Maik Heistermann

3.0k total citations
58 papers, 1.8k citations indexed

About

Maik Heistermann is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Maik Heistermann has authored 58 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Global and Planetary Change, 30 papers in Atmospheric Science and 20 papers in Water Science and Technology. Recurrent topics in Maik Heistermann's work include Meteorological Phenomena and Simulations (23 papers), Precipitation Measurement and Analysis (21 papers) and Hydrology and Watershed Management Studies (19 papers). Maik Heistermann is often cited by papers focused on Meteorological Phenomena and Simulations (23 papers), Precipitation Measurement and Analysis (21 papers) and Hydrology and Watershed Management Studies (19 papers). Maik Heistermann collaborates with scholars based in Germany, Australia and Philippines. Maik Heistermann's co-authors include Georgy Ayzel, Axel Bronstert, Tobias Scheffer, Christoph Müller, Deborah Lawrence, Klaus Vormoor, Tanja Winterrath, David Kneis, Joseph Alcamo and Elke Stehfest and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Maik Heistermann

57 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maik Heistermann Germany 22 1.0k 906 480 448 123 58 1.8k
Shivam Tripathi India 19 1.1k 1.1× 624 0.7× 418 0.9× 502 1.1× 177 1.4× 60 1.7k
Dagang Wang China 27 1.5k 1.5× 882 1.0× 1.0k 2.1× 472 1.1× 254 2.1× 93 2.6k
Mauricio Zambrano‐Bigiarini Chile 19 1.4k 1.4× 1.2k 1.3× 470 1.0× 973 2.2× 197 1.6× 52 2.6k
Turgay Partal Türkiye 15 1.3k 1.3× 434 0.5× 971 2.0× 791 1.8× 154 1.3× 36 2.0k
Peng Ji China 19 1.1k 1.1× 452 0.5× 211 0.4× 387 0.9× 138 1.1× 62 1.6k
B.H.P. Maathuis Netherlands 18 783 0.8× 534 0.6× 312 0.7× 342 0.8× 310 2.5× 61 1.4k
Guangyuan Kan China 22 858 0.8× 312 0.3× 406 0.8× 554 1.2× 152 1.2× 54 1.3k
Yong Luo China 20 1.3k 1.2× 1.0k 1.1× 231 0.5× 255 0.6× 140 1.1× 78 1.9k
Laura Giustarini Luxembourg 19 1.5k 1.5× 748 0.8× 396 0.8× 736 1.6× 247 2.0× 43 1.8k
Kebiao Mao China 26 1.1k 1.1× 1.1k 1.2× 1.1k 2.3× 263 0.6× 280 2.3× 82 2.1k

Countries citing papers authored by Maik Heistermann

Since Specialization
Citations

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

Fields of papers citing papers by Maik Heistermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maik Heistermann

This figure shows the co-authorship network connecting the top 25 collaborators of Maik Heistermann. A scholar is included among the top collaborators of Maik Heistermann 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 Maik Heistermann. Maik Heistermann 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.
Francke, Till, Cosimo Brogi, Alby Duarte Rocha, et al.. (2025). Virtual Joint Field Campaign: a framework of synthetic landscapes to assess multiscale measurement methods of water storage. Geoscientific model development. 18(3). 819–842. 2 indexed citations
2.
Ayzel, Georgy & Maik Heistermann. (2025). Brief communication: Training of AI-based nowcasting models for rainfall early warning should take into account user requirements. Natural hazards and earth system sciences. 25(1). 41–47. 3 indexed citations
3.
Dũng, Nguyễn Viết, et al.. (2025). The ability of a stochastic regional weather generator to reproduce heavy-precipitation events across scales. Natural hazards and earth system sciences. 25(9). 3075–3086.
4.
Heistermann, Maik, et al.. (2024). Brief communication: Stay local or go global? On the construction of plausible counterfactual scenarios to assess flash flood hazards. Natural hazards and earth system sciences. 24(12). 4609–4615. 1 indexed citations
5.
Heistermann, Maik, et al.. (2024). A downward-counterfactual analysis of flash floods in Germany. Natural hazards and earth system sciences. 24(6). 2147–2164. 9 indexed citations
6.
Lengfeld, Katharina, et al.. (2023). Brief communication: On the extremeness of the July 2021 precipitation event in western Germany. Natural hazards and earth system sciences. 23(3). 1227–1232. 4 indexed citations
7.
Heistermann, Maik, Till Francke, Lena Scheiffele, et al.. (2023). Three years of soil moisture observations by a dense cosmic-ray neutron sensing cluster at an agricultural research site in north-east Germany. Earth system science data. 15(7). 3243–3262. 8 indexed citations
8.
Ayzel, Georgy, et al.. (2023). Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany. Natural hazards and earth system sciences. 23(2). 809–822. 21 indexed citations
9.
Heistermann, Maik, Heye Bogena, Till Francke, et al.. (2022). Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with roving and hydrogravimetry at the TERENO site Wüstebach. Earth system science data. 14(5). 2501–2519. 18 indexed citations
10.
Heistermann, Maik, et al.. (2022). A new index to quantify the extremeness of precipitation across scales. Natural hazards and earth system sciences. 22(8). 2791–2805. 5 indexed citations
11.
Heistermann, Maik, Till Francke, Martin Schrön, & Sascha E. Oswald. (2021). Spatio-temporal soil moisture retrieval at the catchment scale using a dense network of cosmic-ray neutron sensors. Hydrology and earth system sciences. 25(9). 4807–4824. 19 indexed citations
12.
Ayzel, Georgy, Tobias Scheffer, & Maik Heistermann. (2020). RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting. Geoscientific model development. 13(6). 2631–2644. 195 indexed citations
13.
Heistermann, Maik, et al.. (2020). Using ground radar overlaps to verify the retrieval of calibration bias estimates from spaceborne platforms. Atmospheric measurement techniques. 13(2). 645–659. 6 indexed citations
14.
Warren, Robert A., et al.. (2018). Enhancing the consistency of spaceborne and ground-based radar comparisons by using beam blockage fraction as a quality filter. Atmospheric measurement techniques. 11(9). 5223–5236. 19 indexed citations
15.
Warren, Robert A., et al.. (2018). Enhancing the consistency of spaceborne and ground-based radar comparisons by using quality filters. publish.UP (University of Potsdam). 2 indexed citations
16.
Heistermann, Maik, et al.. (2017). The sense and non-sense of plot-scale, catchment-scale, continental-scale and global-scale hydrological modelling. EGUGA. 3655. 1 indexed citations
17.
Heistermann, Maik. (2017). HESS Opinions: A planetary boundary on freshwater use is misleading. Hydrology and earth system sciences. 21(7). 3455–3461. 19 indexed citations
18.
19.
Heistermann, Maik, et al.. (2013). Technical Note: An open source library for processing weather radar data ( wradlib ). Hydrology and earth system sciences. 17(2). 863–871. 132 indexed citations
20.
Heistermann, Maik, et al.. (2012). wradlib - an Open Source Library for Weather Radar Data Processing. EGUGA. 10511. 2 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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