Andreas Kron

516 total citations
9 papers, 357 citations indexed

About

Andreas Kron is a scholar working on Global and Planetary Change, Water Science and Technology and Ecology. According to data from OpenAlex, Andreas Kron has authored 9 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 5 papers in Water Science and Technology and 2 papers in Ecology. Recurrent topics in Andreas Kron's work include Flood Risk Assessment and Management (5 papers), Hydrology and Watershed Management Studies (5 papers) and Meteorological Phenomena and Simulations (2 papers). Andreas Kron is often cited by papers focused on Flood Risk Assessment and Management (5 papers), Hydrology and Watershed Management Studies (5 papers) and Meteorological Phenomena and Simulations (2 papers). Andreas Kron collaborates with scholars based in Germany and Czechia. Andreas Kron's co-authors include Peter Oberle, Annegret H. Thieken, Franz Nestmann, Bruno Büchele, J. Ihringer, Bruno Merz, Heidi Kreibich, James Daniell, Michael Kunz and Susanna Mohr and has published in prestigious journals such as Natural hazards and earth system sciences, Journal of Flood Risk Management and WASSERWIRTSCHAFT.

In The Last Decade

Andreas Kron

8 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Kron Germany 5 318 127 126 48 46 9 357
Bruno Büchele Germany 3 270 0.8× 72 0.6× 138 1.1× 34 0.7× 42 0.9× 3 321
Linda Speight United Kingdom 8 320 1.0× 142 1.1× 198 1.6× 110 2.3× 39 0.8× 24 421
Lea Dasallas South Korea 6 199 0.6× 162 1.3× 83 0.7× 23 0.5× 60 1.3× 9 322
Kimiteru Sado Japan 8 359 1.1× 115 0.9× 195 1.5× 103 2.1× 24 0.5× 19 421
Michael Cranston United Kingdom 10 340 1.1× 170 1.3× 260 2.1× 91 1.9× 25 0.5× 20 435
Francesca Carisi Italy 9 390 1.2× 199 1.6× 139 1.1× 36 0.8× 45 1.0× 16 440
Yus Budiyono Netherlands 3 192 0.6× 82 0.6× 49 0.4× 28 0.6× 65 1.4× 4 263
Christian Dobler Austria 7 290 0.9× 104 0.8× 246 2.0× 40 0.8× 20 0.4× 7 332
Iulii Didovets Germany 10 241 0.8× 81 0.6× 227 1.8× 37 0.8× 53 1.2× 22 359
T. Petrow Germany 5 439 1.4× 153 1.2× 124 1.0× 15 0.3× 213 4.6× 5 489

Countries citing papers authored by Andreas Kron

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Kron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Kron

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

All Works

9 of 9 papers shown
1.
Oberle, Peter, et al.. (2025). Analysis of the Utilization of Machine Learning to Map Flood Susceptibility. Journal of Flood Risk Management. 18(2). 8 indexed citations
2.
Oberle, Peter, et al.. (2023). On the Application of Machine Learning Into Flood Modeling: Data Consideration and Modeling Algorithm. SSRN Electronic Journal. 1 indexed citations
3.
Oberle, Peter, et al.. (2021). Diskussionsbeitrag zur Fließwider-standsparametrisierung zur Simulation der Oberflächenabflüsse bei Starkregen. WASSERWIRTSCHAFT. 111(4). 12–21. 2 indexed citations
4.
Kunz, Michael, Florian Ehmele, Susanna Mohr, et al.. (2016). Exceptional sequence of severe thunderstorms and related flash floods in May and June 2016 in Germany – Part 1: Meteorological background. Natural hazards and earth system sciences. 16(12). 2835–2850. 70 indexed citations
5.
Kron, Andreas, Franz Nestmann, Gerd Schädler, et al.. (2010). Operational flood management under large-scale extreme conditions, using the example of the Middle Elbe. Natural hazards and earth system sciences. 10(6). 1171–1181. 4 indexed citations
6.
Kron, Andreas, et al.. (2008). 1-D- / 2-D-gekoppelte Simulation von Hochwasserabflüssen an der mittleren Elbe. WASSERWIRTSCHAFT. 98(7-8). 46–50. 1 indexed citations
7.
Kron, Andreas. (2007). Mikroskalige Ermittlung potenzieller Hochwasserschäden zur Gefahren- und Risikoanalyse. Repository KITopen (Karlsruhe Institute of Technology). 1 indexed citations
8.
Büchele, Bruno, Heidi Kreibich, Andreas Kron, et al.. (2006). Flood-risk mapping: contributions towards an enhanced assessment of extreme events and associated risks. Natural hazards and earth system sciences. 6(4). 485–503. 256 indexed citations
9.
Müller, Matthias, et al.. (2006). CEDIM Risk Explorer – a map server solution in the project "Risk Map Germany". Natural hazards and earth system sciences. 6(5). 711–720. 14 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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