Přemysl Štych

1.6k total citations · 1 hit paper
45 papers, 1.1k citations indexed

About

Přemysl Štych is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Přemysl Štych has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, 17 papers in Global and Planetary Change and 12 papers in Environmental Engineering. Recurrent topics in Přemysl Štych's work include Remote Sensing in Agriculture (15 papers), Land Use and Ecosystem Services (11 papers) and Remote Sensing and LiDAR Applications (7 papers). Přemysl Štych is often cited by papers focused on Remote Sensing in Agriculture (15 papers), Land Use and Ecosystem Services (11 papers) and Remote Sensing and LiDAR Applications (7 papers). Přemysl Štych collaborates with scholars based in Czechia, Poland and Slovakia. Přemysl Štych's co-authors include Renata Pomahačová, Jan Schwarz, Josef Sýkora, Marcela Kreslová, Jan Svoboda, Juraj Lieskovský, Volker C. Radeloff, Krzysztof Ostafin, Éva Konkoly‐Gyuró and Oleksandra Shandra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Frontiers in Ecology and the Environment.

In The Last Decade

Přemysl Štych

41 papers receiving 1.1k citations

Hit Papers

Current global trends in the incidence of pediatric-onset... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Přemysl Štych Czechia 15 489 296 197 156 109 45 1.1k
Zulkiflee Abd Latif Malaysia 18 324 0.7× 334 1.1× 53 0.3× 407 2.6× 36 0.3× 103 1.2k
Hua Liu China 25 682 1.4× 353 1.2× 188 1.0× 785 5.0× 33 0.3× 69 2.0k
Dandan Yu China 23 433 0.9× 200 0.7× 65 0.3× 58 0.4× 76 0.7× 91 1.7k
Xiaolin Chen China 20 202 0.4× 296 1.0× 171 0.9× 137 0.9× 27 0.2× 143 1.3k
Ameur M. Manceur United States 17 299 0.6× 213 0.7× 132 0.7× 120 0.8× 91 0.8× 55 1.2k
Julia Reinhardt Germany 10 505 1.0× 82 0.3× 21 0.1× 83 0.5× 29 0.3× 13 1.5k
Benoît Parmentier United States 17 643 1.3× 306 1.0× 67 0.3× 200 1.3× 8 0.1× 40 1.4k
Luís Ortigosa Spain 22 469 1.0× 518 1.8× 194 1.0× 81 0.5× 400 3.7× 48 2.2k
Yibo Ding China 27 1.2k 2.5× 265 0.9× 32 0.2× 112 0.7× 172 1.6× 95 2.4k
Yanzhao Yang China 18 591 1.2× 206 0.7× 15 0.1× 167 1.1× 21 0.2× 57 1.3k

Countries citing papers authored by Přemysl Štych

Since Specialization
Citations

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

Fields of papers citing papers by Přemysl Štych

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Přemysl Štych

This figure shows the co-authorship network connecting the top 25 collaborators of Přemysl Štych. A scholar is included among the top collaborators of Přemysl Štych 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 Přemysl Štych. Přemysl Štych 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
3.
Perglová, Irena, et al.. (2024). Perseverance of management is needed – Efficient long-term strategy of Reynoutria management. NeoBiota. 94. 261–288. 2 indexed citations
4.
Saux, Bertrand Le, et al.. (2024). Identification of optimal Sentinel-1 SAR polarimetric parameters for forest monitoring in Czechia. SHILAP Revista de lepidopterología. 60(1). 46–60. 1 indexed citations
5.
Mouratidis, Antonios, et al.. (2024). Tracking Burned Area Progression in an Unsupervised Manner Using Sentinel-1 SAR Data in Google Earth Engine. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 15612–15634. 2 indexed citations
6.
Štych, Přemysl, et al.. (2023). Mapping changes of grassland to arable land using automatic machine learning of stacked ensembles and H2O library. European Journal of Remote Sensing. 57(1). 2 indexed citations
8.
Štych, Přemysl, et al.. (2023). Assessment of the Connectivity and Comfort of Urban Rivers, a Case Study of the Czech Republic. Land. 12(4). 814–814. 2 indexed citations
9.
Svoboda, Jan, et al.. (2022). Random Forest Classification of Land Use, Land-Use Change and Forestry (LULUCF) Using Sentinel-2 Data—A Case Study of Czechia. Remote Sensing. 14(5). 1189–1189. 54 indexed citations
10.
Štych, Přemysl, et al.. (2021). National Level Land-Use Changes in Functional Urban Areas in Poland, Slovakia, and Czechia. Land. 10(1). 39–39. 35 indexed citations
11.
Mouratidis, Antonios, et al.. (2021). Land Cover-Specific Local Incidence Angle Correction: A Method for Time-Series Analysis of Forest Ecosystems. Remote Sensing. 13(9). 1743–1743. 11 indexed citations
12.
Hämmerle, Martin, et al.. (2021). Training teachers to use remote sensing: the YCHANGE project. Review of International Geographical Education Online. 3 indexed citations
13.
Svoboda, Jan, et al.. (2020). Sentinel-2 Data in an Evaluation of the Impact of the Disturbances on Forest Vegetation. Remote Sensing. 12(12). 1914–1914. 79 indexed citations
14.
Štych, Přemysl, et al.. (2020). Golf courses in the Czech Republic: Analysis of the development and socio-economic characteristics. Land Use Policy. 99. 104976–104976.
15.
Štych, Přemysl, et al.. (2019). Evaluation of the Influence of Disturbances on Forest Vegetation Using the Time Series of Landsat Data: A Comparison Study of the Low Tatras and Sumava National Parks. ISPRS International Journal of Geo-Information. 8(2). 71–71. 12 indexed citations
17.
Štych, Přemysl, et al.. (2016). Assessment of Exposure of Elementary Schools to Traffic Pollution by GIS Methods. Central European Journal of Public Health. 24(2). 109–114. 1 indexed citations
18.
Zagajewski, Bogdan, Anna Jarocińska, Edwin Raczko, et al.. (2014). Mapping vegetation communities of the Karkonosze National Park using APEX hyperspectral data and Support Vector Machines. Miscellanea Geographica. 18(2). 23–29. 20 indexed citations
19.
Marada, Miroslav, et al.. (2013). Accessibility patterns: Czech Republic Case Study. RCIN (Digital Repository of the Scientifics Institutes) (Institute of Archaeology and Ethnology of the Polish Academy of Sciences). 24. 61–76. 4 indexed citations
20.
Drbohlav, Dušan, Přemysl Štych, & Dagmar Dzúrová. (2013). Smuggled versus Not Smuggled across the Czech Border . International Migration Review. 47(1). 207–238. 4 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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