Lukáš Gábor

699 total citations
17 papers, 401 citations indexed

About

Lukáš Gábor is a scholar working on Ecology, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, Lukáš Gábor has authored 17 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 14 papers in Ecological Modeling and 7 papers in Nature and Landscape Conservation. Recurrent topics in Lukáš Gábor's work include Species Distribution and Climate Change (14 papers), Wildlife Ecology and Conservation (10 papers) and Ecology and Vegetation Dynamics Studies (7 papers). Lukáš Gábor is often cited by papers focused on Species Distribution and Climate Change (14 papers), Wildlife Ecology and Conservation (10 papers) and Ecology and Vegetation Dynamics Studies (7 papers). Lukáš Gábor collaborates with scholars based in Czechia, United States and Italy. Lukáš Gábor's co-authors include Vítězslav Moudrý, Vojtěch Barták, Kateřina Gdulová, Vincent Lecours, Jan Wild, Duccio Rocchini, Marco Malavasi, Jiří Prošek, Petra Šímová and Jan Kropáček and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Remote Sensing.

In The Last Decade

Lukáš Gábor

17 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lukáš Gábor Czechia 12 225 183 144 120 78 17 401
Jiří Prošek Czechia 11 216 1.0× 70 0.4× 231 1.6× 72 0.6× 101 1.3× 13 396
Rafi Kent Israel 12 295 1.3× 115 0.6× 135 0.9× 136 1.1× 151 1.9× 21 520
Ian Woodward United Kingdom 9 210 0.9× 78 0.4× 159 1.1× 91 0.8× 234 3.0× 21 519
Christa L. Zweig United States 9 294 1.3× 79 0.4× 45 0.3× 91 0.8× 162 2.1× 16 396
Cristina Domingo‐Marimon Spain 10 145 0.6× 62 0.3× 68 0.5× 62 0.5× 194 2.5× 23 392
Zhaoju Zheng China 12 295 1.3× 65 0.4× 181 1.3× 114 0.9× 202 2.6× 24 451
Michele Torresani Italy 14 394 1.8× 214 1.2× 158 1.1× 172 1.4× 226 2.9× 28 577
Arnon Accad Australia 12 407 1.8× 78 0.4× 240 1.7× 167 1.4× 174 2.2× 20 628
M. Sgrenzaroli Italy 9 196 0.9× 51 0.3× 80 0.6× 78 0.7× 215 2.8× 13 416
G. Rajashekar India 12 250 1.1× 54 0.3× 199 1.4× 200 1.7× 230 2.9× 21 449

Countries citing papers authored by Lukáš Gábor

Since Specialization
Citations

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

Fields of papers citing papers by Lukáš Gábor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukáš Gábor

This figure shows the co-authorship network connecting the top 25 collaborators of Lukáš Gábor. A scholar is included among the top collaborators of Lukáš Gábor 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 Lukáš Gábor. Lukáš Gábor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
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
2.
Gábor, Lukáš, Jeremy M. Cohen, Vítězslav Moudrý, & Walter Jetz. (2024). Assessing the applicability of binary land-cover variables to species distribution models across multiple grains. Landscape Ecology. 39(3). 2 indexed citations
3.
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
4.
Gábor, Lukáš, Walter Jetz, Alejandra Zarzo‐Arias, et al.. (2023). Species distribution models affected by positional uncertainty in species occurrences can still be ecologically interpretable. Ecography. 2023(6). 10 indexed citations
5.
Rocchini, Duccio, Jakub Nowosad, Giovanni Bacaro, et al.. (2023). Scientific maps should reach everyone: The cblindplot R package to let colour blind people visualise spatial patterns. Ecological Informatics. 76. 102045–102045. 5 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.
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
8.
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
9.
Zarzo‐Arias, Alejandra, Vincenzo Penteriani, Lukáš Gábor, et al.. (2022). Importance of data selection and filtering in species distribution models: A case study on the Cantabrian brown bear. Ecosphere. 13(12). 13 indexed citations
10.
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
11.
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
12.
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
13.
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
14.
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
15.
Sabatini, Francesco María, Enrico Tordoni, Daniele Da Re, et al.. (2018). Addressing multiple facets of bias and uncertainty in continental scale biodiversity databases. International Journal of Engineering & Technology. 18(4.18). 5–8. 2 indexed citations
16.
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
17.
Rubín, Lukáš, et al.. (2015). Active commuting of the inhabitants of Liberec city in low and high walkability areas. SHILAP Revista de lepidopterología. 45(4). 195–202. 6 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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