Radim Vašát

1.8k total citations
48 papers, 1.4k citations indexed

About

Radim Vašát is a scholar working on Environmental Engineering, Artificial Intelligence and Pollution. According to data from OpenAlex, Radim Vašát has authored 48 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Environmental Engineering, 29 papers in Artificial Intelligence and 13 papers in Pollution. Recurrent topics in Radim Vašát's work include Soil Geostatistics and Mapping (36 papers), Geochemistry and Geologic Mapping (29 papers) and Heavy metals in environment (13 papers). Radim Vašát is often cited by papers focused on Soil Geostatistics and Mapping (36 papers), Geochemistry and Geologic Mapping (29 papers) and Heavy metals in environment (13 papers). Radim Vašát collaborates with scholars based in Czechia, Germany and Ghana. Radim Vašát's co-authors include Luboš Borůvka, Asa Gholizadeh, Mohammadmehdi Saberioon, Aleš Klement, Karel Němeček, Ondřej Drábek, Radka Kodešová, Prince Chapman Agyeman, Kingsley John and Ndiye Michael Kebonye and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Radim Vašát

48 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Radim Vašát Czechia	22	852	709	342	302	271	48	1.4k
Dongyun Xu China	15	595 0.7×	494 0.7×	308 0.9×	125 0.4×	353 1.3×	34	1.2k
José M. Soriano‐Disla Spain	16	738 0.9×	499 0.7×	368 1.1×	297 1.0×	249 0.9×	36	1.3k
Sérgio Henrique Godinho Silva Brazil	27	1.4k 1.6×	872 1.2×	167 0.5×	676 2.2×	326 1.2×	130	2.1k
M. D. Mays United States	10	596 0.7×	442 0.6×	178 0.5×	273 0.9×	146 0.5×	18	1.0k
Long Guo China	22	1.0k 1.2×	650 0.9×	292 0.9×	313 1.0×	118 0.4×	43	1.5k
Said Nawar Belgium	19	1.1k 1.3×	729 1.0×	583 1.7×	170 0.6×	79 0.3×	30	1.6k
Sharon O’Rourke Ireland	13	437 0.5×	293 0.4×	148 0.4×	284 0.9×	119 0.4×	22	874
Johanna Wetterlind Sweden	23	987 1.2×	603 0.9×	353 1.0×	432 1.4×	36 0.1×	48	1.5k
Qingrui Chang China	23	410 0.5×	291 0.4×	331 1.0×	393 1.3×	297 1.1×	92	2.0k
Jie Xue China	17	460 0.5×	241 0.3×	127 0.4×	167 0.6×	310 1.1×	33	1.1k

Countries citing papers authored by Radim Vašát

Since Specialization

Citations

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

Fields of papers citing papers by Radim Vašát

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radim Vašát

This figure shows the co-authorship network connecting the top 25 collaborators of Radim Vašát. A scholar is included among the top collaborators of Radim Vašát 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 Radim Vašát. Radim Vašát is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Vašát, Radim, et al.. (2023). Predicting soil organic carbon stocks in different layers of forest soils in the Czech Republic. Geoderma Regional. 34. e00658–e00658. 12 indexed citations

Vašát, Radim, Oldřich Vacek, & Luboš Borůvka. (2023). Studying the spatial structure of pedodiversity (Shannon's entropy) as related to the land area – An example from Czechia. Geoderma Regional. 32. e00607–e00607. 2 indexed citations

Vacek, Oldřich, Václav Tejnecký, Petra Vokurková, et al.. (2023). Which trees form the best soil? Reclaimed mine soil properties under 22 tree species: 50 years later—assessment of physical and chemical properties. European Journal of Forest Research. 143(2). 561–579. 5 indexed citations

Agyeman, Prince Chapman, Kingsley John, Ndiye Michael Kebonye, et al.. (2022). Prediction of the concentration of antimony in agricultural soil using data fusion, terrain attributes combined with regression kriging. Environmental Pollution. 316(Pt 1). 120697–120697. 8 indexed citations

Agyeman, Prince Chapman, Ndiye Michael Kebonye, Vahid Khosravi, et al.. (2022). Optimal zinc level and uncertainty quantification in agricultural soils via visible near-infrared reflectance and soil chemical properties. Journal of Environmental Management. 326(Pt A). 116701–116701. 3 indexed citations

