Maik Heistermann

3.0k citations
58 papers · 1.8k indexed · h-index 22
Topics
Meteorological Phenomena and Simulations (23 papers)Precipitation Measurement and Analysis (21 papers)Hydrology and Watershed Management Studies (19 papers)
Journals
SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentWater Resources Research

In The Last Decade

Maik Heistermann

57 papers receiving 1.7k citations

Peers

Maik Heistermann
Comparison fields: 5 of 89
  • Global and Planetary Change 1.0k
  • Atmospheric Science 906
  • Environmental Engineering 480
  • Water Science and Technology 448
  • Ecology 123
Replace Zhiyong Wu with:
Zhiyong Wu China
Shivam Tripathi India
Mauricio Zambrano‐Bigiarini Chile
B.H.P. Maathuis Netherlands
Dagang Wang China
Jianxiu Qiu China
J. T. Schoof United States
Guangyuan Kan China
Daniel Fiifi Tawia Hagan China
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Maik Heistermann relative to Zhiyong Wu China Zhiyong Wu's profile →
Citations per field
00.5×1.5×
Zhiyong Wu · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 3
3 0
4 1
5 9
6 4
7 8
8 21
9 18
10 5
11 19
12 195
13 6
14 19
15 2
16
The sense and non-sense of plot-scale, catchment-scale, continental-scale and global-scale hydrological modelling
1
17 19
18 5
19 132
20
wradlib - an Open Source Library for Weather Radar Data Processing
2

About Maik Heistermann

Maik Heistermann is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (23 papers), Precipitation Measurement and Analysis (21 papers) and Hydrology and Watershed Management Studies (19 papers). The work is most often cited by research in Atmospheric Science (906 citations), Global and Planetary Change (1.0k citations) and Environmental Engineering (480 citations). Maik Heistermann has collaborated with scholars based in Germany, Australia and Philippines. Frequent co-authors include Georgy Ayzel, Axel Bronstert, Tobias Scheffer, Christoph Müller, Deborah Lawrence, Klaus Vormoor, Tanja Winterrath, David Kneis, Joseph Alcamo and Elke Stehfest. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Resources Research.

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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