Kateřina Gdulová

1.1k total citations
20 papers, 751 citations indexed

About

Kateřina Gdulová is a scholar working on Environmental Engineering, Ecology and Ecological Modeling. According to data from OpenAlex, Kateřina Gdulová has authored 20 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 13 papers in Ecology and 6 papers in Ecological Modeling. Recurrent topics in Kateřina Gdulová's work include Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (8 papers) and Species Distribution and Climate Change (6 papers). Kateřina Gdulová is often cited by papers focused on Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (8 papers) and Species Distribution and Climate Change (6 papers). Kateřina Gdulová collaborates with scholars based in Czechia, Italy and United States. Kateřina Gdulová's co-authors include Vítězslav Moudrý, Petra Šímová, Vojtěch Barták, Lukáš Gábor, R. Urban, Jan Wild, Jiří Prošek, Duccio Rocchini, Vincent Lecours and Marco Malavasi and has published in prestigious journals such as Remote Sensing of Environment, Landscape and Urban Planning and Remote Sensing.

In The Last Decade

Kateřina Gdulová

20 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kateřina Gdulová Czechia 14 371 352 272 132 121 20 751
Renée E. Bartolo Australia 18 406 1.1× 583 1.7× 340 1.3× 234 1.8× 76 0.6× 53 981
L. Spaete United States 13 419 1.1× 379 1.1× 268 1.0× 151 1.1× 63 0.5× 24 676
Vincent Lecours United States 19 193 0.5× 647 1.8× 355 1.3× 179 1.4× 58 0.5× 41 1.1k
Suzanne Marselis Netherlands 10 793 2.1× 618 1.8× 453 1.7× 414 3.1× 72 0.6× 18 1.1k
András Zlinszky Hungary 15 302 0.8× 400 1.1× 257 0.9× 100 0.8× 56 0.5× 37 702
Hervé Piégay France 11 275 0.7× 549 1.6× 250 0.9× 78 0.6× 98 0.8× 28 825
Natalia Kolecka Poland 12 209 0.6× 255 0.7× 375 1.4× 73 0.6× 31 0.3× 23 688
Oliver Lucanus Canada 13 220 0.6× 324 0.9× 135 0.5× 75 0.6× 102 0.8× 28 580
Jahan Kariyeva Canada 12 262 0.7× 470 1.3× 450 1.7× 48 0.4× 18 0.1× 21 800
K. Kovacs United States 7 389 1.0× 292 0.8× 181 0.7× 178 1.3× 40 0.3× 14 618

Countries citing papers authored by Kateřina Gdulová

Since Specialization
Citations

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

Fields of papers citing papers by Kateřina Gdulová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kateřina Gdulová

This figure shows the co-authorship network connecting the top 25 collaborators of Kateřina Gdulová. A scholar is included among the top collaborators of Kateřina Gdulová 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 Kateřina Gdulová. Kateřina Gdulová 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.
Liu, Xiao, Anette Eltner, Kateřina Gdulová, et al.. (2025). Towards 90 m resolution digital terrain model combining ICESat-2 and GEDI data: Balancing accuracy and sampling intensity. Science of Remote Sensing. 12. 100293–100293. 2 indexed citations
2.
Gdulová, Kateřina, Vojtěch Barták, Yannis Markonis, et al.. (2024). Choosing the Optimal Global Digital Elevation Model for Stream Network Delineation: Beyond Vertical Accuracy. Earth and Space Science. 11(12). 2 indexed citations
3.
Moudrý, Vítězslav, Jiří Prošek, Suzanne Marselis, et al.. (2024). How to Find Accurate Terrain and Canopy Height GEDI Footprints in Temperate Forests and Grasslands?. Earth and Space Science. 11(10). 6 indexed citations
4.
Moudrý, Vítězslav, Lukáš Gábor, Suzanne Marselis, et al.. (2024). Comparison of three global canopy height maps and their applicability to biodiversity modeling: Accuracy issues revealed. Ecosphere. 15(10). 13 indexed citations
5.
Moudrý, Vítězslav, Petr Keil, Lukáš Gábor, et al.. (2023). Scale mismatches between predictor and response variables in species distribution modelling: A review of practices for appropriate grain selection. Progress in Physical Geography Earth and Environment. 47(3). 467–482. 23 indexed citations
6.
Moudrý, Vítězslav, Anna F. Cord, Lukáš Gábor, et al.. (2022). Vegetation structure derived from airborne laser scanning to assess species distribution and habitat suitability: The way forward. Diversity and Distributions. 29(1). 39–50. 63 indexed citations
7.
Moudrý, Vítězslav, Kateřina Gdulová, Lukáš Gábor, et al.. (2022). Effects of environmental conditions on ICESat-2 terrain and canopy heights retrievals in Central European mountains. Remote Sensing of Environment. 279. 113112–113112. 34 indexed citations
8.
Gdulová, Kateřina, et al.. (2021). Use of TanDEM-X and SRTM-C Data for Detection of Deforestation Caused by Bark Beetle in Central European Mountains. Remote Sensing. 13(15). 3042–3042. 12 indexed citations
9.
Gdulová, Kateřina, David Moravec, Lukáš Gábor, et al.. (2021). Applicability of Data Acquisition Characteristics to the Identification of Local Artefacts in Global Digital Elevation Models: Comparison of the Copernicus and TanDEM-X DEMs. Remote Sensing. 13(19). 3931–3931. 38 indexed citations
10.
Moudrý, Vítězslav, Vojtěch Barták, Vladimír Bejček, et al.. (2021). The role of the vegetation structure, primary productivity and senescence derived from airborne LiDAR and hyperspectral data for birds diversity and rarity on a restored site. Landscape and Urban Planning. 210. 104064–104064. 38 indexed citations
11.
Barták, Vojtěch, et al.. (2020). Sensitivity analysis of parameters and contrasting performance of ground filtering algorithms with UAV photogrammetry-based and LiDAR point clouds. International Journal of Digital Earth. 13(12). 1672–1694. 61 indexed citations
12.
Gdulová, Kateřina, et al.. (2020). Accuracy assessment of the global TanDEM-X digital elevation model in a mountain environment. Remote Sensing of Environment. 241. 111724–111724. 48 indexed citations
13.
Prošek, Jiří, Kateřina Gdulová, Vojtěch Barták, et al.. (2020). Integration of hyperspectral and LiDAR data for mapping small water bodies. International Journal of Applied Earth Observation and Geoinformation. 92. 102181–102181. 26 indexed citations
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Svobodová, Kamila, et al.. (2019). Can trail characteristics influence visitor numbers in natural protected areas? A quantitative approach to trail choice assessment. Environmental & Socio-economic Studies. 7(2). 10–20. 8 indexed citations
17.
Moudrý, Vítězslav, Vincent Lecours, Marco Malavasi, et al.. (2019). Potential pitfalls in rescaling digital terrain model-derived attributes for ecological studies. Ecological Informatics. 54. 100987–100987. 28 indexed citations
18.
Moudrý, Vítězslav, Vincent Lecours, Kateřina Gdulová, et al.. (2018). On the use of global DEMs in ecological modelling and the accuracy of new bare-earth DEMs. Ecological Modelling. 383. 3–9. 63 indexed citations
19.
Gdulová, Kateřina, et al.. (2018). Comparison of bathymetric data sources used in hydraulic modelling of floods. Journal of Flood Risk Management. 12(S1). 24 indexed citations
20.
Šímová, Petra & Kateřina Gdulová. (2012). Landscape indices behavior: A review of scale effects. Applied Geography. 34. 385–394. 141 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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