Maik Renner

2.4k citations
32 papers · 788 · h-index 18

Impact in

Papers in

    • Climate variability and models 17
    • Plant Water Relations and Carbon Dynamics 16
    • Atmospheric aerosols and clouds 3
    • Climate Change and Geoengineering 3
    • Meteorological Phenomena and Simulations 8

Maik Renner

32 papers receiving 773 citations

Peers

Maik Renner
Comparison fields: 5 of 54
  • Global and Planetary Change 648
  • Water Science and Technology 379
  • Atmospheric Science 333
  • Environmental Engineering 135
  • Soil Science 31
Replace Irina Krasovskaia with:
Irina Krasovskaia Norway
Robert Monjo Spain
A. Ershadi Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Maik Renner

Since Specialization
Citations

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

Fields of papers citing papers by Maik Renner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maik Renner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maik Renner Line = papers co-authored together Maik Renner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201270
2 200969
3 200958
4 201351
5 201450
6 201349
7 201248
8 201444
9 201643
10 201935
11 201435
12 201531
13 201927
14 201726
15 201126
16 202020
17 201320
18 201918
19 201813
20 201911

About Maik Renner

Maik Renner is a scholar working on Global and Planetary Change, Atmospheric Science, Water Science and Technology, Artificial Intelligence and Astronomy and Astrophysics, having authored 32 papers that have together received 788 indexed citations. Recurring topics across this work include Climate variability and models (17 papers), Plant Water Relations and Carbon Dynamics (16 papers), Hydrology and Watershed Management Studies (12 papers), Meteorological Phenomena and Simulations (8 papers), Solar Radiation and Photovoltaics (4 papers), Atmospheric aerosols and clouds (3 papers), Climate Change and Geoengineering (3 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). The work is most often cited by research in Global and Planetary Change (648 citations), Water Science and Technology (379 citations), Atmospheric Science (333 citations), Environmental Engineering (135 citations) and Soil Science (31 citations). Maik Renner has collaborated with scholars based in Germany, Netherlands and Luxembourg. Frequent co-authors include Axel Kleidon, Christian Bernhofer, Ralf Seppelt, Eric Sprokkereef, Micha Werner, Philipp Porada, Paolo Reggiani, Albrecht Weerts, Pieter van Gelder and Kai Schwärzel. Their work appears in journals such as Hydrology and earth system sciences, Geophysical Research Letters, Journal of Hydrology, Earth System Dynamics 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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