Frederik Kratzert
- Water Science and Technology top 0.2%
- Environmental Engineering top 0.2%
- Global and Planetary Change top 1%
- Atmospheric Science top 5%
- Artificial Intelligence top 10%
- Co-authors
- Daniel KlotzMathew HerrneggerGrey NearingKarsten SchulzClaire BrennerAlden Keefe SampsonSepp HochreiterMartin Gauch
- Topics
- Hydrology and Watershed Management Studies (37 papers)Hydrological Forecasting Using AI (33 papers)Flood Risk Assessment and Management (27 papers)
- Partner nations
- United StatesAustriaSwitzerland
In The Last Decade
Frederik Kratzert
41 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Water Science and Technology 2.4k
- Environmental Engineering 2.4k
- Global and Planetary Change 2.0k
- Atmospheric Science 481
- Artificial Intelligence 150
Countries citing papers authored by Frederik Kratzert
This map shows the geographic impact of Frederik Kratzert'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 Frederik Kratzert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederik Kratzert more than expected).
Fields of papers citing papers by Frederik Kratzert
This network shows the impact of papers produced by Frederik Kratzert. 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 Frederik Kratzert. The network helps show where Frederik Kratzert may publish in the future.
Co-authorship network of co-authors of Frederik Kratzert
This figure shows the co-authorship network connecting the top 25 collaborators of Frederik Kratzert. A scholar is included among the top collaborators of Frederik Kratzert 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 Frederik Kratzert. Frederik Kratzert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basinbreakdown → | 58 |
| 6 | 5 | |
| 7 | Caravan - A global community dataset for large-sample hydrologybreakdown → | 124 |
| 8 | 14 | |
| 9 | 64 | |
| 10 | 95 | |
| 11 | Deep learning rainfall–runoff predictions of extreme eventsbreakdown → | 156 |
| 12 | 26 | |
| 13 | 104 | |
| 14 | 50 | |
| 15 | 12 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | Advances of FishNet towards a fully automatic monitoring system for fish migration | 6 |
About Frederik Kratzert
Frederik Kratzert is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change, having authored 43 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (37 papers), Hydrological Forecasting Using AI (33 papers) and Flood Risk Assessment and Management (27 papers). The work is most often cited by research in Water Science and Technology (2.4k citations), Environmental Engineering (2.4k citations) and Global and Planetary Change (2.0k citations). Frederik Kratzert has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include Daniel Klotz, Mathew Herrnegger, Grey Nearing, Karsten Schulz, Claire Brenner, Alden Keefe Sampson, Sepp Hochreiter, Martin Gauch, Jonathan Frame and Hoshin V. Gupta. Their work appears in journals such as Nature, Water Resources Research and Geophysical Research Letters.
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.