Martin Fencl

544 total citations
27 papers, 294 citations indexed

About

Martin Fencl is a scholar working on Atmospheric Science, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Martin Fencl has authored 27 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atmospheric Science, 17 papers in Environmental Engineering and 13 papers in Aerospace Engineering. Recurrent topics in Martin Fencl's work include Precipitation Measurement and Analysis (25 papers), Soil Moisture and Remote Sensing (16 papers) and Radio Wave Propagation Studies (13 papers). Martin Fencl is often cited by papers focused on Precipitation Measurement and Analysis (25 papers), Soil Moisture and Remote Sensing (16 papers) and Radio Wave Propagation Studies (13 papers). Martin Fencl collaborates with scholars based in Czechia, Switzerland and Germany. Martin Fencl's co-authors include Vojtěch Bareš, Jörg Rieckermann, Pavel Valtr, Michal Dohnal, Marc Schleiss, Martin Grábner, Morten Borup, Christian Chwala, Peter Steen Mikkelsen and Morten Grum and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Hydrology and Journal of Environmental Management.

In The Last Decade

Martin Fencl

22 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Fencl Czechia 9 270 178 98 57 50 27 294
Reza Naderpour Switzerland 13 269 1.0× 235 1.3× 80 0.8× 13 0.2× 6 0.1× 24 414
Ehsan Rabiei Germany 5 214 0.8× 85 0.5× 12 0.1× 132 2.3× 69 1.4× 7 251
Stephan T. Kral Norway 8 100 0.4× 79 0.4× 82 0.8× 71 1.2× 4 0.1× 18 183
Alexander Ryzhkov United States 8 306 1.1× 143 0.8× 18 0.2× 115 2.0× 7 0.1× 17 353
Gary Hodges United States 4 174 0.6× 62 0.3× 22 0.2× 176 3.1× 4 0.1× 4 246
Jens Reimann Germany 9 46 0.2× 72 0.4× 123 1.3× 19 0.3× 3 0.1× 37 177
Kauzar Saleh France 7 283 1.0× 308 1.7× 52 0.5× 15 0.3× 11 0.2× 8 313
John Singer Germany 8 91 0.3× 26 0.1× 90 0.9× 20 0.4× 5 0.1× 21 190
Kai Sattler Denmark 5 77 0.3× 24 0.1× 15 0.2× 59 1.0× 8 0.2× 12 131
Carsten Jahn Germany 7 197 0.7× 100 0.6× 82 0.8× 218 3.8× 1 0.0× 21 419

Countries citing papers authored by Martin Fencl

Since Specialization
Citations

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

Fields of papers citing papers by Martin Fencl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Fencl

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Fencl. A scholar is included among the top collaborators of Martin Fencl 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 Martin Fencl. Martin Fencl 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.
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.
2.
Fencl, Martin, et al.. (2025). Data-driven rainfall-runoff modeling in an urban catchment using microwave link attenuation data. Journal of Hydrology. 664. 134328–134328.
3.
Fencl, Martin, et al.. (2023). Evaluation of error components in rainfall retrieval from collocated commercial microwave links. Atmospheric measurement techniques. 16(16). 3865–3879.
4.
Fencl, Martin, et al.. (2023). Transboundary Rainfall Estimation Using Commercial Microwave Links. Earth and Space Science. 10(8). 8 indexed citations
5.
Fencl, Martin, Michal Dohnal, & Vojtěch Bareš. (2021). Retrieving Water Vapor From an E‐Band Microwave Link With an Empirical Model Not Requiring In Situ Calibration. Earth and Space Science. 8(11). 8 indexed citations
6.
Bareš, Vojtěch, Martin Fencl, Marc Schleiss, et al.. (2021). A year of attenuation data from a commercial dual-polarized duplex microwave link with concurrent disdrometer, rain gauge, and weather observations. Earth system science data. 13(8). 4219–4240. 6 indexed citations
7.
Fencl, Martin, et al.. (2021). Precipitation Estimates From Commercial Microwave Links: Practical Approaches to Wet-Antenna Correction. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–9. 17 indexed citations
8.
Fencl, Martin, Michal Dohnal, Pavel Valtr, Martin Grábner, & Vojtěch Bareš. (2020). Atmospheric observations with E-band microwave links – challenges and opportunities. Atmospheric measurement techniques. 13(12). 6559–6578. 31 indexed citations
9.
10.
Valtr, Pavel, Martin Fencl, & Vojtěch Bareš. (2019). Excess Attenuation Caused by Antenna Wetting of Terrestrial Microwave Links at 32 GHz. IEEE Antennas and Wireless Propagation Letters. 18(8). 1636–1640. 17 indexed citations
11.
Fencl, Martin & Vojtěch Bareš. (2019). Rainfall retrieval from E-band commercial microwave links. EGU General Assembly Conference Abstracts. 14956. 1 indexed citations
12.
Fencl, Martin, et al.. (2019). Commercial microwave links for urban drainage modelling: The effect of link characteristics and their position on runoff simulations. Journal of Environmental Management. 251. 109522–109522. 17 indexed citations
13.
Fencl, Martin, Morten Grum, Morten Borup, & Peter Steen Mikkelsen. (2019). Robust model for estimating pumping station characteristics and sewer flows from standard pumping station data. Water Science & Technology. 79(9). 1739–1745. 7 indexed citations
14.
Fencl, Martin, et al.. (2019). The suitability of precipitation estimates from short CMLs for urban hydrological predictions. Repository for Publications and Research Data (ETH Zurich). 83–88. 1 indexed citations
15.
Fencl, Martin, et al.. (2018). Quantifying Wet Antenna Attenuation in 38-GHz Commercial Microwave Links of Cellular Backhaul. IEEE Geoscience and Remote Sensing Letters. 16(4). 514–518. 33 indexed citations
16.
Fencl, Martin & Vojtěch Bareš. (2018). Quantifying Hardware Related Attenuation from the Analysis of Nearby Microwave Links. 71. 135–138. 2 indexed citations
17.
Chwala, Christian, Hidde Leijnse, Aart Overeem, et al.. (2018). Rainfall observation using commercial microwave links: An overview of ongoing projects around the globe. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1 indexed citations
18.
Fencl, Martin, Michal Dohnal, Jörg Rieckermann, & Vojtěch Bareš. (2017). Gauge-adjusted rainfall estimates from commercial microwave links. Hydrology and earth system sciences. 21(1). 617–634. 35 indexed citations
19.
Fencl, Martin, Jörg Rieckermann, & Vojtěch Bareš. (2015). Reducing bias in rainfall estimates from microwave links by considering variable drop size distribution. EGUGA. 12995. 1 indexed citations
20.
Fencl, Martin, Jörg Rieckermann, & Vojtěch Bareš. (2014). Eliminating bias in rainfall estimates from microwave links due to antenna wetting. EGU General Assembly Conference Abstracts. 13107. 1 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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2026