.

In The Last Decade

Markus Muerth

10 papers receiving 353 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 Muerth Germany 6 290 284 99 41 31 10 362
Josef Schmid Germany 5 341 1.2× 301 1.1× 129 1.3× 44 1.1× 31 1.0× 8 419
B. Gauvin St-Denis Canada 5 325 1.1× 298 1.0× 129 1.3× 38 0.9× 28 0.9× 6 394
Elin Widén-Nilsson Sweden 6 319 1.1× 342 1.2× 119 1.2× 78 1.9× 30 1.0× 14 402
Nina Köplin Switzerland 8 360 1.2× 395 1.4× 172 1.7× 46 1.1× 40 1.3× 12 476
Kue Bum Kim United Kingdom 12 183 0.6× 191 0.7× 86 0.9× 88 2.1× 29 0.9× 13 288
Mingxi Shen China 7 301 1.0× 232 0.8× 151 1.5× 61 1.5× 26 0.8× 10 385
Johannes Cullmann Germany 11 161 0.6× 152 0.5× 54 0.5× 50 1.2× 31 1.0× 19 264
Alejandro Chamorro Germany 7 201 0.7× 253 0.9× 41 0.4× 71 1.7× 34 1.1× 12 306
J. A. Velázquez Canada 9 519 1.8× 507 1.8× 207 2.1× 111 2.7× 43 1.4× 9 624
Jill Hardy United States 4 252 0.9× 172 0.6× 77 0.8× 52 1.3× 10 0.3× 4 319

Countries citing papers authored by Markus Muerth

Since Specialization
Citations

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

Fields of papers citing papers by Markus Muerth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Muerth

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

All Works

10 of 10 papers shown
1.
Muerth, Markus, et al.. (2022). Crop Water Availability Mapping in the Danube Basin Based on Deep Learning, Hydrological and Crop Growth Modelling. Institutional Research Information System (Università degli Studi di Trento). 42–42. 5 indexed citations
2.
Muerth, Markus, et al.. (2015). Water models and scenarios inventory for the Danube region. Joint Research Centre (European Commission). 5 indexed citations
3.
Velázquez, J. A., Josef Schmid, Simon Ricard, et al.. (2013). An ensemble approach to assess hydrological models' contribution to uncertainties in the analysis of climate change impact on water resources. Hydrology and earth system sciences. 17(2). 565–578. 140 indexed citations
4.
Muerth, Markus, B. Gauvin St-Denis, Simon Ricard, et al.. (2013). On the need for bias correction in regional climate scenarios to assess climate change impacts on river runoff. Hydrology and earth system sciences. 17(3). 1189–1204. 192 indexed citations
5.
Schmid, J., et al.. (2012). Impacts of climate change on the water management system on the alpine Upper Isar river with regards to hydro power potential and residual flow. EGUGA. 11319. 1 indexed citations
6.
Muerth, Markus & Wolfram Mauser. (2012). Rigorous evaluation of a soil heat transfer model for mesoscale climate change impact studies. Environmental Modelling & Software. 35. 149–162. 7 indexed citations
7.
Muerth, Markus, B. Gauvin St-Denis, Ralf Ludwig, & D. Caya. (2012). Evaluation of different sources of uncertainty in climate change impact research using a hydro-climatic model ensemble. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 6 indexed citations
8.
Barthel, Roland, Tim G. Reichenau, Markus Muerth, et al.. (2011). Folgen des Globalen Wandels für das Grundwasser in Süddeutschland – Teil 1: Naturräumliche Aspekte. Grundwasser. 16(4). 247–257. 4 indexed citations
9.
Muerth, Markus, F. Schlenz, Alexander Loew, & Wolfram Mauser. (2010). Coupled simulation of soil energy and water content to compare dielectric behaviour with TDR measurements in frozen soil. MPG.PuRe (Max Planck Society). 14320. 1 indexed citations
10.
Muerth, Markus, et al.. (2010). Impact of potential climate change on plant available soil water and percolation in the Upper Danube basin. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 1 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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