Silvia Kohnová

7.4k total citations
111 papers, 1.5k citations indexed

About

Silvia Kohnová is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Silvia Kohnová has authored 111 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Water Science and Technology, 73 papers in Global and Planetary Change and 29 papers in Atmospheric Science. Recurrent topics in Silvia Kohnová's work include Hydrology and Watershed Management Studies (73 papers), Hydrology and Drought Analysis (48 papers) and Climate variability and models (35 papers). Silvia Kohnová is often cited by papers focused on Hydrology and Watershed Management Studies (73 papers), Hydrology and Drought Analysis (48 papers) and Climate variability and models (35 papers). Silvia Kohnová collaborates with scholars based in Slovakia, Austria and Poland. Silvia Kohnová's co-authors include Ján Szolgay, Kamila Hlavčová, Ladislav Gaál, Günter Blöschl, Juraj Párajka, Alberto Viglione, Ralf Merz, José Luis Salinas, Thomas Kjeldsen and Attilio Castellarin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

In The Last Decade

Silvia Kohnová

102 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvia Kohnová Slovakia 19 1.2k 965 331 199 186 111 1.5k
Ján Szolgay Slovakia 21 1.6k 1.3× 1.2k 1.3× 555 1.7× 195 1.0× 296 1.6× 91 2.0k
Lampros Vasiliades Greece 21 1.6k 1.3× 1.1k 1.1× 320 1.0× 105 0.5× 298 1.6× 49 1.9k
Semu Ayalew Moges Ethiopia 18 842 0.7× 570 0.6× 463 1.4× 213 1.1× 238 1.3× 48 1.4k
Shaochun Huang Germany 28 1.5k 1.2× 1.5k 1.6× 422 1.3× 101 0.5× 253 1.4× 54 2.0k
Zhentao Cong China 19 1.5k 1.3× 1.4k 1.4× 592 1.8× 158 0.8× 359 1.9× 41 2.0k
María Manuela Portela Portugal 20 1.2k 1.0× 648 0.7× 248 0.7× 93 0.5× 194 1.0× 93 1.5k
CARLOS TUCCI Brazil 17 907 0.8× 1.1k 1.1× 203 0.6× 182 0.9× 329 1.8× 65 1.5k
Harris Vangelis Greece 17 2.0k 1.7× 773 0.8× 177 0.5× 183 0.9× 164 0.9× 26 2.2k
Mojca Šraj Slovenia 22 1.3k 1.1× 911 0.9× 322 1.0× 210 1.1× 419 2.3× 80 1.7k
Liqiao Liang China 18 819 0.7× 634 0.7× 464 1.4× 95 0.5× 143 0.8× 55 1.2k

Countries citing papers authored by Silvia Kohnová

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Kohnová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Kohnová

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Kohnová. A scholar is included among the top collaborators of Silvia Kohnová 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 Silvia Kohnová. Silvia Kohnová 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.
Farooq, Rashid, et al.. (2025). How do land use changes affect temperature and groundwater in urban areas? An integrated remote sensing, and machine learning approach. Advances in Space Research. 76(8). 3963–3987. 1 indexed citations
3.
Soltani, Jaber, et al.. (2025). Development of a Multi-objective Optimal Operation Model of a Dam using Meteorological Ensemble Forecasts for Flood Control. Water Resources Management. 39(6). 2743–2761. 2 indexed citations
4.
Onderka, Milan, et al.. (2024). Applying a time-varying GEV distribution to correct bias in rainfall quantiles derived from regional climate models. Journal of Hydrology and Hydromechanics. 72(4). 499–512. 1 indexed citations
6.
Kohnová, Silvia, et al.. (2022). Impact of Changes in Short-Term Rainfall on Design Floods: Case Study of the Hnilec River Basin, Slovakia. SHILAP Revista de lepidopterología. 30(1). 68–74. 3 indexed citations
7.
Kohnová, Silvia, et al.. (2020). Validation of the EROSION-3D Model through Measured Bathymetric Sediments. Water. 12(4). 1082–1082. 16 indexed citations
8.
Kohnová, Silvia, et al.. (2019). Changes in the IDF curves of short-term rainfall in mountainous and lowland areas of Slovakia. IOP Conference Series Earth and Environmental Science. 362(1). 12083–12083. 1 indexed citations
9.
Schwilch, Gudrun, Tatenda Lemann, Örjan Berglund, et al.. (2018). Assessing Impacts of Soil Management Measures on Ecosystem Services. Sustainability. 10(12). 4416–4416. 27 indexed citations
10.
Szolgay, Ján, et al.. (2017). The potential for land use change to reduce flood risk in mid-sized catchments in the Myjava region of Slovakia. Contributions to Geophysics and Geodesy. 47(2). 95–112. 8 indexed citations
11.
Szolgay, Ján, et al.. (2016). Reducing uncertainty in the selection of bi-variate distributions of flood peaks and volumes using copulas and hydrological process-based model selection. EGU General Assembly Conference Abstracts. 1 indexed citations
12.
Gaál, Ladislav, Silvia Kohnová, & Ján Szolgay. (2010). Revisiting regional flood frequency analysis in Slovakia: the region-of-influence method vs. traditional regional approaches. EGU General Assembly Conference Abstracts. 13693. 1 indexed citations
13.
Gaál, Ladislav, et al.. (2010). Copula-based assessment of the relationship between food peaks and flood volumes using information on historical floods by Bayesian Monte Carlo Markov Chain simulations. EGU General Assembly Conference Abstracts. 13534. 1 indexed citations
14.
Kohnová, Silvia, et al.. (2009). Estimation of IDF curves of extreme rainfall by simple scaling in Slovakia. SHILAP Revista de lepidopterología. 42 indexed citations
15.
Gaál, Ladislav, et al.. (2009). Simple scaling of extreme short-term rainfall for flood risk estimation in Slovakia. EGU General Assembly Conference Abstracts. 10578. 5 indexed citations
16.
Hlavčová, Kamila, et al.. (2007). Prediction of rainfall-runoff model parameters in ungauged catchments.. IAHS-AISH publication. 357–364. 2 indexed citations
17.
Kohnová, Silvia, et al.. (2006). Seasonality Analysis of Flood Occurrence in Mid-Sized Catchments in Slovakia. Tunnelling and Underground Space Technology. 16(1). 8 indexed citations
18.
Szolgay, Ján, et al.. (2003). Regional estimation of parameters of a monthly water balance model. Digitalni Knihovna - Knihovna Akademie věd ČR. 2 indexed citations
19.
Kohnová, Silvia & Ján Szolgay. (2003). Regional estimation of the index flood and the standard deviation of the summer floods in the Tatry mountains. Journal of Hydrology and Hydromechanics. 7 indexed citations
20.
Kohnová, Silvia & Juraj Párajka. (2002). Estimation of Design Maximum Daily Precipitation Depths In A Mountain Region of Slovakia. EGS General Assembly Conference Abstracts. 5345. 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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