Andreas Wünsch

2.4k total citations · 1 hit paper
55 papers, 1.3k citations indexed

About

Andreas Wünsch is a scholar working on Surgery, Transplantation and Environmental Engineering. According to data from OpenAlex, Andreas Wünsch has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 20 papers in Transplantation and 14 papers in Environmental Engineering. Recurrent topics in Andreas Wünsch's work include Renal Transplantation Outcomes and Treatments (19 papers), Organ Transplantation Techniques and Outcomes (18 papers) and Hydrology and Watershed Management Studies (12 papers). Andreas Wünsch is often cited by papers focused on Renal Transplantation Outcomes and Treatments (19 papers), Organ Transplantation Techniques and Outcomes (18 papers) and Hydrology and Watershed Management Studies (12 papers). Andreas Wünsch collaborates with scholars based in Germany, France and Slovenia. Andreas Wünsch's co-authors include Tanja Liesch, Stefan Broda, Richard Viebahn, Peter Schenker, Peter P. Nawroth, Michael Boehme, W. Kübler, Thomas K. Nordt, Christoph Bode and Jens R. Allenberg and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Andreas Wünsch

47 papers receiving 1.3k citations

Hit Papers

Groundwater level forecasting with artificial neural netw... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andreas Wünsch Germany 17 440 386 307 244 199 55 1.3k
Wolfgang Schmid United States 15 291 0.7× 326 0.8× 62 0.2× 202 0.8× 39 0.2× 70 840
Carlos Alberto Nunes Cosenza Brazil 15 161 0.4× 67 0.2× 388 1.3× 73 0.3× 46 0.2× 72 1.1k
Akira Miyata Japan 27 257 0.6× 193 0.5× 211 0.7× 1.3k 5.4× 10 0.1× 143 3.1k
Florian Wagner Germany 26 282 0.6× 51 0.1× 867 2.8× 38 0.2× 46 0.2× 127 2.6k
Ikuo Takeda Japan 13 44 0.1× 205 0.5× 136 0.4× 54 0.2× 44 0.2× 76 1.0k
Qi Jiang China 28 703 1.6× 48 0.1× 74 0.2× 1.1k 4.3× 12 0.1× 72 3.6k
Avinash Agarwal India 13 180 0.4× 170 0.4× 50 0.2× 70 0.3× 20 0.1× 23 589
Christopher J. Peters United Kingdom 19 61 0.1× 112 0.3× 287 0.9× 15 0.1× 14 0.1× 73 1.2k
Xiaoye Liu China 23 606 1.4× 86 0.2× 98 0.3× 134 0.5× 2 0.0× 98 1.8k

Countries citing papers authored by Andreas Wünsch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Andreas Wünsch

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Wünsch. A scholar is included among the top collaborators of Andreas Wünsch 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 Andreas Wünsch. Andreas Wünsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wünsch, Andreas, Tanja Liesch, & Nico Goldscheider. (2024). Towards understanding the influence of seasons on low-groundwater periods based on explainable machine learning. Hydrology and earth system sciences. 28(9). 2167–2178. 4 indexed citations
2.
Deuerlein, Jochen, et al.. (2024). TwinOptPRO—Digital Platform for Online Pump Scheduling Optimization. SHILAP Revista de lepidopterología. 94–94. 1 indexed citations
4.
Wünsch, Andreas, et al.. (2023). Siemens NX für Fortgeschrittene ‒ kurz und bündig. 1 indexed citations
5.
Wünsch, Andreas, Tanja Liesch, Nataša Ravbar, et al.. (2022). Karst spring discharge modeling based on deep learning using spatially distributed input data. Hydrology and earth system sciences. 26(9). 2405–2430. 41 indexed citations
6.
Liesch, Tanja, et al.. (2022). Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods. Hydrology and earth system sciences. 26(15). 4033–4053. 10 indexed citations
7.
Wünsch, Andreas, Tanja Liesch, & Stefan Broda. (2021). 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). Hydrology and earth system sciences. 25(3). 1671–1687. 199 indexed citations breakdown →
8.
Liesch, Tanja, Andreas Abecker, Divas Karimanzira, et al.. (2021). 28. September - 2. Oktober 2020. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1069–1079. 1 indexed citations
9.
Wünsch, Andreas, et al.. (2021). Pneumothorax with Bullous Lesions as a Late Complication of Covid-19 Pneumonia: A Report on Two Clinical Cases. Journal of Emergency Medicine. 61(5). 581–586. 4 indexed citations
10.
Wünsch, Andreas, Tanja Liesch, & Stefan Broda. (2021). Feature-based Groundwater Hydrograph Clustering Using Unsupervised Self-Organizing Map-Ensembles. Water Resources Management. 36(1). 39–54. 24 indexed citations
11.
Wünsch, Andreas & Tanja Liesch. (2020). Entwicklung und Anwendung von Algorithmen zur Berechnung von Grundwasserständen an Referenzmessstellen auf Basis der Methode Künstlicher Neuronaler Netze : Abschlussbericht. Repository KITopen (Karlsruhe Institute of Technology). 1 indexed citations
12.
Zgoura, Panagiota, Felix S. Seibert, Adrian Doevelaar, et al.. (2020). Psychological Responses to the Coronavirus Disease 2019 Pandemic in Renal Transplant Recipients. Transplantation Proceedings. 52(9). 2671–2675. 2 indexed citations
13.
Zgoura, Panagiota, Frederic Bauer, Felix S. Seibert, et al.. (2020). Vaccination Against Urinary Tract Infection After Renal Transplantation. Transplantation Proceedings. 52(10). 3192–3196. 7 indexed citations
14.
Wünsch, Andreas, Tanja Liesch, & Stefan Broda. (2018). Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX). Journal of Hydrology. 567. 743–758. 170 indexed citations
15.
Proneth, Andrea, Andreas A. Schnitzbauer, Peter Schenker, et al.. (2018). Extended Pancreas Donor Program—The EXPAND Study. Transplantation. 102(8). 1330–1337. 22 indexed citations
16.
Kykalos, Stylianos, Andreas Wünsch, Thomas Klein, Richard Viebahn, & Peter Schenker. (2017). Successful Simultaneous Pancreas-Kidney Re-transplantation in a Highly Human Leukocyte Antigen–Sensitized Patient. Transplantation Proceedings. 49(7). 1652–1655. 2 indexed citations
18.
Schenker, Peter, Thibaut Klein, B. Krüger, et al.. (2009). Modified Release Tacrolimus in De Novo Immunosuppression After Simultaneous Pancreas–Kidney Transplantation—A First Single-Center Experience. Transplantation Proceedings. 41(6). 2573–2575. 6 indexed citations
19.
Rebmann, Vera, et al.. (2009). Soluble total human leukocyte antigen class I and human leukocyte antigen–G molecules in kidney and kidney/pancreas transplantation. Human Immunology. 70(12). 995–999. 30 indexed citations
20.
Schenker, Peter, Andreas Wünsch, M. Schæffer, et al.. (2008). Long-Term Results After Simultaneous Pancreas-Kidney Transplantation Using Donors Aged 45 Years or Older. Transplantation Proceedings. 40(4). 923–926. 28 indexed citations

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.

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