Milan Geršl

590 total citations
39 papers, 431 citations indexed

About

Milan Geršl is a scholar working on Atmospheric Science, Geophysics and Earth-Surface Processes. According to data from OpenAlex, Milan Geršl has authored 39 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atmospheric Science, 9 papers in Geophysics and 9 papers in Earth-Surface Processes. Recurrent topics in Milan Geršl's work include Geology and Paleoclimatology Research (10 papers), Paleontology and Stratigraphy of Fossils (6 papers) and Geological Formations and Processes Exploration (6 papers). Milan Geršl is often cited by papers focused on Geology and Paleoclimatology Research (10 papers), Paleontology and Stratigraphy of Fossils (6 papers) and Geological Formations and Processes Exploration (6 papers). Milan Geršl collaborates with scholars based in Czechia, United States and Slovakia. Milan Geršl's co-authors include Jindřich Hladil, J. Frána, Ján Spišiak, Ladislav Strnad, Pavel Bosák, Ondřej Bábek, Jiří Bruthans, Mohammad Zare, Anna Pazdur and Michal Filippi and has published in prestigious journals such as PLoS ONE, Geochimica et Cosmochimica Acta and Trends in Food Science & Technology.

In The Last Decade

Milan Geršl

36 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milan Geršl Czechia 12 149 116 87 87 84 39 431
Roberta Somma Italy 13 53 0.4× 62 0.5× 22 0.3× 308 3.5× 70 0.8× 47 513
J. Jotautas Baronas United States 15 122 0.8× 33 0.3× 69 0.8× 33 0.4× 44 0.5× 21 540
Finn Bertelsen Denmark 11 69 0.5× 71 0.6× 40 0.5× 63 0.7× 70 0.8× 14 363
Xiangli He China 16 197 1.3× 11 0.1× 47 0.5× 174 2.0× 51 0.6× 51 678
Sandra G. Neuzil United States 4 159 1.1× 35 0.3× 8 0.1× 31 0.4× 92 1.1× 8 348
Olukayode Kuloyo United States 13 71 0.5× 24 0.2× 160 1.8× 26 0.3× 11 0.1× 16 664
A. T. Wells Australia 10 43 0.3× 39 0.3× 9 0.1× 134 1.5× 68 0.8× 18 395

Countries citing papers authored by Milan Geršl

Since Specialization
Citations

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

Fields of papers citing papers by Milan Geršl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Geršl

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Geršl. A scholar is included among the top collaborators of Milan Geršl 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 Milan Geršl. Milan Geršl 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.
Říha, Jaromír, et al.. (2025). Determination of the yield of thermal mineral springs emerging into the Bečva River in the Teplice Spa. Journal of Hydrology and Hydromechanics. 73(1). 95–107.
2.
Geršl, Milan, et al.. (2024). Occurrence and path pollution of emerging organic contaminants in mineral water of Hranice hypogenic Karst. Frontiers in Environmental Science. 12. 3 indexed citations
3.
4.
Modrá, Helena, Vít Ulmann, Milan Geršl, et al.. (2023). River Sediments Downstream of Villages in a Karstic Watershed Exhibited Increased Numbers and Higher Diversity of Nontuberculous Mycobacteria. Microbial Ecology. 87(1). 15–15.
5.
Pavlík, I., Vít Ulmann, Helena Modrá, et al.. (2021). Nontuberculous Mycobacteria Prevalence in Bats’ Guano from Caves and Attics of Buildings Studied by Culture and qPCR Examinations. Microorganisms. 9(11). 2236–2236. 10 indexed citations
6.
Faimon, Jiřı́, et al.. (2020). The “breathing spots” in karst areas—the sites of advective exchange of gases between soils and adjacent underground cavities. Theoretical and Applied Climatology. 142(1-2). 85–101. 6 indexed citations
7.
8.
Nývlt, Daniel, et al.. (2019). Assessment of geogenic input into Bilina stream sediments (Czech Republic). Environmental Monitoring and Assessment. 191(2). 114–114. 7 indexed citations
9.
Pavlík, I., Milan Geršl, Milan Bartoš, et al.. (2018). Nontuberculous mycobacteria in the environment of Hranice Abyss, the world’s deepest flooded cave (Hranice karst, Czech Republic). Environmental Science and Pollution Research. 25(24). 23712–23724. 8 indexed citations
10.
11.
Geršl, Milan, et al.. (2016). Zmeny v zastoupeni latek ropneho puvodu v sedimentech reky Biliny. 4900. 83–86. 1 indexed citations
12.
Matula, Radim, et al.. (2015). Measuring Biomass and Carbon Stock in Resprouting Woody Plants. PLoS ONE. 10(2). e0118388–e0118388. 21 indexed citations
13.
Geršl, Milan, Ján Mareček, Dalibor Matýsek, Tomáš Vítěz, & Pavol Findura. (2014). Quantitative Determination of Mineral Phases by the X-Ray Powder Diffraction Method in Organo-Mineral Substrates (Digestate, Compost and Ash From Biomass). Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 62(5). 905–909. 4 indexed citations
14.
Boulvain, Frédéric, Anne‐Christine Da Silva, Cédric Mabille, et al.. (2010). Magnetic susceptibility correlation of km-thick Eifelian–Frasnian sections (Ardennes and Moravia). Open Repository and Bibliography (University of Liège). 18 indexed citations
15.
Geršl, Milan & Jindřich Hladil. (2010). Gamma-ray and magnetic susceptibility correlation across a Frasnian carbonate platform and the search for "punctata" equivalents in stromatoporoid-coral limestone facies of Moravia. Geological Quarterly. 48(3). 283–292. 12 indexed citations
16.
Grabowski, Jacek, Ondřej Bábek, Jindřich Hladil, et al.. (2009). Late Variscan remagnetization of Devonian carbonates in the Moravo-Silesian zone (Czech Republic): implications for dating tectonic deformation. Trabajos de Geología. 29(29). 315–320. 1 indexed citations
17.
Bruthans, Jiří, Michal Filippi, Milan Geršl, et al.. (2006). Holocene marine terraces on two salt diapirs in the Persian Gulf, Iran: age, depositional history and uplift rates. Journal of Quaternary Science. 21(8). 843–857. 51 indexed citations
18.
Geršl, Milan & Jindřich Hladil. (2004). Weathering products trapped in pure platform limestones: Geochemical picture of magnetic susceptibility and gamma-ray variations. Geochimica et Cosmochimica Acta. 68. 1 indexed citations
19.
Hladil, Jindřich, Pavel Bosák, Ladislav Slavík, et al.. (2003). A pragmatic test of the early origin and fixation of gamma-ray spectrometric (U, Th) and magneto-susceptibility (Fe) patterns related to sedimentary cycle boundaries in pure platform limestones. Carbonates and Evaporites. 18(2). 89–107. 5 indexed citations
20.
Hladil, Jindřich, Pavel Bosák, Ladislav Slavík, et al.. (2003). Early diagenetic origin and persistence of gamma-ray and magnetosusceptibility patterns in platform carbonates: comparison of Devonian and Quaternary sections. Physics and Chemistry of the Earth Parts A/B/C. 28(16-19). 719–727. 21 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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