Svenja Fischer

1.1k total citations
39 papers, 406 citations indexed

About

Svenja Fischer is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Svenja Fischer has authored 39 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Global and Planetary Change, 22 papers in Water Science and Technology and 6 papers in Atmospheric Science. Recurrent topics in Svenja Fischer's work include Hydrology and Drought Analysis (31 papers), Hydrology and Watershed Management Studies (22 papers) and Climate variability and models (17 papers). Svenja Fischer is often cited by papers focused on Hydrology and Drought Analysis (31 papers), Hydrology and Watershed Management Studies (22 papers) and Climate variability and models (17 papers). Svenja Fischer collaborates with scholars based in Germany, Austria and Netherlands. Svenja Fischer's co-authors include Andreas Schumann, Günter Blöschl, David Lun, Alberto Viglione, Manuela I. Brunner, Luzie Wietzke, Björn Guse, Sergiy Vorogushyn, Bruno Merz and Elena Macdonald and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

In The Last Decade

Svenja Fischer

32 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Svenja Fischer Germany 11 340 254 64 42 18 39 406
Enrica Bellone United Kingdom 9 301 0.9× 81 0.3× 216 3.4× 53 1.3× 22 1.2× 12 386
Fatih Dikbaş Türkiye 9 255 0.8× 86 0.3× 59 0.9× 145 3.5× 8 0.4× 21 366
Valerio Lorini Italy 7 243 0.7× 230 0.9× 89 1.4× 60 1.4× 5 0.3× 16 377
Daniel Werner Kull United States 9 224 0.7× 130 0.5× 69 1.1× 30 0.7× 31 1.7× 21 348
W. Feluch Poland 7 354 1.0× 218 0.9× 70 1.1× 49 1.2× 14 0.8× 11 413
Anca Crăciun Romania 10 253 0.7× 113 0.4× 46 0.7× 92 2.2× 9 0.5× 11 323
Bastian Klein Germany 10 285 0.8× 224 0.9× 67 1.0× 80 1.9× 9 0.5× 20 361
Cameron Bracken United States 8 276 0.8× 143 0.6× 125 2.0× 46 1.1× 9 0.5× 20 341
Michel Slivitzky Canada 9 232 0.7× 165 0.6× 130 2.0× 41 1.0× 5 0.3× 21 366
Emir Zelenhasić Serbia 5 462 1.4× 253 1.0× 57 0.9× 39 0.9× 12 0.7× 7 517

Countries citing papers authored by Svenja Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Svenja Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Svenja Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of Svenja Fischer. A scholar is included among the top collaborators of Svenja Fischer 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 Svenja Fischer. Svenja Fischer 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.
Fischer, Svenja, et al.. (2025). CAMELS-NZ: hydrometeorological time series and landscape attributes for New Zealand. Earth system science data. 17(11). 5745–5760.
2.
Fischer, Svenja, et al.. (2025). Regional flood frequency analysis for hydrologically diverse regions in New Zealand. Australasian Journal of Water Resources. 29(2). 135–150.
3.
Fischer, Svenja, Markus Pahlow, & Shailesh Kumar Singh. (2024). Impact of catchment and climate attributes on flood generating processes and their effect on flood statistics. Journal of Hydrology. 646. 132361–132361. 2 indexed citations
4.
Fischer, Svenja. (2024). Incorporating historical flood events in type-based statistics. Journal of Hydrology. 636. 131289–131289. 1 indexed citations
5.
Fischer, Svenja & Andreas Schumann. (2024). Temporal changes in the frequency of flood types and their impact on flood statistics. SHILAP Revista de lepidopterología. 22. 100171–100171. 5 indexed citations
6.
MacPherson, Leigh R., Arne Arns, Svenja Fischer, Fernando J. Méndez, & Jürgen Jensen. (2023). Bayesian extreme value analysis of extreme sea levels along the German Baltic coast using historical information. Natural hazards and earth system sciences. 23(12). 3685–3701. 6 indexed citations
7.
Fischer, Svenja & Andreas Schumann. (2023). Generation of type-specific synthetic design flood hydrographs. Hydrological Sciences Journal. 68(7). 982–997.
8.
Fischer, Svenja & Andreas Schumann. (2023). Type-Based Flood Statistics. 5 indexed citations
9.
Fischer, Svenja, et al.. (2023). Multivariate motion patterns and applications to rainfall radar data. Stochastic Environmental Research and Risk Assessment. 38(4). 1235–1249.
10.
Brunner, Manuela I. & Svenja Fischer. (2022). Snow-influenced floods are more strongly connected in space than purely rainfall-driven floods. Environmental Research Letters. 17(10). 104038–104038. 23 indexed citations
11.
Merz, Bruno, Stefano Basso, Svenja Fischer, et al.. (2022). Understanding Heavy Tails of Flood Peak Distributions. Water Resources Research. 58(6). 47 indexed citations
12.
Fischer, Svenja, David Lun, Andreas Schumann, & Günter Blöschl. (2022). Detecting flood-type-specific flood-rich and flood-poor periods in peaks-over-threshold series with application to Bavaria (Germany). Stochastic Environmental Research and Risk Assessment. 37(4). 1395–1413. 7 indexed citations
13.
Fischer, Svenja, et al.. (2022). Generalized ordinal patterns allowing for ties and their applications in hydrology. Computational Statistics & Data Analysis. 171. 107472–107472. 9 indexed citations
14.
Fischer, Svenja & Andreas Schumann. (2021). Regionalisation of flood frequencies based on flood type-specific mixture distributions. SHILAP Revista de lepidopterología. 13. 100107–100107. 6 indexed citations
15.
Fischer, Svenja, et al.. (2020). The use of maximum entropy to increase the informational content of hydrological networks by additional gauges. Hydrological Sciences Journal. 65(13). 2274–2285. 2 indexed citations
16.
Fischer, Svenja, et al.. (2019). Timescale-based flood typing to estimate temporal changes in flood frequencies. Hydrological Sciences Journal. 64(15). 1867–1892. 31 indexed citations
17.
Fischer, Svenja. (2018). A seasonal mixed-POT model to estimate high flood quantiles from different event types and seasons. Journal of Applied Statistics. 45(15). 2831–2847. 32 indexed citations
18.
Fischer, Svenja, et al.. (2016). Characterisation of seasonal flood types according to timescales in mixed probability distributions. Journal of Hydrology. 539. 38–56. 44 indexed citations
19.
Fischer, Svenja & Andreas Schumann. (2015). Robust flood statistics: comparison of peak over threshold approaches based on monthly maxima and TL-moments. Hydrological Sciences Journal. 61(3). 457–470. 24 indexed citations
20.
Fischer, Svenja & Andreas Schumann. (2014). Comparison between classical annual maxima and peak over threshold approach concerning robustness. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Enrica Bellone Breakdown of academic impact, for papers by Fatih Dikbaş Breakdown of academic impact, for papers by Valerio Lorini Breakdown of academic impact, for papers by Daniel Werner Kull Breakdown of academic impact, for papers by W. Feluch Breakdown of academic impact, for papers by Anca Crăciun Breakdown of academic impact, for papers by Bastian Klein Breakdown of academic impact, for papers by Cameron Bracken Breakdown of academic impact, for papers by Michel Slivitzky Breakdown of academic impact, for papers by Emir Zelenhasić
Rankless by CCL
2026