Stefan Lüdtke

739 total citations
24 papers, 428 citations indexed

About

Stefan Lüdtke is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Stefan Lüdtke has authored 24 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 12 papers in Water Science and Technology and 4 papers in Atmospheric Science. Recurrent topics in Stefan Lüdtke's work include Flood Risk Assessment and Management (14 papers), Hydrology and Watershed Management Studies (12 papers) and Hydrology and Drought Analysis (9 papers). Stefan Lüdtke is often cited by papers focused on Flood Risk Assessment and Management (14 papers), Hydrology and Watershed Management Studies (12 papers) and Hydrology and Drought Analysis (9 papers). Stefan Lüdtke collaborates with scholars based in Germany, Italy and United States. Stefan Lüdtke's co-authors include Kai Schröter, Heidi Kreibich, Bruno Merz, Laurens M. Bouwer, Dennis Wagenaar, Nivedita Sairam, Nguyễn Viết Dũng, Manuela Nied, Max Steinhausen and Claus Nagel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Earth and Planetary Science Letters.

In The Last Decade

Stefan Lüdtke

21 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Lüdtke Germany 11 323 193 145 65 40 24 428
Frances V. Davenport United States 8 344 1.1× 134 0.7× 202 1.4× 63 1.0× 30 0.8× 13 488
Agnieszka Rutkowska Poland 14 274 0.8× 210 1.1× 102 0.7× 88 1.4× 15 0.4× 37 433
Brianne Smith United States 12 374 1.2× 195 1.0× 152 1.0× 180 2.8× 23 0.6× 15 463
Paola Allamano Italy 12 258 0.8× 179 0.9× 198 1.4× 104 1.6× 17 0.4× 20 454
Mohit Prakash Mohanty India 14 589 1.8× 300 1.6× 168 1.2× 120 1.8× 50 1.3× 34 657
Chen Ningsheng China 7 379 1.2× 168 0.9× 97 0.7× 141 2.2× 29 0.7× 18 485
Manoranjan Muthusamy United Kingdom 11 292 0.9× 233 1.2× 95 0.7× 172 2.6× 58 1.4× 16 473
Bazel Al-Shaibah China 10 376 1.2× 129 0.7× 94 0.6× 125 1.9× 77 1.9× 12 456
Simon Moulds United Kingdom 13 271 0.8× 160 0.8× 120 0.8× 122 1.9× 36 0.9× 31 505
Dinh Kha Dang Vietnam 11 311 1.0× 199 1.0× 104 0.7× 111 1.7× 16 0.4× 32 440

Countries citing papers authored by Stefan Lüdtke

Since Specialization
Citations

This map shows the geographic impact of Stefan Lüdtke'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 Stefan Lüdtke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Lüdtke more than expected).

Fields of papers citing papers by Stefan Lüdtke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Lüdtke. 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 Stefan Lüdtke. The network helps show where Stefan Lüdtke may publish in the future.

Co-authorship network of co-authors of Stefan Lüdtke

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Lüdtke. A scholar is included among the top collaborators of Stefan Lüdtke 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 Stefan Lüdtke. Stefan Lüdtke 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.
Lüdtke, Stefan, et al.. (2025). Age prediction of hematoma using hyperspectral imaging (HSI). Forensic Science Medicine and Pathology. 21(4). 1699–1708.
2.
Lüdtke, Stefan, et al.. (2024). Explaining neural networks without access to training data. Machine Learning. 113(6). 3633–3652. 1 indexed citations
3.
He, Yi, et al.. (2023). Online Random Feature Forests for Learning in Varying Feature Spaces. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4587–4595. 5 indexed citations
4.
Steinhausen, Max, Dominik Paprotny, Francesco Dottori, et al.. (2022). Drivers of future fluvial flood risk change for residential buildings in Europe. Global Environmental Change. 76. 102559–102559. 32 indexed citations
5.
Steinhausen, Max, Kai Schröter, Stefan Lüdtke, et al.. (2021). Drivers of future flood risk change for residential buildings in Europe. 1 indexed citations
6.
Schröter, Kai, Max Steinhausen, Michel Wortmann, et al.. (2021). Current and future flood risk in the Danube region using an open loss modelling framework. null–null. 2 indexed citations
7.
Schröter, Kai, Stefan Lüdtke, Daniel Eggert, Heidi Kreibich, & Bruno Merz. (2021). Data integration for rapid flood mapping and impact assessment . null–null. 1 indexed citations
8.
Sairam, Nivedita, Tobias Sieg, Patric Kellermann, et al.. (2021). Process‐Based Flood Risk Assessment for Germany. Earth s Future. 9(10). 21 indexed citations
9.
Schmidt, Amanda H., Stefan Lüdtke, & Christoff Andermann. (2020). Multiple measures of monsoon-controlled water storage in Asia. Earth and Planetary Science Letters. 546. 116415–116415. 10 indexed citations
10.
Lüdtke, Stefan, Max Steinhausen, Kai Schröter, A.R. Figueiredo, & Heidi Kreibich. (2019). Pan-European probabilistic flood loss data for residential buildings. 1 indexed citations
11.
Lüdtke, Stefan, et al.. (2019). A Consistent Approach for Probabilistic Residential Flood Loss Modeling in Europe. Water Resources Research. 55(12). 10616–10635. 27 indexed citations
12.
Baroni, Gabriele, Jon Hillier, Stefan Lüdtke, et al.. (2018). Cool Farm Tool Water: A global on-line tool to assess water use in crop production. Journal of Cleaner Production. 207. 1163–1179. 23 indexed citations
13.
Schröter, Kai, Stefan Lüdtke, Richard Redweik, et al.. (2018). Flood loss estimation using 3D city models and remote sensing data. Environmental Modelling & Software. 105. 118–131. 57 indexed citations
14.
Wagenaar, Dennis, Stefan Lüdtke, Kai Schröter, Laurens M. Bouwer, & Heidi Kreibich. (2018). Regional and Temporal Transferability of Multivariable Flood Damage Models. Water Resources Research. 54(5). 3688–3703. 71 indexed citations
15.
Nied, Manuela, Kai Schröter, Stefan Lüdtke, Nguyễn Viết Dũng, & Bruno Merz. (2016). What are the hydro-meteorological controls on flood characteristics?. Journal of Hydrology. 545. 310–326. 46 indexed citations
16.
Schröter, Kai, Stefan Lüdtke, Kristin Vogel, Heidi Kreibich, & Bruno Merz. (2016). Tracing the value of data for flood loss modelling. SHILAP Revista de lepidopterología. 7. 5005–5005. 8 indexed citations
17.
Schröter, Kai, Richard Redweik, Stefan Lüdtke, et al.. (2016). 3D-city Flood Damage Module prototype implementation. Publication Database GFZ (GFZ German Research Centre for Geosciences). 1 indexed citations
18.
Гафуров, Аброр, Stefan Lüdtke, Katy Unger‐Shayesteh, et al.. (2016). MODSNOW-Tool: an operational tool for daily snow cover monitoring using MODIS data. Environmental Earth Sciences. 75(14). 31 indexed citations
19.
Wattenbach, M., et al.. (2015). Uncertainties in City Greenhouse Gas Inventories. Energy Procedia. 76. 388–397. 8 indexed citations
20.
Lüdtke, Stefan, et al.. (2014). Reducing equifinality of hydrological models by integrating Functional Streamflow Disaggregation. Publication Database GFZ (GFZ German Research Centre for Geosciences). 15631. 1 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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