Vítězslav Moudrý

2.4k citations
55 papers · 1.5k · h-index 27

Impact in

Papers in

    • Remote Sensing in Agriculture 22
    • Wildlife Ecology and Conservation 15
    • Species Distribution and Climate Change 29

Vítězslav Moudrý

52 papers receiving 1.5k citations

Peers

Vítězslav Moudrý
Comparison fields: 5 of 93
  • Ecological Modeling 474
  • Environmental Engineering 544
  • Geology 168
  • Ecology 771
  • Nature and Landscape Conservation 354
Replace Vojtěch Barták with:
Vojtěch Barták Czechia
J. Pablo Arroyo‐Mora Canada
Steven R. Schill United States
Florian de Boissieu France
Andrew M. Cunliffe United Kingdom
Lars T. Waser‬ Switzerland
Temuulen Tsagaan Sankey United States
Andrew D. Weiss United States
Ruben Van De Kerchove Belgium
Martina L. Hobi Switzerland
Vítězslav Moudrý relative to Vojtěch Barták Czechia Vojtěch Barták's profile →
Citations per field
00.5×10×16×
Vojtěch Barták · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Vítězslav Moudrý, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vítězslav Moudrý Line = papers co-authored together Vítězslav Moudrý links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201284
2 201980
3 201865
4 202264
5 202062
6 202252
7 202352
8 202052
9 202050
10 201546
11 202043
12 201942
13 201741
14 202441
15 202139
16 202139
17 201938
18 201836
19 202236
20 202333

About Vítězslav Moudrý

Vítězslav Moudrý is a scholar working on Ecology, Ecological Modeling, Environmental Engineering, Nature and Landscape Conservation and Global and Planetary Change, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (29 papers), Remote Sensing and LiDAR Applications (23 papers), Remote Sensing in Agriculture (22 papers), Wildlife Ecology and Conservation (15 papers), Ecology and Vegetation Dynamics Studies (12 papers), Land Use and Ecosystem Services (9 papers), 3D Surveying and Cultural Heritage (5 papers) and Genetic diversity and population structure (3 papers). The work is most often cited by research in Ecological Modeling (474 citations), Environmental Engineering (544 citations), Geology (168 citations), Ecology (771 citations) and Nature and Landscape Conservation (354 citations). Vítězslav Moudrý has collaborated with scholars based in Czechia, Italy and United States. Frequent co-authors include Petra Šímová, Kateřina Gdulová, Vojtěch Barták, Duccio Rocchini, Lukáš Gábor, Marco Malavasi, R. Urban, Jan Komárek, Vincent Lecours and Jiří Prošek. Their work appears in journals such as Ecological Informatics, Ecography, Applied Geography, Remote Sensing of Environment and Landscape and Urban Planning.

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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