Michael Denhard
Impact in
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations
Papers in
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- Meteorological Phenomena and Simulations 6
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- Flood Risk Assessment and Management 4
- Climate variability and models 2
- Co-authors
- Gregor Giebel (2 shared papers)Richard A. Brownsword (1 shared paper)Georges Kariniotakis (1 shared paper)Caroline Draxl (1 shared paper)C.‐D. Schönwiese (2 shared papers)Tobias A. Fuchs (1 shared paper)Andreas Schumann (3 shared papers)Jörg Dietrich (3 shared papers)
In The Last Decade
Michael Denhard
11 papers receiving 535 citations
Michael Denhard's Hit Papers
Peers
Comparison fields: 5 of 56
- Energy Engineering and Power Technology 26
- Atmospheric Science 141
- Global and Planetary Change 149
- Electrical and Electronic Engineering 371
- Environmental Engineering 67
Countries citing papers authored by Michael Denhard
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
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-authors
The 19 scholars most cited alongside Michael Denhard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The state-of-the-art in short-term prediction of wind power. A literature overview Hit paper breakdown → | 2011 | 373 |
| 2 | 1994 | 67 | |
| 3 | 2012 | 35 | |
| 4 | 2009 | 31 | |
| 5 | 2008 | 24 | |
| 6 | 1997 | 12 | |
| 7 | 2009 | 11 | |
| 8 | 1998 | 8 | |
| 9 | 2018 | 2 | |
| 10 | 2019 | 2 | |
| 11 | ICON-EPS: The operational global ensemble forecasting system of DWD | 2018 | 1 |
About Michael Denhard
Michael Denhard is a scholar working on Atmospheric Science, Global and Planetary Change, Water Science and Technology, Artificial Intelligence and Environmental Engineering, having authored 11 papers that have together received 566 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (6 papers), Hydrology and Watershed Management Studies (4 papers), Flood Risk Assessment and Management (4 papers), Climate variability and models (2 papers), Energy Load and Power Forecasting (2 papers), Hydrological Forecasting Using AI (1 paper), Neural Networks and Applications (1 paper) and Urban Stormwater Management Solutions (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (26 citations), Atmospheric Science (141 citations), Global and Planetary Change (149 citations), Electrical and Electronic Engineering (371 citations) and Environmental Engineering (67 citations). Michael Denhard has collaborated with scholars based in Germany and Denmark. Frequent co-authors include Gregor Giebel, Richard A. Brownsword, Georges Kariniotakis, Caroline Draxl, C.‐D. Schönwiese, Tobias A. Fuchs, Andreas Schumann, Jörg Dietrich, Yicheng Wang and Jürgen Grieser. Their work appears in journals such as Meteorologische Zeitschrift, Journal of Flood Risk Management, Quarterly Journal of the Royal Meteorological Society, Natural hazards and earth system sciences and Theoretical and Applied Climatology.
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.