Simon Scheiter

4.1k total citations
52 papers, 2.7k citations indexed

About

Simon Scheiter is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecological Modeling. According to data from OpenAlex, Simon Scheiter has authored 52 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Nature and Landscape Conservation, 36 papers in Global and Planetary Change and 17 papers in Ecological Modeling. Recurrent topics in Simon Scheiter's work include Ecology and Vegetation Dynamics Studies (36 papers), Species Distribution and Climate Change (17 papers) and Plant Water Relations and Carbon Dynamics (13 papers). Simon Scheiter is often cited by papers focused on Ecology and Vegetation Dynamics Studies (36 papers), Species Distribution and Climate Change (17 papers) and Plant Water Relations and Carbon Dynamics (13 papers). Simon Scheiter collaborates with scholars based in Germany, South Africa and New Zealand. Simon Scheiter's co-authors include Steven I. Higgins, Liam Langan, William J. Bond, Mirjam Pfeiffer, Thomas Hickler, Carola Martens, Glenn R. Moncrieff, Navashni Govender, L. A. Trollope and A.L.F. Potgieter and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Simon Scheiter

51 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Scheiter Germany 26 1.8k 1.6k 791 534 411 52 2.7k
Daniel E. Bunker United States 17 1.2k 0.6× 1.6k 1.0× 642 0.8× 320 0.6× 658 1.6× 23 2.6k
Jayashree Ratnam India 18 1.2k 0.7× 1.4k 0.9× 795 1.0× 193 0.4× 362 0.9× 42 2.1k
Laureano Gherardi United States 21 1.1k 0.6× 1.0k 0.6× 868 1.1× 246 0.5× 357 0.9× 30 2.3k
Mark Schulze United States 26 2.0k 1.1× 1.3k 0.8× 908 1.1× 293 0.5× 425 1.0× 54 2.9k
Marion Pfeifer United Kingdom 27 1.1k 0.6× 950 0.6× 888 1.1× 323 0.6× 406 1.0× 68 2.3k
Francisco A. Squeo Chile 27 940 0.5× 1.1k 0.7× 895 1.1× 317 0.6× 655 1.6× 93 2.6k
Mitchel P. McClaran United States 30 1.5k 0.8× 1.1k 0.7× 1.5k 1.9× 217 0.4× 273 0.7× 98 3.1k
Miles R. Silman United States 21 977 0.5× 1.9k 1.2× 724 0.9× 847 1.6× 1.2k 2.9× 33 3.0k
Thomas W. Gillespie United States 31 1.3k 0.8× 1.0k 0.6× 1.4k 1.8× 819 1.5× 430 1.0× 85 3.0k
Navashni Govender South Africa 28 2.1k 1.2× 1.7k 1.1× 1.5k 1.9× 136 0.3× 277 0.7× 52 2.8k

Countries citing papers authored by Simon Scheiter

Since Specialization
Citations

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

Fields of papers citing papers by Simon Scheiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Scheiter

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Scheiter. A scholar is included among the top collaborators of Simon Scheiter 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 Simon Scheiter. Simon Scheiter 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.
Scheiter, Simon, et al.. (2024). Crowd-sourced trait data can be used to delimit global biomes. Biogeosciences. 21(21). 4909–4926. 1 indexed citations
2.
Scheiter, Simon, et al.. (2023). Biome classification influences current and projected future biome distributions. Global Ecology and Biogeography. 33(2). 259–271. 7 indexed citations
3.
Martens, Carola, Simon Scheiter, Guy F. Midgley, & Thomas Hickler. (2022). Combined impacts of future climate‐driven vegetation changes and socioeconomic pressures on protected areas in Africa. Conservation Biology. 36(6). e13968–e13968. 10 indexed citations
4.
Pfeiffer, Mirjam, Munir Hoffmann, Simon Scheiter, et al.. (2022). Modeling the effects of alternative crop–livestock management scenarios on important ecosystem services for smallholder farming from a landscape perspective. Biogeosciences. 19(16). 3935–3958. 10 indexed citations
5.
Pfeiffer, Mirjam, et al.. (2021). Climate change and elevated CO 2 favor forest over savanna under different future scenarios in South Asia. Biogeosciences. 18(9). 2957–2979. 22 indexed citations
6.
Lasslop, Gitta, Stijn Hantson, Sandy P. Harrison, et al.. (2020). Global ecosystems and fire: Multi‐model assessment of fire‐induced tree‐cover and carbon storage reduction. Global Change Biology. 26(9). 5027–5041. 70 indexed citations
7.
Martens, Carola, Thomas Hickler, François Engelbrecht, et al.. (2020). Large uncertainties in future biome changes in Africa call for flexible climate adaptation strategies. Global Change Biology. 27(2). 340–358. 36 indexed citations
8.
Scheiter, Simon, Glenn R. Moncrieff, Mirjam Pfeiffer, & Steven I. Higgins. (2020). African biomes are most sensitive to changes in CO 2 under recent and near-future CO 2 conditions. Biogeosciences. 17(4). 1147–1167. 7 indexed citations
9.
Pfeiffer, Mirjam, et al.. (2020). Climate change will cause non-analog vegetation states in Africa and commit vegetation to long-term change. Biogeosciences. 17(22). 5829–5847. 3 indexed citations
10.
Scheiter, Simon, Richard T. Corlett, Liam Langan, et al.. (2020). Climate change promotes transitions to tall evergreen vegetation in tropical Asia. Global Change Biology. 26(9). 5106–5124. 41 indexed citations
11.
Scheiter, Simon, et al.. (2019). Biome diversity in South Asia - How can we improve vegetation models to understand global change impact at regional level?. The Science of The Total Environment. 671. 1001–1016. 20 indexed citations
12.
Pfeiffer, Mirjam, et al.. (2019). Misinterpretation of Asian savannas as degraded forest can mislead management and conservation policy under climate change. Biological Conservation. 241. 108293–108293. 41 indexed citations
13.
Thonicke, Kirsten, Fanny Langerwisch, Matthias Baumann, et al.. (2019). A social-ecological approach to identify and quantify biodiversitytipping points in South America's seasonal dry ecosystems. 3 indexed citations
14.
Scheiter, Simon, et al.. (2018). How Does Climate Change Influence the Economic Value of Ecosystem Services in Savanna Rangelands?. Ecological Economics. 157. 342–356. 38 indexed citations
15.
Langan, Liam, et al.. (2018). African shrub distribution emerges via a trade‐off between height and sapwood conductivity. Journal of Biogeography. 45(12). 2815–2826. 15 indexed citations
16.
Scheiter, Simon & Patrice Savadogo. (2017). Ecosystem management can mitigate vegetation shifts induced by climate change in African savannas. EGUGA. 2076. 1 indexed citations
17.
Whitley, Rhys, Jason Beringer, Lindsay B. Hutley, et al.. (2016). Challenges and opportunities in modelling savanna ecosystems. 2 indexed citations
18.
Baudena, Mara, Stefan C. Dekker, Peter M. van Bodegom, et al.. (2015). Forests, savannas, and grasslands: bridging the knowledge gap between ecology and Dynamic Global Vegetation Models. Biogeosciences. 12(6). 1833–1848. 97 indexed citations
20.
Scheiter, Simon, Liam Langan, & Steven I. Higgins. (2013). Next‐generation dynamic global vegetation models: learning from community ecology. New Phytologist. 198(3). 957–969. 335 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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