Vojtěch Bareš

797 total citations
47 papers, 485 citations indexed

About

Vojtěch Bareš is a scholar working on Atmospheric Science, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Vojtěch Bareš has authored 47 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Atmospheric Science, 25 papers in Environmental Engineering and 13 papers in Aerospace Engineering. Recurrent topics in Vojtěch Bareš's work include Precipitation Measurement and Analysis (26 papers), Soil Moisture and Remote Sensing (16 papers) and Radio Wave Propagation Studies (13 papers). Vojtěch Bareš is often cited by papers focused on Precipitation Measurement and Analysis (26 papers), Soil Moisture and Remote Sensing (16 papers) and Radio Wave Propagation Studies (13 papers). Vojtěch Bareš collaborates with scholars based in Czechia, Switzerland and Norway. Vojtěch Bareš's co-authors include Martin Fencl, Jörg Rieckermann, Pavel Valtr, Michal Dohnal, Marc Schleiss, Peter Reichert, Tomáš Picek, Carlo Albert, Václav Matoušek and Dario Del Giudice and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Vojtěch Bareš

41 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vojtěch Bareš Czechia 13 283 274 118 106 101 47 485
Matteo Colli Italy 15 451 1.6× 186 0.7× 111 0.9× 272 2.6× 49 0.5× 34 604
Marika Koukoula United States 12 168 0.6× 81 0.3× 42 0.4× 171 1.6× 72 0.7× 28 483
Christine C. Molling United States 10 150 0.5× 94 0.3× 45 0.4× 165 1.6× 56 0.6× 15 365
H. Richter Australia 6 237 0.8× 296 1.1× 80 0.7× 82 0.8× 35 0.3× 7 413
Anna Ołdak United States 7 546 1.9× 666 2.4× 94 0.8× 78 0.7× 116 1.1× 10 731
María Mira Spain 11 286 1.0× 413 1.5× 41 0.3× 233 2.2× 92 0.9× 22 596
Andres Schmidt United States 13 258 0.9× 125 0.5× 48 0.4× 370 3.5× 10 0.1× 29 550
Wei Mao China 12 86 0.3× 160 0.6× 112 0.9× 60 0.6× 11 0.1× 34 420
Amin Haghnegahdar Canada 10 119 0.4× 173 0.6× 173 1.5× 161 1.5× 13 0.1× 20 431

Countries citing papers authored by Vojtěch Bareš

Since Specialization
Citations

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

Fields of papers citing papers by Vojtěch Bareš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vojtěch Bareš

This figure shows the co-authorship network connecting the top 25 collaborators of Vojtěch Bareš. A scholar is included among the top collaborators of Vojtěch Bareš 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 Vojtěch Bareš. Vojtěch Bareš 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.
Gruber, Günter, et al.. (2025). Dataset on wastewater quality monitoring with adsorption and reflectance spectrometry in the UV-vis range. Scientific Data. 12(1). 1296–1296. 2 indexed citations
2.
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.
3.
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.
4.
Wu, Xuan, Nejc Bezak, Matej Radinja, et al.. (2024). Assessing the performance of blue-green solutions through a fine-scale water balance model for an urban area. The Science of The Total Environment. 948. 174750–174750. 7 indexed citations
5.
Fencl, Martin, et al.. (2023). Evaluation of error components in rainfall retrieval from collocated commercial microwave links. Atmospheric measurement techniques. 16(16). 3865–3879.
6.
Fencl, Martin, et al.. (2023). Transboundary Rainfall Estimation Using Commercial Microwave Links. Earth and Space Science. 10(8). 8 indexed citations
7.
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
8.
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
9.
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
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.
Sněhota, Michal, et al.. (2019). Evaluation of water regime of the experimental bioretention cell. EGU General Assembly Conference Abstracts. 1382.
12.
Fencl, Martin & Vojtěch Bareš. (2019). Rainfall retrieval from E-band commercial microwave links. EGU General Assembly Conference Abstracts. 14956. 1 indexed citations
13.
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
14.
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
15.
Matoušek, Václav, et al.. (2016). Experimental evaluation of bed friction and solids transport in steep flume. The Canadian Journal of Chemical Engineering. 94(6). 1076–1083. 7 indexed citations
16.
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
17.
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
18.
Bareš, Vojtěch, et al.. (2014). Turbulent slurry flow measurement using ultrasonic Doppler method in rectangular pipe. SHILAP Revista de lepidopterología. 67. 2004–2004. 3 indexed citations
19.
Rieckermann, Jörg, Vojtěch Bareš, Oliver Kracht, Daniel Braun, & Willi Gujer. (2007). Estimating sewer leakage from continuous tracer experiments. Water Research. 41(9). 1960–1972. 23 indexed citations
20.
Bareš, Vojtěch, et al.. (2007). The effect of rainfall measurement uncertainties on rainfall–runoff processes modelling. Water Science & Technology. 55(4). 103–111. 13 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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