Kim Naudts

2.8k total citations
25 papers, 1.1k citations indexed

About

Kim Naudts is a scholar working on Global and Planetary Change, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, Kim Naudts has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 7 papers in Plant Science and 6 papers in Nature and Landscape Conservation. Recurrent topics in Kim Naudts's work include Plant Water Relations and Carbon Dynamics (17 papers), Climate variability and models (7 papers) and Plant responses to elevated CO2 (6 papers). Kim Naudts is often cited by papers focused on Plant Water Relations and Carbon Dynamics (17 papers), Climate variability and models (7 papers) and Plant responses to elevated CO2 (6 papers). Kim Naudts collaborates with scholars based in Germany, Netherlands and Belgium. Kim Naudts's co-authors include Sebastiaan Luyssaert, Aude Valade, Jim Ryder, Yi‐Ying Chen, Matthew J. McGrath, Juliane Otto, A. J. Dolman, Patrick Meyfroidt, Karl‐Heinz Erb and Thomas Janßen and has published in prestigious journals such as Nature, Science and Environmental Pollution.

In The Last Decade

Kim Naudts

25 papers receiving 1.1k citations

Peers

Kim Naudts
Aitor Améztegui Spain
Anthony R. Ambrose United States
Eileen V. Carey United States
Jaroslav Škvarenina Slovakia
Tanja Sanders Germany
Qing‐Lai Dang Canada
Ingrid Seynave France
Norbert Kunert Germany
Algirdas Augustaitis Lithuania
Jennifer A. Holm United States
Aitor Améztegui Spain
Kim Naudts
Citations per year, relative to Kim Naudts Kim Naudts (= 1×) peers Aitor Améztegui

Countries citing papers authored by Kim Naudts

Since Specialization
Citations

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

Fields of papers citing papers by Kim Naudts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Naudts

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Naudts. A scholar is included among the top collaborators of Kim Naudts 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 Kim Naudts. Kim Naudts 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
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Marie, Guillaume, Hervé Jactel, Maxime Cailleret, et al.. (2024). Simulating Ips typographus L. outbreak dynamics and their influence on carbon balance estimates with ORCHIDEE r8627. Geoscientific model development. 17(21). 8023–8047. 2 indexed citations
3.
Pongratz, Julia, et al.. (2022). Effects of Increased Drought in Amazon Forests Under Climate Change: Separating the Roles of Canopy Responses and Soil Moisture. Journal of Geophysical Research Biogeosciences. 127(3). 4 indexed citations
4.
Joetzjer, Émilie, Fabienne Maignan, Jérôme Chave, et al.. (2022). Effect of tree demography and flexible root water uptake for modeling the carbon and water cycles of Amazonia. Ecological Modelling. 469. 109969–109969. 13 indexed citations
5.
Chai, Yuanfang, Wouter R. Berghuijs, Kim Naudts, et al.. (2021). Using precipitation sensitivity to temperature to adjust projected global runoff. Environmental Research Letters. 16(12). 124032–124032. 11 indexed citations
6.
Janßen, Thomas, Ype van der Velde, Florian Hofhansl, et al.. (2021). Drought effects on leaf fall, leaf flushing and stem growth in the Amazon forest: reconciling remote sensing data and field observations. Biogeosciences. 18(14). 4445–4472. 22 indexed citations
7.
Janßen, Thomas, Katrin Fleischer, Sebastiaan Luyssaert, Kim Naudts, & A. J. Dolman. (2020). Drought resistance increases from the individual to the ecosystem level in highly diverse Neotropical rainforest: a meta-analysis of leaf, tree and ecosystem responses to drought. Biogeosciences. 17(9). 2621–2645. 14 indexed citations
8.
Nabel, Julia E. M. S., Kim Naudts, & Julia Pongratz. (2020). Accounting for forest age in the tile-based dynamic global vegetation model JSBACH4 (4.20p7; git feature/forests) – a land surface model for the ICON-ESM. Geoscientific model development. 13(1). 185–200. 24 indexed citations
9.
Janßen, Thomas, Teemu Hölttä, Katrin Fleischer, Kim Naudts, & A. J. Dolman. (2019). Wood allocation trade‐offs between fiber wall, fiber lumen, and axial parenchyma drive drought resistance in neotropical trees. Plant Cell & Environment. 43(4). 965–980. 82 indexed citations
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Chen, Yi‐Ying, Barry Gardiner, Kristina Blennow, et al.. (2018). Simulating damage for wind storms in the land surface model ORCHIDEE-CAN (revision 4262). Geoscientific model development. 11(2). 771–791. 27 indexed citations
12.
Luyssaert, Sebastiaan, Guillaume Marie, Aude Valade, et al.. (2018). Trade-offs in using European forests to meet climate objectives. Nature. 562(7726). 259–262. 156 indexed citations
13.
Pongratz, Julia, A. J. Dolman, Axel Don, et al.. (2017). Models meet data: Challenges and opportunities in implementing land management in Earth system models. Global Change Biology. 24(4). 1470–1487. 106 indexed citations
14.
Ryder, Jim, Jan Polcher‬, Philippe Peylin, et al.. (2016). A multi-layer land surface energy budget model for implicit coupling with global atmospheric simulations. Geoscientific model development. 9(1). 223–245. 30 indexed citations
15.
McGrath, Matthew J., Jim Ryder, B. Pinty, et al.. (2016). A multi-level canopy radiative transfer scheme for ORCHIDEE(SVN r2566), based on a domain-averaged structure factor. VU Research Portal. 14 indexed citations
16.
McGrath, Matthew J., Sebastiaan Luyssaert, Patrick Meyfroidt, et al.. (2015). Reconstructing European forest management from 1600 to 2010. DIAL (Catholic University of Leuven). 89 indexed citations
17.
McGrath, Matthew J., Sebastiaan Luyssaert, Patrick Meyfroidt, et al.. (2015). Reconstructing European forest management from 1600 to 2010. Biogeosciences. 12(14). 4291–4316. 140 indexed citations
18.
Naudts, Kim, Joke Van den Berge, Peter Rose, et al.. (2013). Future climate alleviates stress impact on grassland productivity through altered antioxidant capacity. Environmental and Experimental Botany. 99. 150–158. 49 indexed citations
19.
Berge, Joke Van den, Kim Naudts, Ivan A. Janssens, R. Ceulemans, & Ivan Nijs. (2011). Does the stress tolerance of mixed grassland communities change in a future climate? A test with heavy metal stress (zinc pollution). Environmental Pollution. 159(12). 3294–3301. 5 indexed citations
20.
Gielen, Birgit, Kim Naudts, Hans J. De Boeck, et al.. (2007). Effects of climate warming and species richness on photochemistry of grasslands. Physiologia Plantarum. 131(2). 251–262. 16 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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