Martin Thurner

131 total papers · 3.1k total citations
24 papers, 1.9k citations indexed

About

Martin Thurner is a scholar working on Global and Planetary Change, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Martin Thurner has authored 24 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 9 papers in Ecology and 7 papers in Nature and Landscape Conservation. Recurrent topics in Martin Thurner's work include Plant Water Relations and Carbon Dynamics (8 papers), Remote Sensing in Agriculture (7 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Martin Thurner is often cited by papers focused on Plant Water Relations and Carbon Dynamics (8 papers), Remote Sensing in Agriculture (7 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Martin Thurner collaborates with scholars based in Germany, Sweden and Switzerland. Martin Thurner's co-authors include Nuno Carvalhais, Christian Beer, Maurizio Santoro, Bernhard Ahrens, Matthias Forkel, Mirco Migliavacca, Markus Reichstein, Ulrich Weber, Jessica Bellarby and Myroslava Khomik and has published in prestigious journals such as Nature, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Martin Thurner

19 papers receiving 1.9k citations

Hit Papers

Global covariation of car... 2014 2026 2018 2022 2014 2017 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Martin Thurner 1.0k 685 436 403 402 24 1.9k
T. A. STONE 1.2k 1.1× 681 1.0× 326 0.7× 386 1.0× 291 0.7× 23 1.8k
M. J. Waterloo 1.6k 1.5× 500 0.7× 378 0.9× 340 0.8× 483 1.2× 45 2.3k
F. N. Scatena 913 0.9× 518 0.8× 389 0.9× 568 1.4× 375 0.9× 33 1.8k
David Shankman 1.4k 1.3× 893 1.3× 456 1.0× 485 1.2× 441 1.1× 36 2.5k
Kristofer Johnson 719 0.7× 625 0.9× 247 0.6× 468 1.2× 500 1.2× 42 1.8k
Guodong Yin 1.2k 1.2× 768 1.1× 260 0.6× 252 0.6× 299 0.7× 25 1.8k
Haicheng Zhang 938 0.9× 730 1.1× 485 1.1× 264 0.7× 336 0.8× 48 1.7k
Zhuoting Wu 1.2k 1.2× 932 1.4× 634 1.5× 458 1.1× 477 1.2× 32 2.2k
Frederick N. Scatena 908 0.9× 815 1.2× 319 0.7× 775 1.9× 275 0.7× 42 2.2k
Raimundo Cosme de Oliveira 924 0.9× 584 0.9× 343 0.8× 565 1.4× 199 0.5× 46 1.6k

Countries citing papers authored by Martin Thurner

Since Specialization
Citations

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

Fields of papers citing papers by Martin Thurner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Thurner

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Thurner. A scholar is included among the top collaborators of Martin Thurner 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 Thurner. Martin Thurner 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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