Jürgen Knauer

10.7k total citations · 2 hit papers
38 papers, 2.2k citations indexed

About

Jürgen Knauer is a scholar working on Global and Planetary Change, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, Jürgen Knauer has authored 38 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Global and Planetary Change, 12 papers in Plant Science and 9 papers in Nature and Landscape Conservation. Recurrent topics in Jürgen Knauer's work include Plant Water Relations and Carbon Dynamics (29 papers), Climate variability and models (15 papers) and Plant responses to elevated CO2 (10 papers). Jürgen Knauer is often cited by papers focused on Plant Water Relations and Carbon Dynamics (29 papers), Climate variability and models (15 papers) and Plant responses to elevated CO2 (10 papers). Jürgen Knauer collaborates with scholars based in Australia, Germany and United States. Jürgen Knauer's co-authors include Markus Reichstein, Mirco Migliavacca, Thomas Wutzler, Antje Lucas-Moffat, Olaf Menzer, Ladislav Šigut, Sönke Zaehle, Belinda E. Medlyn, Vanessa Haverd and Christiane Werner and has published in prestigious journals such as Nature Communications, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Jürgen Knauer

36 papers receiving 2.1k citations

Hit Papers

Basic and extensible post-processing of eddy covariance f... 2018 2026 2020 2023 2018 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jürgen Knauer Australia 19 1.8k 584 503 473 301 38 2.2k
Helber C. Freitas Brazil 18 1.9k 1.0× 593 1.0× 438 0.9× 396 0.8× 324 1.1× 30 2.3k
S. A. Papuga United States 15 1.4k 0.8× 402 0.7× 621 1.2× 293 0.6× 377 1.3× 28 1.8k
Xiangzhong Luo United States 26 1.8k 1.0× 987 1.7× 497 1.0× 719 1.5× 282 0.9× 59 2.6k
Tianshan Zha China 25 1.3k 0.7× 285 0.5× 434 0.9× 373 0.8× 312 1.0× 79 1.6k
Xianjin Zhu China 19 1.4k 0.8× 510 0.9× 324 0.6× 259 0.5× 481 1.6× 47 1.8k
Yanlian Zhou China 25 1.9k 1.1× 809 1.4× 407 0.8× 316 0.7× 589 2.0× 70 2.3k
Natasha MacBean United States 26 1.9k 1.1× 958 1.6× 634 1.3× 237 0.5× 224 0.7× 50 2.5k
Longhui Li China 29 1.5k 0.8× 640 1.1× 376 0.7× 453 1.0× 434 1.4× 60 2.2k
Song Gu China 22 1.2k 0.7× 838 1.4× 570 1.1× 316 0.7× 222 0.7× 43 2.1k
Enrico Tomelleri Italy 22 1.5k 0.9× 841 1.4× 419 0.8× 235 0.5× 161 0.5× 49 2.1k

Countries citing papers authored by Jürgen Knauer

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Knauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Knauer

