Christian Chwala

1.3k total citations
46 papers, 678 citations indexed

About

Christian Chwala is a scholar working on Atmospheric Science, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Christian Chwala has authored 46 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atmospheric Science, 21 papers in Environmental Engineering and 14 papers in Aerospace Engineering. Recurrent topics in Christian Chwala's work include Precipitation Measurement and Analysis (39 papers), Meteorological Phenomena and Simulations (23 papers) and Soil Moisture and Remote Sensing (20 papers). Christian Chwala is often cited by papers focused on Precipitation Measurement and Analysis (39 papers), Meteorological Phenomena and Simulations (23 papers) and Soil Moisture and Remote Sensing (20 papers). Christian Chwala collaborates with scholars based in Germany, Burkina Faso and Israel. Christian Chwala's co-authors include Harald Kunstmann, Uwe Siart, Thomas F. Eibert, András Bàrdossy, Wei Qiu, Benjamin Fersch, Pinhas Alpert, Hagit Messer, Gerhard Smiatek and François Zougmoré and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Christian Chwala

41 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Chwala Germany 14 610 348 231 162 87 46 678
Cécile Mallet France 15 421 0.7× 169 0.5× 105 0.5× 318 2.0× 44 0.5× 45 586
Xichuan Liu China 12 377 0.6× 197 0.6× 99 0.4× 172 1.1× 34 0.4× 59 480
Thomas N. Nipen Norway 10 411 0.7× 206 0.6× 28 0.1× 350 2.2× 75 0.9× 25 585
Noam David United States 11 231 0.4× 130 0.4× 150 0.6× 93 0.6× 51 0.6× 21 321
Shinsuke Satoh Japan 13 468 0.8× 119 0.3× 62 0.3× 284 1.8× 14 0.2× 42 555
Martin Dörenkämper Germany 14 341 0.6× 423 1.2× 547 2.4× 166 1.0× 135 1.6× 40 782
John Manobianco United States 14 375 0.6× 87 0.3× 64 0.3× 308 1.9× 70 0.8× 33 481
Nitin Bharadwaj United States 14 549 0.9× 147 0.4× 84 0.4× 385 2.4× 15 0.2× 52 630
Antonio R. Segales United States 9 159 0.3× 133 0.4× 152 0.7× 130 0.8× 17 0.2× 20 311
Tristan J. Shepherd United States 13 176 0.3× 171 0.5× 309 1.3× 115 0.7× 124 1.4× 23 443

Countries citing papers authored by Christian Chwala

Since Specialization
Citations

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

Fields of papers citing papers by Christian Chwala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Chwala

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Chwala. A scholar is included among the top collaborators of Christian Chwala 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 Christian Chwala. Christian Chwala 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.
Andersson, Jafet, et al.. (2025). Combining commercial microwave links and weather radar for classification of dry snow and rainfall. Atmospheric measurement techniques. 18(10). 2279–2293. 1 indexed citations
2.
Chwala, Christian, et al.. (2025). Electromagnetic Water Drop Model for Wet Antenna Attenuation Based on Near-Field Measurements. IEEE Transactions on Antennas and Propagation. 73(11). 9355–9364.
3.
Fencl, Martin, Vojtěch Bareš, Jonatan Ostrometzky, et al.. (2025). A New Initiative to Facilitate the Global Collection of Microwave Link Data and Its Use in Hydrometeorology. Bulletin of the American Meteorological Society. 106(3). E438–E440.
4.
Chwala, Christian, et al.. (2025). Frequency-Dependent Variations of the Antenna Reflection Coefficient Due to Different Wetness Conditions on the Antenna Radome. Advances in radio science. 23. 13–19. 2 indexed citations
5.
Wagner, Andreas, et al.. (2024). Improved rain event detection in commercial microwave link time series via combination with MSG SEVIRI data. Atmospheric measurement techniques. 17(7). 2165–2182. 1 indexed citations
6.
Chwala, Christian, et al.. (2024). Technical note: A simple feedforward artificial neural network for high-temporal-resolution rain event detection using signal attenuation from commercial microwave links. Hydrology and earth system sciences. 28(23). 5163–5171. 2 indexed citations
7.
8.
Kunstmann, Harald, et al.. (2023). spateGAN: Spatio‐Temporal Downscaling of Rainfall Fields Using a cGAN Approach. Earth and Space Science. 10(10). 13 indexed citations
9.
Chwala, Christian, et al.. (2023). Missing Rainfall Extremes in Commercial Microwave Link Data Due To Complete Loss of Signal. Earth and Space Science. 10(2). 2 indexed citations
10.
Shadeed, Sameer, et al.. (2022). Comparative analysis of interpolation methods for rainfall mapping in the Faria catchment, Palestine. SHILAP Revista de lepidopterología. 36(1). 1–20. 4 indexed citations
11.
Rostkier‐Edelstein, Dorita, et al.. (2022). Challenges in Diurnal Humidity Analysis from Cellular Microwave Links (CML) over Germany. Remote Sensing. 14(10). 2353–2353. 6 indexed citations
12.
13.
Seidel, Jochen, et al.. (2021). Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales. Journal of Hydrology Regional Studies. 37. 100883–100883. 28 indexed citations
14.
Chwala, Christian, et al.. (2020). Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data. Hydrology and earth system sciences. 24(6). 2931–2950. 60 indexed citations
15.
Chwala, Christian, et al.. (2020). Rain event detection in commercial microwave link attenuation data using convolutional neural networks. Atmospheric measurement techniques. 13(7). 3835–3853. 50 indexed citations
16.
Chwala, Christian, Gerhard Smiatek, & Harald Kunstmann. (2018). Real-time country-wide rainfall derived from a large network of commercial microwave links in Germany. EGU General Assembly Conference Abstracts. 10096. 1 indexed citations
17.
Chwala, Christian, et al.. (2016). Real-time data acquisition of commercial microwave link networks for hydrometeorological applications. Atmospheric measurement techniques. 9(3). 991–999. 58 indexed citations
18.
Chwala, Christian, et al.. (2012). Precipitation observation using microwave backhaul links in the alpine and pre-alpine region of Southern Germany. Hydrology and earth system sciences. 16(8). 2647–2661. 92 indexed citations
19.
Siart, Uwe, et al.. (2011). Dynamic modelling of atmospheric microwave transmission for precipitation quantification using mie scattering. OPUS (Augsburg University). 3380–3383. 3 indexed citations
20.
Kunstmann, Harald, et al.. (2010). Precipitation quantification by cellular-network backhaul-link signal attenuation and a monostatic atmospheric transmission experiment. European geosciences union general assembly. 9444. 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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Rankless by CCL
2026