Maximilian Maahn

2.9k total citations
43 papers, 1.2k citations indexed

About

Maximilian Maahn is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, Maximilian Maahn has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atmospheric Science, 36 papers in Global and Planetary Change and 7 papers in Earth-Surface Processes. Recurrent topics in Maximilian Maahn's work include Atmospheric aerosols and clouds (35 papers), Meteorological Phenomena and Simulations (22 papers) and Precipitation Measurement and Analysis (19 papers). Maximilian Maahn is often cited by papers focused on Atmospheric aerosols and clouds (35 papers), Meteorological Phenomena and Simulations (22 papers) and Precipitation Measurement and Analysis (19 papers). Maximilian Maahn collaborates with scholars based in Germany, United States and Canada. Maximilian Maahn's co-authors include Pavlos Kollias, Stefan Kneifel, Gijs de Boer, Ulrich Löhnert, Susanne Crewell, Jessie M. Creamean, Irina Gorodetskaya, Nicole Van Lipzig, Clemens Simmer and Sergey Y. Matrosov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Maximilian Maahn

39 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maximilian Maahn 1.1k 831 104 74 74 43 1.2k
F. C. Bosveld 420 0.4× 389 0.5× 25 0.2× 137 1.9× 33 0.4× 15 559
Roger F. Reinking 714 0.6× 570 0.7× 102 1.0× 124 1.7× 145 2.0× 45 807
Maxi Boettcher 904 0.8× 845 1.0× 23 0.2× 42 0.6× 24 0.3× 31 955
Zhaojun Zheng 459 0.4× 277 0.3× 10 0.1× 97 1.3× 97 1.3× 51 587
J. L. Schramm 1.7k 1.5× 1.1k 1.3× 41 0.4× 26 0.4× 15 0.2× 15 1.8k
Jacopo Grazioli 544 0.5× 325 0.4× 14 0.1× 119 1.6× 34 0.5× 33 649
Kohei Aranami 751 0.7× 651 0.8× 16 0.2× 103 1.4× 38 0.5× 9 866
Chawn Harlow 466 0.4× 296 0.4× 19 0.2× 116 1.6× 30 0.4× 30 556
Jörg Hartmann 826 0.7× 556 0.7× 22 0.2× 121 1.6× 40 0.5× 56 963
Ralph R. Burton 648 0.6× 637 0.8× 92 0.9× 89 1.2× 47 0.6× 19 766

Countries citing papers authored by Maximilian Maahn

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Maahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Maahn

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Maahn. A scholar is included among the top collaborators of Maximilian Maahn 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 Maximilian Maahn. Maximilian Maahn 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
2.
Moser, Manuel, et al.. (2024). Quantifying riming from airborne data during the HALO-(AC) 3 campaign. Atmospheric measurement techniques. 17(5). 1475–1495. 8 indexed citations
3.
Moser, Manuel, et al.. (2024). How does riming influence the observed spatial variability of ice water in mixed-phase clouds?. Atmospheric chemistry and physics. 24(24). 13935–13960. 2 indexed citations
4.
Lee, Junghwa, Patric Seifert, Tempei Hashino, et al.. (2024). Simulations of the impact of cloud condensation nuclei and ice-nucleating particles perturbations on the microphysics and radar reflectivity factor of stratiform mixed-phase clouds. Atmospheric chemistry and physics. 24(10). 5737–5756. 1 indexed citations
5.
Battaglia, Alessandro, et al.. (2023). Impact of Crosstalk on Reflectivity and Doppler Measurements for the WIVERN Polarization Diversity Doppler Radar. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 7 indexed citations
6.
Kalesse‐Los, Heike, et al.. (2022). Identifying cloud droplets beyond lidar attenuation from vertically pointing cloud radar observations using artificial neural networks. Atmospheric measurement techniques. 15(18). 5343–5366. 15 indexed citations
7.
Vogl, Teresa, et al.. (2022). Using artificial neural networks to predict riming from Doppler cloud radar observations. Atmospheric measurement techniques. 15(2). 365–381. 18 indexed citations
8.
Maahn, Maximilian, Martin Radenz, Christopher J. Cox, et al.. (2021). Measuring snowfall properties with the Video In Situ Snowfall Sensor during MOSAiC. 1 indexed citations
10.
Mech, Mario, Maximilian Maahn, Stefan Kneifel, et al.. (2020). PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere. Geoscientific model development. 13(9). 4229–4251. 47 indexed citations
11.
Mech, Mario, Maximilian Maahn, Davide Ori, & Emiliano Orlandi. (2019). PAMTRA: Passive and Active Microwave TRAnsfer tool v1.0. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
12.
Maahn, Maximilian, Fabian Hoffmann, Matthew D. Shupe, et al.. (2019). Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration?. Atmospheric measurement techniques. 12(6). 3151–3171. 12 indexed citations
13.
Creamean, Jessie M., Rachel M. Kirpes, Kerri A. Pratt, et al.. (2018). Marine and terrestrial influences on ice nucleating particles during continuous springtime measurements in an Arctic oilfield location. Atmospheric chemistry and physics. 18(24). 18023–18042. 84 indexed citations
14.
Solomon, Amy, Gijs de Boer, Jessie M. Creamean, et al.. (2018). The relative impact of cloud condensation nuclei and ice nucleating particle concentrations on phase partitioning in Arctic mixed-phase stratocumulus clouds. Atmospheric chemistry and physics. 18(23). 17047–17059. 62 indexed citations
15.
Creamean, Jessie M., Maximilian Maahn, Gijs de Boer, et al.. (2018). The influence of local oil exploration and regional wildfires on summer 2015 aerosol over the North Slope of Alaska. Atmospheric chemistry and physics. 18(2). 555–570. 25 indexed citations
16.
Acquistapace, Claudia, Stefan Kneifel, Ulrich Löhnert, et al.. (2017). Optimizing observations of drizzle onset with millimeter-wavelength radars. Atmospheric measurement techniques. 10(5). 1783–1802. 18 indexed citations
17.
Maahn, Maximilian, Gijs de Boer, Jessie M. Creamean, et al.. (2017). The observed influence of local anthropogenic pollution on northern Alaskan cloud properties. Atmospheric chemistry and physics. 17(23). 14709–14726. 28 indexed citations
18.
Creamean, Jessie M., Maximilian Maahn, Gijs de Boer, et al.. (2017). The influence of local oil exploration, regional wildfires, and longrange transport on summer 2015 aerosol over the North Slope ofAlaska. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
19.
Gorodetskaya, Irina, Stefan Kneifel, Maximilian Maahn, et al.. (2015). Cloud and precipitation properties from ground-based remote-sensing instruments in East Antarctica. ˜The œcryosphere. 9(1). 285–304. 71 indexed citations
20.
Maahn, Maximilian & Pavlos Kollias. (2012). Improved Micro Rain Radar snow measurements using Doppler spectra post-processing. Atmospheric measurement techniques. 5(11). 2661–2673. 144 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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