Michael Denhard

1.1k total citations
10 papers, 493 citations indexed

About

Michael Denhard is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Michael Denhard has authored 10 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 6 papers in Global and Planetary Change and 4 papers in Water Science and Technology. Recurrent topics in Michael Denhard's work include Meteorological Phenomena and Simulations (6 papers), Hydrology and Watershed Management Studies (4 papers) and Flood Risk Assessment and Management (4 papers). Michael Denhard is often cited by papers focused on Meteorological Phenomena and Simulations (6 papers), Hydrology and Watershed Management Studies (4 papers) and Flood Risk Assessment and Management (4 papers). Michael Denhard collaborates with scholars based in Germany. Michael Denhard's co-authors include Caroline Draxl, Richard A. Brownsword, Gregor Giebel, Georges Kariniotakis, C.‐D. Schönwiese, Tobias A. Fuchs, Andreas Schumann, Jörg Dietrich, Yicheng Wang and Frank Voß and has published in prestigious journals such as Quarterly Journal of the Royal Meteorological Society, Natural hazards and earth system sciences and Theoretical and Applied Climatology.

In The Last Decade

Michael Denhard

10 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Denhard Germany 7 320 132 122 88 72 10 493
Jim McCaa United States 4 459 1.4× 101 0.8× 120 1.0× 162 1.8× 98 1.4× 7 657
H. S. Sahsamanoglou Greece 9 419 1.3× 213 1.6× 190 1.6× 142 1.6× 185 2.6× 13 709
Corinna Möhrlen United States 8 444 1.4× 40 0.3× 86 0.7× 65 0.7× 233 3.2× 18 562
Jakob W. Messner Austria 15 234 0.7× 337 2.6× 373 3.1× 72 0.8× 113 1.6× 27 723
Sapowan Sanusi Malaysia 3 186 0.6× 47 0.4× 17 0.1× 97 1.1× 48 0.7× 4 384
Tyler McCandless United States 15 200 0.6× 168 1.3× 165 1.4× 26 0.3× 303 4.2× 24 513
Michaël Zamo France 7 257 0.8× 161 1.2× 185 1.5× 15 0.2× 251 3.5× 8 539
Simone Sperati Italy 11 572 1.8× 259 2.0× 340 2.8× 90 1.0× 471 6.5× 18 931
Martín Gastón Spain 13 267 0.8× 122 0.9× 97 0.8× 36 0.4× 527 7.3× 35 712
Keith Parks United States 5 177 0.6× 77 0.6× 113 0.9× 54 0.6× 46 0.6× 6 294

Countries citing papers authored by Michael Denhard

Since Specialization
Citations

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

Fields of papers citing papers by Michael Denhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Denhard

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Denhard. A scholar is included among the top collaborators of Michael Denhard 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 Michael Denhard. Michael Denhard 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.
Denhard, Michael, et al.. (2019). Krylov methods for adjoint‐free singular vector based perturbations in dynamical systems. Quarterly Journal of the Royal Meteorological Society. 146(726). 225–239. 2 indexed citations
2.
Denhard, Michael, Helmut Frank, A. Rhodin, et al.. (2018). ICON-EPS: The operational global ensemble forecasting system of DWD. EGU General Assembly Conference Abstracts. 13813. 1 indexed citations
3.
Simons, Franz, et al.. (2018). Enhancing Automated Water Level Control at Navigable Waterways by High-Resolution Weather Predictions. EPiC series in engineering. 3. 1022–1013. 2 indexed citations
4.
Giebel, Gregor, Caroline Draxl, Richard A. Brownsword, Georges Kariniotakis, & Michael Denhard. (2011). The state-of-the-art in short-term prediction of wind power. A literature overview. 352 indexed citations
5.
Dietrich, Jörg, Michael Denhard, & Andreas Schumann. (2009). Can ensemble forecasts improve the reliability of flood alerts?. Journal of Flood Risk Management. 2(4). 232–242. 10 indexed citations
6.
Dietrich, Jörg, et al.. (2009). Assessing uncertainties in flood forecasts for decision making: prototype of an operational flood management system integrating ensemble predictions. Natural hazards and earth system sciences. 9(4). 1529–1540. 29 indexed citations
7.
Dietrich, Jörg, et al.. (2008). Combination of different types of ensembles for the adaptive simulation of probabilistic flood forecasts: hindcasts for the Mulde 2002 extreme event. Nonlinear processes in geophysics. 15(2). 275–286. 23 indexed citations
8.
Denhard, Michael, et al.. (1998). Simulation globaler und hemisphärischer Temperaturvariationen und Signalanalyse mit Hilfe neuronaler Netzwerke. Meteorologische Zeitschrift. 7(4). 171–180. 6 indexed citations
9.
Denhard, Michael, et al.. (1997). Assessments of the global anthropogenic greenhouse and sulfate signal using different types of simplified climate models. Theoretical and Applied Climatology. 57(1-2). 119–124. 9 indexed citations
10.
Schönwiese, C.‐D., et al.. (1994). Beobachtete Klimatrends in Europa 1891-1990. Meteorologische Zeitschrift. 3(1). 22–28. 59 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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