Andreas Huth

13.1k total citations · 3 hit papers
128 papers, 6.0k citations indexed

About

Andreas Huth is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology. According to data from OpenAlex, Andreas Huth has authored 128 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Nature and Landscape Conservation, 86 papers in Global and Planetary Change and 33 papers in Ecology. Recurrent topics in Andreas Huth's work include Ecology and Vegetation Dynamics Studies (72 papers), Forest ecology and management (53 papers) and Plant Water Relations and Carbon Dynamics (27 papers). Andreas Huth is often cited by papers focused on Ecology and Vegetation Dynamics Studies (72 papers), Forest ecology and management (53 papers) and Plant Water Relations and Carbon Dynamics (27 papers). Andreas Huth collaborates with scholars based in Germany, United States and France. Andreas Huth's co-authors include Christian Wissel, Thorsten Wiegand, Rico Fischer, Peter Köhler, Friedrich J. Bohn, Franziska Taubert, Jürgen Groeneveld, Sebastian Lehmann, Edna Rödig and Nikolai Knapp and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Andreas Huth

126 papers receiving 5.8k citations

Hit Papers

Global patterns of tropic... 2016 2026 2019 2022 2018 2016 2021 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Andreas Huth 3.2k 3.2k 1.8k 905 840 128 6.0k
Kerstin Wiegand 2.5k 0.8× 3.0k 1.0× 2.1k 1.2× 555 0.6× 1.2k 1.4× 99 5.7k
Sonia Kéfi 3.8k 1.2× 2.6k 0.8× 2.1k 1.2× 840 0.9× 1.6k 1.9× 99 7.3k
Eric J. Gustafson 4.1k 1.3× 2.6k 0.8× 2.2k 1.2× 495 0.5× 393 0.5× 105 5.9k
Bruce T. Milne 3.0k 0.9× 2.3k 0.7× 2.9k 1.6× 513 0.6× 845 1.0× 43 6.1k
William W. Hargrove 2.7k 0.8× 1.9k 0.6× 2.5k 1.4× 502 0.6× 559 0.7× 102 5.5k
Anantha Prasad 2.7k 0.8× 2.8k 0.9× 2.2k 1.2× 649 0.7× 618 0.7× 80 6.0k
Florian Härtig 1.8k 0.5× 2.6k 0.8× 2.5k 1.4× 819 0.9× 1.1k 1.3× 116 6.9k
Raphaël Pélissier 1.2k 0.4× 2.2k 0.7× 1.3k 0.7× 823 0.9× 711 0.8× 73 3.8k
Bai-Lian Li 2.0k 0.6× 1.4k 0.4× 1.5k 0.8× 572 0.6× 667 0.8× 203 6.5k
Janine Bolliger 2.3k 0.7× 1.8k 0.6× 2.0k 1.1× 339 0.4× 829 1.0× 77 5.1k

Countries citing papers authored by Andreas Huth

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Huth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Huth

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Huth. A scholar is included among the top collaborators of Andreas Huth 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 Andreas Huth. Andreas Huth 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.
Wolf, Kevin, Evelyn Jäkel, André Ehrlich, et al.. (2025). Impact of stratiform liquid water clouds on vegetation albedo quantified by coupling an atmosphere and a vegetation radiative transfer model. Biogeosciences. 22(12). 2909–2933. 1 indexed citations
2.
Wolf, Kevin, Evelyn Jäkel, André Ehrlich, et al.. (2025). Biases in estimated vegetation indices from observations under cloudy conditions. Biogeosciences. 22(23). 7797–7817. 1 indexed citations
3.
Huth, Andreas, et al.. (2024). Community recomposition caused by species extinction in the colonization-competition trade-off model for vegetation. Ecological Modelling. 499. 110906–110906. 1 indexed citations
4.
Bohn, Friedrich J., et al.. (2024). Identifying compound weather drivers of forest biomass loss with generative deep learning. SHILAP Revista de lepidopterología. 3. 2 indexed citations
5.
Fischer, Samuel, Xugao Wang, & Andreas Huth. (2024). Distinguishing mature and immature trees allows estimating forest carbon uptake from stand structure. Biogeosciences. 21(14). 3305–3319. 1 indexed citations
6.
Huth, Andreas, et al.. (2023). A new approach to derive productivity of tropical forests using radar remote sensing measurements. Royal Society Open Science. 10(11). 231186–231186. 2 indexed citations
7.
Huth, Andreas, et al.. (2023). Creating virtual forests around the globe and analysing their state space. Ecological Modelling. 483. 110404–110404. 7 indexed citations
8.
Liang, Yu, et al.. (2023). Sensitivity of forest composition and productivity to climate change in mixed broadleaved-Korean pine forest of Northeastern China. Ecological Modelling. 483. 110434–110434. 3 indexed citations
9.
Huth, Andreas, et al.. (2022). Importance of the forest state in estimating biomass losses from tropical forests: combining dynamic forest models and remote sensing. Biogeosciences. 19(7). 1891–1911. 9 indexed citations
10.
Knapp, Nikolai, Sabine Attinger, & Andreas Huth. (2022). A question of scale: modeling biomass, gain and mortality distributions of a tropical forest. Biogeosciences. 19(20). 4929–4944. 2 indexed citations
11.
Huth, Andreas, et al.. (2021). Importance of the forest state in estimating biomass losses from tropical forests: combining dynamic forest models and remote sensing. Repository for Publications and Research Data (ETH Zurich). 2 indexed citations
12.
Getzin, Stephan, Todd E. Erickson, Hezi Yizhaq, et al.. (2020). Bridging ecology and physics: Australian fairy circles regenerate following model assumptions on ecohydrological feedbacks. Journal of Ecology. 109(1). 399–416. 20 indexed citations
13.
Huth, Andreas, et al.. (2020). An analysis of forest biomass sampling strategies across scales. Biogeosciences. 17(6). 1673–1683. 18 indexed citations
15.
Taubert, Franziska, et al.. (2020). Network science applied to forest megaplots: tropical tree species coexist in small-world networks. Scientific Reports. 10(1). 13198–13198. 8 indexed citations
16.
Bohn, Friedrich J., Felix May, & Andreas Huth. (2018). Species composition and forest structure explain the temperature sensitivity patterns of productivity in temperate forests. Biogeosciences. 15(6). 1795–1813. 23 indexed citations
17.
Frank, Karin, et al.. (2014). Species ecology and the impacts of bioenergy crops: an assessment approach with four example farmland bird species. GCB Bioenergy. 6(3). 252–264. 25 indexed citations
18.
Pütz, Sandro, Jürgen Groeneveld, Klaus Henle, et al.. (2014). Long-term carbon loss in fragmented Neotropical forests. Nature Communications. 5(1). 5037–5037. 152 indexed citations
19.
Engel, Jan, et al.. (2011). Biomasseanbau steuern - Konfliktminderung durch neue Anreize. 0028-0615. 86(3). 112–119. 1 indexed citations
20.
Johst, Karin & Andreas Huth. (2005). Testing the intermediate disturbance hypothesis: when will there be two peaks of diversity?. Diversity and Distributions. 11(1). 111–120. 46 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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