Jan Skála
Impact in
- Pollution top 10%
- Heavy metals in environment
- Soil Science top 10%
- Soil Carbon and Nitrogen Dynamics
Papers in
- Pollution 14
- Heavy metals in environment 13
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- Soil Geostatistics and Mapping 8
- Co-authors
- Radim Vácha (14 shared papers)Jörg Büchner (5 shared papers)Pavel Chromý (1 shared paper)Satoshi Inoue (1 shared paper)Tereza Zádorová (6 shared papers)K. Kusano (1 shared paper)Daniel Žížala (7 shared papers)Vít Penížek (4 shared papers)
In The Last Decade
Jan Skála
31 papers receiving 431 citations
Peers
Comparison fields: 5 of 83
- Pollution 118
- Soil Science 59
- Environmental Engineering 77
- Urban Studies 31
- Radiological and Ultrasound Technology 22
Countries citing papers authored by Jan Skála
This map shows the geographic impact of Jan Skála'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 Jan Skála with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Skála more than expected).
Fields of papers citing papers by Jan Skála
This network shows the impact of papers produced by Jan Skála. 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 Jan Skála. The network helps show where Jan Skála may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Skála, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 58 | |
| 2 | 2018 | 51 | |
| 3 | 2010 | 38 | |
| 4 | 1996 | 35 | |
| 5 | 2015 | 31 | |
| 6 | 2010 | 26 | |
| 7 | 2013 | 24 | |
| 8 | 2021 | 19 | |
| 9 | 2018 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2011 | 14 | |
| 12 | 2015 | 13 | |
| 13 | 1994 | 13 | |
| 14 | 2022 | 11 | |
| 15 | 2016 | 11 | |
| 16 | 2011 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2020 | 8 | |
| 19 | 2013 | 7 | |
| 20 | The 3D MHD code GOEMHD3 for astrophysical plasmas with large Reynolds numbers - Code description, verification, and computational performance | 2015 | 6 |
About Jan Skála
Jan Skála is a scholar working on Pollution, Environmental Engineering, Artificial Intelligence, Astronomy and Astrophysics and Health, Toxicology and Mutagenesis, having authored 35 papers that have together received 454 indexed citations. Recurring topics across this work include Heavy metals in environment (13 papers), Soil Geostatistics and Mapping (8 papers), Geochemistry and Geologic Mapping (7 papers), Solar and Space Plasma Dynamics (5 papers), Toxic Organic Pollutants Impact (4 papers), Ionosphere and magnetosphere dynamics (3 papers), Soil erosion and sediment transport (3 papers) and Soil Carbon and Nitrogen Dynamics (3 papers). The work is most often cited by research in Pollution (118 citations), Soil Science (59 citations), Environmental Engineering (77 citations), Urban Studies (31 citations) and Radiological and Ultrasound Technology (22 citations). Jan Skála has collaborated with scholars based in Czechia, Germany and Poland. Frequent co-authors include Radim Vácha, Jörg Büchner, Pavel Chromý, Satoshi Inoue, Tereza Zádorová, K. Kusano, Daniel Žížala, Vít Penížek, Anna Juřicová and Robert Minařík. Their work appears in journals such as Astronomy and Astrophysics, Geoderma, Geoderma Regional, Nature Communications and Journal of Environmental Management.
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.