Vítězslav Moudrý

2.3k total citations
55 papers, 1.4k citations indexed

About

Vítězslav Moudrý is a scholar working on Ecology, Ecological Modeling and Environmental Engineering. According to data from OpenAlex, Vítězslav Moudrý has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Ecology, 29 papers in Ecological Modeling and 24 papers in Environmental Engineering. Recurrent topics in Vítězslav Moudrý's work include Species Distribution and Climate Change (29 papers), Remote Sensing and LiDAR Applications (23 papers) and Remote Sensing in Agriculture (22 papers). Vítězslav Moudrý is often cited by papers focused on Species Distribution and Climate Change (29 papers), Remote Sensing and LiDAR Applications (23 papers) and Remote Sensing in Agriculture (22 papers). Vítězslav Moudrý collaborates with scholars based in Czechia, Italy and United States. Vítězslav Moudrý's co-authors include Petra Šímová, Kateřina Gdulová, Vojtěch Barták, Duccio Rocchini, Lukáš Gábor, Marco Malavasi, R. Urban, Jan Komárek, Vincent Lecours and Jiří Prošek and has published in prestigious journals such as Nature Communications, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Vítězslav Moudrý

52 papers receiving 1.4k citations

Peers

Vítězslav Moudrý
Vojtěch Barták Czechia
Steven R. Schill United States
J. Pablo Arroyo‐Mora Canada
Martina L. Hobi Switzerland
Heather Reese Sweden
Rachel Gaulton United Kingdom
Hiroyuki Oguma Japan
Krzysztof Stereńczak Poland
Ruben Van De Kerchove Belgium
Laurence Hubert‐Moy France
Vojtěch Barták Czechia
Vítězslav Moudrý
Citations per year, relative to Vítězslav Moudrý Vítězslav Moudrý (= 1×) peers Vojtěch Barták

Countries citing papers authored by Vítězslav Moudrý

Since Specialization
Citations

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

Fields of papers citing papers by Vítězslav Moudrý

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vítězslav Moudrý

This figure shows the co-authorship network connecting the top 25 collaborators of Vítězslav Moudrý. A scholar is included among the top collaborators of Vítězslav Moudrý 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 Vítězslav Moudrý. Vítězslav Moudrý 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, Vítězslav Moudrý, Bernhard Schuldt, & Matthias Forkel. (2025). GEDI reveals decline in overstorey and increase in understorey canopy cover of protected forests in Central Europe since 2019. Forest Ecology and Management. 597. 123155–123155.
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Barták, Vojtěch, Vítězslav Moudrý, Duccio Rocchini, et al.. (2025). Habitat heterogeneity from lidar and hyperspectral data: Implications for bird guilds and restoration management of coal mines. Journal of Applied Ecology. 62(7). 1659–1673. 1 indexed citations
4.
Ben‐Dor, Eyal, et al.. (2025). Remote sensing assessment of invasive plant species impacts on microclimate and water stress in mediterranean coastal ecosystems. Agricultural and Forest Meteorology. 371. 110606–110606.
5.
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
6.
Barták, Vojtěch, Petr Keil, Vítězslav Moudrý, et al.. (2024). The relationship between remotely-sensed spectral heterogeneity and bird diversity is modulated by landscape type. International Journal of Applied Earth Observation and Geoinformation. 128. 103763–103763. 1 indexed citations
7.
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
8.
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
9.
Svobodová, Kamila, John R. Owen, Deanna Kemp, et al.. (2022). Decarbonization, population disruption and resource inventories in the global energy transition. Nature Communications. 13(1). 7674–7674. 48 indexed citations
10.
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
11.
Gábor, Lukáš, Walter Jetz, Duccio Rocchini, et al.. (2022). Positional errors in species distribution modelling are not overcome by the coarser grains of analysis. Methods in Ecology and Evolution. 13(10). 2289–2302. 20 indexed citations
12.
Gábor, Lukáš, Petra Šímová, Petr Keil, et al.. (2022). Habitats as predictors in species distribution models: Shall we use continuous or binary data?. Ecography. 2022(7). 17 indexed citations
13.
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
14.
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
15.
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
16.
Gábor, Lukáš, Vítězslav Moudrý, Vincent Lecours, et al.. (2019). The effect of positional error on fine scale species distribution models increases for specialist species. Ecography. 43(2). 256–269. 28 indexed citations
17.
Moudrý, Vítězslav, et al.. (2019). Evaluation of a high resolution UAV imagery model for rooftop solar irradiation estimates. Remote Sensing Letters. 10(11). 1077–1085. 22 indexed citations
18.
Gábor, Lukáš, Vítězslav Moudrý, Vojtěch Barták, & Vincent Lecours. (2019). How do species and data characteristics affect species distribution models and when to use environmental filtering?. International Journal of Geographical Information Systems. 34(8). 1567–1584. 36 indexed citations
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Šímová, Petra, et al.. (2018). Fine scale waterbody data improve prediction of waterbird occurrence despite coarse species data. Ecography. 42(3). 511–520. 22 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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