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Knauer. A scholar is included among the top collaborators of Jürgen Knauer 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 Jürgen Knauer. Jürgen Knauer 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.
Stephens, Clare, Belinda E. Medlyn, Laura Williams, et al.. (2025). The Response and Recovery of Carbon and Water Fluxes in Australian Ecosystems Exposed to Severe Drought. Global Change Biology. 31(7). e70361–e70361. 1 indexed citations
2.
Williams, Laura, Rachael V. Gallagher, Sami W. Rifai, et al.. (2025). Detecting and attributing climate change effects on vegetation: Australia as a test case. Plants People Planet. 8(2). 461–485.
3.
Noh, Nam Jin, Alexandre A. Renchon, Jürgen Knauer, et al.. (2024). Reconciling Top‐Down and Bottom‐Up Estimates of Ecosystem Respiration in a Mature Eucalypt Forest. Journal of Geophysical Research Biogeosciences. 129(10). 4 indexed citations
4.
Shi, Qi, Bin He, Jürgen Knauer, et al.. (2024). Leaf nutrient basis for the differentiation of photosynthetic traits between subtropical evergreen and deciduous trees. PLANT PHYSIOLOGY. 197(1). 3 indexed citations
5.
Yue, Xu, Hao Zhou, Yang Cao, et al.. (2024). Large potential of strengthening the land carbon sink in China through anthropogenic interventions. Science Bulletin. 69(16). 2622–2631. 12 indexed citations
6.
Kou‐Giesbrecht, Sian, Vivek K. Arora, Christian Seiler, et al.. (2023). Evaluating nitrogen cycling in terrestrial biosphere models: a disconnect between the carbon and nitrogen cycles. Earth System Dynamics. 14(4). 767–795. 20 indexed citations
7.
Lienert, Sebastian, Ana Bastos, Philippe Ciais, et al.. (2023). Large Variability in Simulated Response of Vegetation Composition and Carbon Dynamics to Variations in Drought‐Heat Occurrence. Journal of Geophysical Research Biogeosciences. 128(4). 8 indexed citations
8.
Knauer, Jürgen, et al.. (2023). Variable influence of photosynthetic thermal acclimation on future carbon uptake in Australian wooded ecosystems under climate change. Global Change Biology. 30(1). e17021–e17021. 6 indexed citations
9.
Knauer, Jürgen, Matthias Cuntz, Benjamin Smith, et al.. (2023). Higher global gross primary productivity under future climate with more advanced representations of photosynthesis. Science Advances. 9(46). eadh9444–eadh9444. 22 indexed citations
10.
Bian, Chenyu, Jianyang Xia, Xuanze Zhang, et al.. (2023). Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening. Journal of Advances in Modeling Earth Systems. 15(5). 7 indexed citations
11.
Knauer, Jürgen, Matthias Cuntz, John R. Evans, et al.. (2022). Contrasting anatomical and biochemical controls on mesophyll conductance across plant functional types. New Phytologist. 236(2). 357–368. 21 indexed citations
12.
Arndt, Stefan K., Lauren T. Bennett, Jürgen Knauer, et al.. (2021). Thermal optima of gross primary productivity are closely aligned with mean air temperatures across Australian wooded ecosystems. Global Change Biology. 27(19). 4727–4744. 29 indexed citations
13.
Canadell, Josep G., C. P. Meyer, Garry D. Cook, et al.. (2021). Multi-decadal increase of forest burned area in Australia is linked to climate change. Nature Communications. 12(1). 6921–6921. 298 indexed citations breakdown →
14.
Rayner, P. J., Jeremy D. Silver, Steven Thomas, et al.. (2021). Was Australia a sink or source of CO 2 in 2015? Data assimilation using OCO-2 satellite measurements. Atmospheric chemistry and physics. 21(23). 17453–17494. 14 indexed citations
15.
Knauer, Jürgen, Sönke Zaehle, Martin G. De Kauwe, et al.. (2019). Effects of mesophyll conductance on vegetation responses to elevated CO 2 concentrations in a land surface model. Global Change Biology. 25(5). 1820–1838. 36 indexed citations
16.
Mäkelä, Jarmo, Jürgen Knauer, Mika Aurela, et al.. (2019). Land surface model photosynthesis and parameter calibration for boreal sites with adaptive population importance sampler. 2 indexed citations
17.
Mäkelä, Jarmo, Jürgen Knauer, Mika Aurela, et al.. (2019). Parameter calibration and stomatal conductance formulation comparison for boreal forests with adaptive population importance sampler in the land surface model JSBACH. Geoscientific model development. 12(9). 4075–4098. 16 indexed citations
18.
Knauer, Jürgen, Tarek S. El‐Madany, Sönke Zaehle, & Mirco Migliavacca. (2018). Bigleaf—An R package for the calculation of physical and physiological ecosystem properties from eddy covariance data. PLoS ONE. 13(8). e0201114–e0201114. 77 indexed citations
19.
Medlyn, Belinda E., Martin G. De Kauwe, Yan‐Shih Lin, et al.. (2017). How do leaf and ecosystem measures of water‐use efficiency compare?. New Phytologist. 216(3). 758–770. 168 indexed citations
20.
Wutzler, Thomas, Antje Lucas-Moffat, Mirco Migliavacca, et al.. (2017). REddyProc: Enabling researchers to process Eddy-Covariance data. EGU General Assembly Conference Abstracts. 12954. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026