Markus Disse
- Water Science and Technology top 0.5%
- Hydrology and Watershed Management Studies 73
- Global and Planetary Change top 0.5%
- Flood Risk Assessment and Management 52
- Hydrology and Drought Analysis 27
- Climate variability and models 16
- Plant Water Relations and Carbon Dynamics 8
- Atmospheric Science top 2%
- Cryospheric studies and observations 16
- Environmental Engineering top 1%
- Hydrological Forecasting Using AI 11
- Soil Science top 5%
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- Water resources management and optimization 12
Markus Disse
117 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Water Science and Technology 1.7k
- Global and Planetary Change 2.2k
- Atmospheric Science 1.0k
- Environmental Engineering 801
- Soil Science 291
Countries citing papers authored by Markus Disse
This map shows the geographic impact of Markus Disse'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 Disse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Disse more than expected).
Fields of papers citing papers by Markus Disse
This network shows the impact of papers produced by Markus Disse. 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 Disse. The network helps show where Markus Disse may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Disse, 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 | 2025 | 1 | |
| 2 | 2023 | 16 | |
| 3 | 2023 | 28 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 45 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 18 | |
| 12 | 2019 | 1 | |
| 13 | 2019 | 19 | |
| 14 | 2018 | 4 | |
| 15 | 2018 | 93 | |
| 16 | 2016 | 6 | |
| 17 | Possible Climate Change/Variability and Human Impacts, Vulnerability of African Drought Prone Regions, its Water Resources and Capacity Building | 2016 | 1 |
| 18 | 2015 | 48 | |
| 19 | 2015 | 21 | |
| 20 | Process-orientated simulation of tillage practices and land use change to optimize distributed flood control measures | 2009 | 1 |
About Markus Disse
Markus Disse is a scholar working on Water Science and Technology, Global and Planetary Change, Environmental Engineering, Atmospheric Science and Soil Science, having authored 120 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (73 papers), Flood Risk Assessment and Management (52 papers), Hydrology and Drought Analysis (27 papers), Climate variability and models (16 papers), Cryospheric studies and observations (16 papers), Water resources management and optimization (12 papers), Hydrological Forecasting Using AI (11 papers) and Plant Water Relations and Carbon Dynamics (8 papers). The work is most often cited by research in Water Science and Technology (1.7k citations), Global and Planetary Change (2.2k citations), Atmospheric Science (1.0k citations), Environmental Engineering (801 citations) and Soil Science (291 citations). Markus Disse has collaborated with scholars based in Germany, China and Austria. Frequent co-authors include Ye Tuo, Gabriele Chiogna, Zheng Duan, Bruno Merz, Andreas Schumann, Jim W. Hall, Jorge Leandro, Junzhi Liu, András Bàrdossy and Sophie Bachmair. Their work appears in journals such as Water, Journal of Hydrology, Hydrology and earth system sciences, Hydrological Sciences Journal and The Science of The Total Environment.
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.