Andreas Wünsch
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI
- Groundwater flow and contamination studies
Papers in
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- Renal Transplantation Outcomes and Treatments 18
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- Hydrological Forecasting Using AI 9
- Groundwater flow and contamination studies 3
- Co-authors
- Tanja Liesch (15 shared papers)Stefan Broda (4 shared papers)Richard Viebahn (24 shared papers)Peter Schenker (22 shared papers)Michael Boehme (1 shared paper)W. Kübler (1 shared paper)Thomas K. Nordt (1 shared paper)Peter P. Nawroth (1 shared paper)
In The Last Decade
Andreas Wünsch
48 papers receiving 1.3k citations
Andreas Wünsch's Hit Papers
Peers
Comparison fields: 5 of 128
- Transplantation 177
- Environmental Engineering 457
- Water Science and Technology 389
- Geochemistry and Petrology 75
- Global and Planetary Change 250
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-authors
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
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 256 | |
| 2 | 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) Hit paper breakdown → | 2021 | 211 |
| 3 | 2018 | 176 | |
| 4 | Deep learning shows declining groundwater levels in Germany until 2100 due to climate change Hit paper breakdown → | 2022 | 148 |
| 5 | 2022 | 44 | |
| 6 | 2019 | 42 | |
| 7 | 2010 | 40 | |
| 8 | 2004 | 39 | |
| 9 | 2009 | 37 | |
| 10 | 2014 | 33 | |
| 11 | 2023 | 31 | |
| 12 | 2009 | 30 | |
| 13 | 2008 | 29 | |
| 14 | 2021 | 25 | |
| 15 | 2010 | 24 | |
| 16 | 2018 | 23 | |
| 17 | 2023 | 20 | |
| 18 | 1998 | 15 | |
| 19 | 2011 | 15 | |
| 20 | 2018 | 12 |
About Andreas Wünsch
Andreas Wünsch is a scholar working on Transplantation, Environmental Engineering, Water Science and Technology, Surgery and Global and Planetary Change, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (18 papers), Hydrology and Watershed Management Studies (12 papers), Organ Transplantation Techniques and Outcomes (10 papers), Hydrological Forecasting Using AI (9 papers), Karst Systems and Hydrogeology (4 papers), Organ Donation and Transplantation (3 papers), Groundwater flow and contamination studies (3 papers) and Flood Risk Assessment and Management (2 papers). The work is most often cited by research in Transplantation (177 citations), Environmental Engineering (457 citations), Water Science and Technology (389 citations), Geochemistry and Petrology (75 citations) and Global and Planetary Change (250 citations). Andreas Wünsch has collaborated with scholars based in Germany, France and Slovenia. Frequent co-authors include Tanja Liesch, Stefan Broda, Richard Viebahn, Peter Schenker, Michael Boehme, W. Kübler, Thomas K. Nordt, Peter P. Nawroth, Thomas G. Weiss and Christian Conradt. Their work appears in journals such as Hydrology and earth system sciences, Transplantation, Journal of Hydrology, Transplant International and Food Research International.
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.