Martin Svátek

66 total papers · 2.5k total citations
26 papers, 580 citations indexed

About

Martin Svátek is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Martin Svátek has authored 26 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nature and Landscape Conservation, 12 papers in Global and Planetary Change and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Martin Svátek's work include Ecology and Vegetation Dynamics Studies (17 papers), Forest ecology and management (11 papers) and Species Distribution and Climate Change (5 papers). Martin Svátek is often cited by papers focused on Ecology and Vegetation Dynamics Studies (17 papers), Forest ecology and management (11 papers) and Species Distribution and Climate Change (5 papers). Martin Svátek collaborates with scholars based in Czechia, United Kingdom and United States. Martin Svátek's co-authors include Radim Matula, Jakub Kvasnica, David A. Coomes, Tommaso Jucker, Terhi Riutta, Daniel Volařík, Yadvinder Malhi, Tom Swinfield, Jan Šebesta and David T. Milodowski and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Martin Svátek

25 papers receiving 566 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Martin Svátek	312	251	125	122	116	26	580
Anvar Sanaei	392 1.3×	259 1.0×	168 1.3×	82 0.7×	87 0.8×	26	603
Masahiro Aiba	343 1.1×	234 0.9×	135 1.1×	111 0.9×	114 1.0×	32	558
Xiaoyang Song	354 1.1×	216 0.9×	132 1.1×	166 1.4×	136 1.2×	31	605
Radim Matula	355 1.1×	266 1.1×	84 0.7×	116 1.0×	148 1.3×	38	601
Masaaki Takyu	413 1.3×	184 0.7×	178 1.4×	130 1.1×	103 0.9×	20	620
Tatsuyuki Seino	311 1.0×	191 0.8×	112 0.9×	135 1.1×	89 0.8×	28	513
Marc Fuhr	271 0.9×	284 1.1×	155 1.2×	140 1.1×	115 1.0×	26	634
Zhijun Lu	406 1.3×	223 0.9×	193 1.5×	154 1.3×	178 1.5×	35	667
Géraldine Derroire	376 1.2×	317 1.3×	135 1.1×	122 1.0×	55 0.5×	32	608
Emiel De Lombaerde	406 1.3×	247 1.0×	123 1.0×	125 1.0×	145 1.3×	24	604

Countries citing papers authored by Martin Svátek

Since Specialization

Citations

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

Fields of papers citing papers by Martin Svátek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Svátek

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

All Works

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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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