Aleš Farda

984 total citations
32 papers, 710 citations indexed

About

Aleš Farda is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Aleš Farda has authored 32 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 18 papers in Atmospheric Science and 5 papers in Oceanography. Recurrent topics in Aleš Farda's work include Climate variability and models (20 papers), Meteorological Phenomena and Simulations (15 papers) and Plant Water Relations and Carbon Dynamics (6 papers). Aleš Farda is often cited by papers focused on Climate variability and models (20 papers), Meteorological Phenomena and Simulations (15 papers) and Plant Water Relations and Carbon Dynamics (6 papers). Aleš Farda collaborates with scholars based in Czechia, Austria and Hungary. Aleš Farda's co-authors include Jan Kyselý, Ondřej Lhotka, Petr Štěpánek, Petr Skalák, Miroslav Trnka, Pavel Zahradníček, Jan Bálek, Daniela Semerádová, Zdeňěk Žalud and Josef Eitzinger and has published in prestigious journals such as Agricultural and Forest Meteorology, Sustainability and International Journal of Climatology.

In The Last Decade

Aleš Farda

32 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aleš Farda Czechia 15 438 231 110 109 89 32 710
Petr Skalák Czechia 14 664 1.5× 294 1.3× 146 1.3× 109 1.0× 87 1.0× 29 919
János Mika Hungary 15 343 0.8× 140 0.6× 74 0.7× 131 1.2× 104 1.2× 60 677
Luca Scarascia Italy 5 364 0.8× 217 0.9× 75 0.7× 88 0.8× 55 0.6× 6 667
Eva Holtanová Czechia 12 359 0.8× 286 1.2× 66 0.6× 56 0.5× 53 0.6× 29 577
Ondřej Lhotka Czechia 14 449 1.0× 298 1.3× 57 0.5× 68 0.6× 121 1.4× 29 680
Zheng 14 207 0.5× 139 0.6× 51 0.5× 203 1.9× 102 1.1× 125 665
Lučka Kajfež-Bogataj Slovenia 15 396 0.9× 222 1.0× 190 1.7× 274 2.5× 69 0.8× 57 810
Thomas Mendlik Austria 10 610 1.4× 421 1.8× 93 0.8× 38 0.3× 59 0.7× 14 859
Zhenghong Tan China 16 544 1.2× 177 0.8× 67 0.6× 149 1.4× 61 0.7× 33 805
Zhengfang Wu China 17 682 1.6× 439 1.9× 116 1.1× 80 0.7× 96 1.1× 45 920

Countries citing papers authored by Aleš Farda

Since Specialization
Citations

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

Fields of papers citing papers by Aleš Farda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleš Farda

This figure shows the co-authorship network connecting the top 25 collaborators of Aleš Farda. A scholar is included among the top collaborators of Aleš Farda 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 Aleš Farda. Aleš Farda 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.
Štěpánek, Petr, Petr Skalák, Martin Dubrovský, et al.. (2023). Validation and Selection of a Representative Subset from the Ensemble of EURO-CORDEX EUR11 Regional Climate Model Outputs for the Czech Republic. Atmosphere. 14(9). 1442–1442. 7 indexed citations
2.
Farda, Aleš, et al.. (2022). Postprocessing of Ensemble Weather Forecast Using Decision Tree–Based Probabilistic Forecasting Methods. Weather and Forecasting. 38(1). 69–82. 1 indexed citations
3.
Lakatos, Mónika, Ksenija Cindrić Kalin, Sorin Cheval, et al.. (2021). Analysis of Sub-Daily Precipitation for the PannEx Region. Atmosphere. 12(7). 838–838. 8 indexed citations
4.
Farda, Aleš, et al.. (2019). Influence of Bias Correction Methods on Simulated Köppen−Geiger Climate Zones in Europe. Climate. 7(2). 18–18. 13 indexed citations
5.
Lorencová, Eliška Krkoška, Charlotte Whitham, Zuzana V. Harmáčková, et al.. (2018). Participatory Climate Change Impact Assessment in Three Czech Cities: The Case of Heatwaves. Sustainability. 10(6). 1906–1906. 21 indexed citations
6.
Lhotka, Ondřej & Aleš Farda. (2018). Links between Temperature Biases and Flow Anomalies in an Ensemble of CNRM-CM5.1 Global Climate Model Historical Simulations. Advances in Meteorology. 2018. 1–10. 3 indexed citations
7.
Potopová, Vera, et al.. (2018). Projected changes in the evolution of drought on various timescales over the Czech Republic according to Euro‐CORDEX models. International Journal of Climatology. 38(S1). 23 indexed citations
8.
Štěpánek, Petr, Miroslav Trnka, Pavel Zahradníček, et al.. (2018). Drought Prediction System for Central Europe and Its Validation. Geosciences. 8(4). 104–104. 13 indexed citations
9.
Lhotka, Ondřej, Jan Kyselý, & Aleš Farda. (2017). Climate change scenarios of heat waves in Central Europe and their uncertainties. Theoretical and Applied Climatology. 131(3-4). 1043–1054. 138 indexed citations
10.
Holtanová, Eva, et al.. (2016). Changes in air temperature means and interannual variability over Europe in simulations by ALADIN-Climate/CZ: dependence on the size of the integration domain. Theoretical and Applied Climatology. 131(1-2). 363–376. 3 indexed citations
11.
Belda, Michal, Petr Skalák, Aleš Farda, et al.. (2015). CECILIA Regional Climate Simulations for Future Climate: Analysis of Climate Change Signal. Advances in Meteorology. 2015. 1–13. 12 indexed citations
12.
Kyselý, Jan, et al.. (2015). Convective and stratiform precipitation characteristics in an ensemble of regional climate model simulations. Climate Dynamics. 46(1-2). 227–243. 39 indexed citations
13.
Hruška, Jakub, Pavel Krám, Evžen Stuchlı́k, et al.. (2014). Runoff trends analysis and future projections of hydrological patterns in small forested catchments. Soil and Water Research. 9(4). 169–181. 14 indexed citations
14.
Skalák, Petr, Michel Déqué, Michal Belda, et al.. (2014). CECILIA regional climate simulations for the present climate: validation and inter-comparison. Climate Research. 60(1). 1–12. 7 indexed citations
15.
Holtanová, Eva, et al.. (2013). Performance of ALADIN-Climate/CZ over the area of the Czech Republic in comparison with ENSEMBLES regional climate models. Studia Geophysica et Geodaetica. 58(1). 148–169. 4 indexed citations
16.
Kocmánková, Eva, Miroslav Trnka, Josef Eitzinger, et al.. (2011). Estimating the impact of climate change on the occurrence of selected pests at a high spatial resolution: a novel approach. The Journal of Agricultural Science. 149(2). 185–195. 49 indexed citations
17.
Skalák, Petr, et al.. (2010). CECILIA regional climate simulations for present climate - validation and inter-comparison. 1 indexed citations
18.
Trnka, Miroslav, Josef Eitzinger, Martin Dubrovský, et al.. (2010). Is rainfed crop production in central Europe at risk? Using a regional climate model to produce high resolution agroclimatic information for decision makers. The Journal of Agricultural Science. 148(6). 639–656. 38 indexed citations
19.
Štěpánek, Petr, Petr Skalák, & Aleš Farda. (2009). RCM ALADIN-Climate/CZ simulation of 2021-2050 and 2071-2100 climate over the Central Europe region. EGUGA. 10045. 1 indexed citations
20.
Brožková, Radmila, et al.. (2006). Atmospheric forcing by ALADIN/MFSTEP and MFSTEP oriented tunings. Ocean science. 2(2). 113–121. 16 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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