Maximilian Graf
Impact in
- Atmospheric Science top 10%
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Environmental Engineering top 10%
- Soil Moisture and Remote Sensing
- Hydrological Forecasting Using AI
Papers in
-
- Meteorological Phenomena and Simulations 13
- Precipitation Measurement and Analysis 13
-
- Soil Moisture and Remote Sensing 7
- Co-authors
- Harald Kunstmann (12 shared papers)Christian Chwala (13 shared papers)Joël Arnault (2 shared papers)Benjamin Fersch (2 shared papers)András Bàrdossy (2 shared papers)Jochen Seidel (3 shared papers)Patrick Laux (1 shared paper)Zhenyu Zhang (1 shared paper)
In The Last Decade
Maximilian Graf
16 papers receiving 205 citations
Peers
Comparison fields: 5 of 31
- Atmospheric Science 178
- Environmental Engineering 96
- Global and Planetary Change 79
- Water Science and Technology 26
- Aerospace Engineering 44
Countries citing papers authored by Maximilian Graf
This map shows the geographic impact of Maximilian Graf'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 Maximilian Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximilian Graf more than expected).
Fields of papers citing papers by Maximilian Graf
This network shows the impact of papers produced by Maximilian Graf. 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 Maximilian Graf. The network helps show where Maximilian Graf may publish in the future.
Co-authors
The 25 scholars most cited alongside Maximilian Graf, 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 | 2020 | 60 | |
| 2 | 2020 | 50 | |
| 3 | 2021 | 29 | |
| 4 | 2021 | 26 | |
| 5 | 2021 | 14 | |
| 6 | 2016 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2016 | 0 |
About Maximilian Graf
Maximilian Graf is a scholar working on Atmospheric Science, Environmental Engineering, Global and Planetary Change, Aerospace Engineering and Political Science and International Relations, having authored 19 papers that have together received 208 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (13 papers), Precipitation Measurement and Analysis (13 papers), Soil Moisture and Remote Sensing (7 papers), Climate variability and models (5 papers), Radio Wave Propagation Studies (3 papers), Hydrology and Drought Analysis (2 papers), Historical Geopolitical and Social Dynamics (2 papers) and European history and politics (2 papers). The work is most often cited by research in Atmospheric Science (178 citations), Environmental Engineering (96 citations), Global and Planetary Change (79 citations), Water Science and Technology (26 citations) and Aerospace Engineering (44 citations). Maximilian Graf has collaborated with scholars based in Germany, Hungary and Spain. Frequent co-authors include Harald Kunstmann, Christian Chwala, Joël Arnault, Benjamin Fersch, András Bàrdossy, Jochen Seidel, Patrick Laux, Zhenyu Zhang, Jianhui Wei and Thomas Rummler. Their work appears in journals such as Atmospheric measurement techniques, Hydrological Processes, Hydrology and earth system sciences, Journal of Hydrometeorology and Frontiers in Earth Science.
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.