Andreas Wünsch
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments 19
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI 9
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies 12
- Geochemistry and Petrology top 10%
- Global and Planetary Change top 10%
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- Organ Transplantation Techniques and Outcomes 18
- Transplantation: Methods and Outcomes 3
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- Organ Donation and Transplantation 8
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- Liver Disease and Transplantation 5
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- Karst Systems and Hydrogeology 4
Andreas Wünsch
47 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Transplantation 199
- Environmental Engineering 440
- Water Science and Technology 386
- Geochemistry and Petrology 72
- Global and Planetary Change 244
Countries citing papers authored by Andreas Wünsch
This map shows the geographic impact of Andreas Wünsch'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 Andreas Wünsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Wünsch more than expected).
Fields of papers citing papers by Andreas Wünsch
This network shows the impact of papers produced by Andreas Wünsch. 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 Andreas Wünsch. The network helps show where Andreas Wünsch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas Wünsch, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 131 | |
| 8 | 2022 | 41 | |
| 9 | 2021 | 0 | |
| 10 | Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)breakdown → | 2021 | 199 |
| 11 | 2021 | 4 | |
| 12 | 2018 | 12 | |
| 13 | 2017 | 2 | |
| 14 | 2013 | 0 | |
| 15 | 2009 | 30 | |
| 16 | 2009 | 6 | |
| 17 | 2008 | 28 | |
| 18 | 2007 | 7 | |
| 19 | 2002 | 2 | |
| 20 | 1998 | 15 |
About Andreas Wünsch
Andreas Wünsch is a scholar working on Transplantation, Environmental Engineering and Water Science and Technology, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (19 papers), Organ Transplantation Techniques and Outcomes (18 papers), Hydrology and Watershed Management Studies (12 papers), Hydrological Forecasting Using AI (9 papers), Organ Donation and Transplantation (8 papers), Liver Disease and Transplantation (5 papers), Karst Systems and Hydrogeology (4 papers) and Transplantation: Methods and Outcomes (3 papers). The work is most often cited by research in Transplantation (199 citations), Environmental Engineering (440 citations) and Water Science and Technology (386 citations). Andreas Wünsch has collaborated with scholars based in Germany, Slovenia and France. Frequent co-authors include Tanja Liesch, Stefan Broda, Richard Viebahn, Peter Schenker, W. Kübler, Christoph Bode, Jens R. Allenberg, Peter P. Nawroth, Christian Conradt and Michael Boehme. Their work appears in journals such as Hydrology and earth system sciences, Transplantation, Journal of Hydrology, Transplant International and Water Resources Management.
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.