Agyeman, Prince Chapman, et al.. (2022). Prediction of nickel concentration in peri-urban and urban soils using hybridized empirical bayesian kriging and support vector machine regression. Scientific Reports. 12(1). 3004–3004. 20 indexed citations

Agyeman, Prince Chapman, Kingsley John, Ndiye Michael Kebonye, Luboš Borůvka, & Radim Vašát. (2022). Combination of enrichment factor and positive matrix factorization in the estimation of potentially toxic element source distribution in agricultural soil. Environmental Geochemistry and Health. 45(5). 2359–2385. 18 indexed citations

Biney, James Kobina Mensah, et al.. (2022). Can in situ spectral measurements under disturbance-reduced environmental conditions help improve soil organic carbon estimation?. The Science of The Total Environment. 838(Pt 3). 156304–156304. 14 indexed citations

Biney, James Kobina Mensah, et al.. (2021). Using an ensemble model coupled with portable X-ray fluorescence and visible near-infrared spectroscopy to explore the viability of mapping and estimating arsenic in an agricultural soil. The Science of The Total Environment. 818. 151805–151805. 24 indexed citations

10.

Agyeman, Prince Chapman, Kingsley John, Ndiye Michael Kebonye, et al.. (2021). Multi-geochemical background comparison and the identification of the best normalizer for the estimation of PTE contamination in agricultural soil. Environmental Geochemistry and Health. 44(10). 3597–3613. 6 indexed citations

11.

Agyeman, Prince Chapman, Kingsley John, Ndiye Michael Kebonye, et al.. (2021). A geostatistical approach to estimating source apportionment in urban and peri-urban soils using the Czech Republic as an example. Scientific Reports. 11(1). 23615–23615. 12 indexed citations

12.

Borůvka, Luboš, Radim Vašát, Karel Němeček, et al.. (2020). Application of regression-kriging and sequential Gaussian simulation for the delineation of forest areas potentially suitable for liming in the Jizera Mountains region, Czech Republic. Geoderma Regional. 21. e00286–e00286. 11 indexed citations

13.

Agyeman, Prince Chapman, Kingsley John, Ndiye Michael Kebonye, et al.. (2020). Source apportionment, contamination levels, and spatial prediction of potentially toxic elements in selected soils of the Czech Republic. Environmental Geochemistry and Health. 43(1). 601–620. 35 indexed citations

14.

Gholizadeh, Asa, Luboš Borůvka, Mohammadmehdi Saberioon, & Radim Vašát. (2016). A Memory-Based Learning Approach as Compared to Other Data Mining Algorithms for the Prediction of Soil Texture Using Diffuse Reflectance Spectra. Remote Sensing. 8(4). 341–341. 48 indexed citations

15.

Gholizadeh, Asa, Luboš Borůvka, Radim Vašát, et al.. (2015). Estimation of Potentially Toxic Elements Contamination in Anthropogenic Soils on a Brown Coal Mining Dumpsite by Reflectance Spectroscopy: A Case Study. PLoS ONE. 10(2). e0117457–e0117457. 68 indexed citations

16.

Vašát, Radim, Lenka Pavlů, Luboš Borůvka, Václav Tejnecký, & Antonín Nikodem. (2015). Modelling the impact of acid deposition on forest soils in North Bohemian Mountains with two dynamic models: the Very Simple Dynamic Model (VSD) and the Model of Acidification of Groundwater in Catchments (MAGIC). Soil and Water Research. 10(1). 10–18. 5 indexed citations

17.

Brodský, Lukáš, Radim Vašát, Aleš Klement, Tereza Zádorová, & Ondřej Jakšík. (2012). Uncertainty propagation in VNIR reflectance spectroscopy soil organic carbon mapping. Geoderma. 199. 54–63. 47 indexed citations

18.

Brus, D.J., Radim Vašát, G.B.M. Heuvelink, et al.. (2010). Towards a Soil Information System with quantified accuracy : a prototype for mapping continuous soil properties. Socio-Environmental Systems Modeling. 3 indexed citations

19.

Vašát, Radim, G.B.M. Heuvelink, & Luboš Borůvka. (2009). Sampling design optimization for multivariate soil mapping. Geoderma. 155(3-4). 147–153. 69 indexed citations

20.

Borůvka, Luboš, Lenka Mládková, Vít Penížek, Ondřej Drábek, & Radim Vašát. (2007). Forest soil acidification assessment using principal component analysis and geostatistics. Geoderma. 140(4). 374–382. 52 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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