Bernhard Ahrens

3.5k total citations · 1 hit paper
31 papers, 1.7k citations indexed

About

Bernhard Ahrens is a scholar working on Soil Science, Ecology and Environmental Chemistry. According to data from OpenAlex, Bernhard Ahrens has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Soil Science, 16 papers in Ecology and 10 papers in Environmental Chemistry. Recurrent topics in Bernhard Ahrens's work include Soil Carbon and Nitrogen Dynamics (21 papers), Peatlands and Wetlands Ecology (14 papers) and Soil and Water Nutrient Dynamics (10 papers). Bernhard Ahrens is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (21 papers), Peatlands and Wetlands Ecology (14 papers) and Soil and Water Nutrient Dynamics (10 papers). Bernhard Ahrens collaborates with scholars based in Germany, Sweden and United States. Bernhard Ahrens's co-authors include Markus Reichstein, Nuno Carvalhais, Christian Beer, Martin Thurner, Maurizio Santoro, Marion Schrumpf, Mirco Migliavacca, Thomas Wutzler, Ulrich Weber and Matthias Forkel and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Science of The Total Environment.

In The Last Decade

Bernhard Ahrens

29 papers receiving 1.7k citations

Hit Papers

Global covariation of carbon turnover times with climate ... 2014 2026 2018 2022 2014 200 400 600

Peers

Bernhard Ahrens
Norman B. Bliss United States
Yit Arn Teh United Kingdom
Michael Sanclements United States
Rosvel Bracho United States
Bernhard Ahrens
Citations per year, relative to Bernhard Ahrens Bernhard Ahrens (= 1×) peers Yangong Du

Countries citing papers authored by Bernhard Ahrens

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Ahrens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernhard Ahrens

This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Ahrens. A scholar is included among the top collaborators of Bernhard Ahrens 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 Bernhard Ahrens. Bernhard Ahrens 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
2.
Sierra, Carlos A., Bernhard Ahrens, Martin A. Bolinder, et al.. (2024). Carbon sequestration in the subsoil and the time required to stabilize carbon for climate change mitigation. Global Change Biology. 30(1). e17153–e17153. 29 indexed citations
3.
Tao, Feng, Benjamin Z. Houlton, Yuanyuan Huang, et al.. (2024). Convergence in simulating global soil organic carbon by structurally different models after data assimilation. Global Change Biology. 30(5). e17297–e17297. 7 indexed citations
4.
Wutzler, Thomas, et al.. (2024). Optimal enzyme allocation leads to the constrained enzyme hypothesis: the Soil Enzyme Steady Allocation Model (SESAM; v3.1). Geoscientific model development. 17(7). 2705–2725.
5.
Tao, Feng, Johannes Lehmann, Ying‐Ping Wang, et al.. (2024). Reply to “Beyond microbial carbon use efficiency”. National Science Review. 11(4). nwae058–nwae058. 1 indexed citations
6.
Yu, Lin, Silvia Caldararu, Bernhard Ahrens, et al.. (2023). Improved representation of phosphorus exchange on soil mineral surfaces reduces estimates of phosphorus limitation in temperate forest ecosystems. Biogeosciences. 20(1). 57–73. 3 indexed citations
7.
Reichstein, Markus, et al.. (2022). Global apparent temperature sensitivity of terrestrial carbon turnover modulated by hydrometeorological factors. Nature Geoscience. 15(12). 989–994. 16 indexed citations
8.
Kengdo, Steve Kwatcho, Bernhard Ahrens, Ye Tian, et al.. (2022). Increase in carbon input by enhanced fine root turnover in a long-term warmed forest soil. The Science of The Total Environment. 855. 158800–158800. 22 indexed citations
9.
Koirala, Sujan, Markus Reichstein, Martin Thurner, et al.. (2020). Apparent ecosystem carbon turnover time: uncertainties and robust features. Earth system science data. 12(4). 2517–2536. 25 indexed citations
10.
Yu, Lin, Bernhard Ahrens, Thomas Wutzler, Marion Schrumpf, & Sönke Zaehle. (2020). Jena Soil Model (JSM v1.0; revision 1934): a microbial soil organic carbon model integrated with nitrogen and phosphorus processes. Geoscientific model development. 13(2). 783–803. 38 indexed citations
11.
Tang, Xiaolu, Nuno Carvalhais, Catarina Moura, et al.. (2019). Global variability of carbon use efficiency in terrestrial ecosystems. 21 indexed citations
12.
Jenny, Jean‐Philippe, Sujan Koirala, Irene Gregory‐Eaves, et al.. (2019). Human and climate global-scale imprint on sediment transfer during the Holocene. Proceedings of the National Academy of Sciences. 116(46). 22972–22976. 98 indexed citations
13.
Yu, Lin, Bernhard Ahrens, Thomas Wutzler, Marion Schrumpf, & Sönke Zaehle. (2019). Jena Soil Model: a microbial soil organic carbon model integrated with nitrogen and phosphorus processes. 2 indexed citations
14.
Luo, Yunpeng, Tarek S. El‐Madany, Gianluca Filippa, et al.. (2018). Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree–Grass Ecosystems. Remote Sensing. 10(8). 1293–1293. 70 indexed citations
15.
Pérez‐Priego, Óscar, Gabriel G. Katul, Markus Reichstein, et al.. (2018). Partitioning Eddy Covariance Water Flux Components Using Physiological and Micrometeorological Approaches. Journal of Geophysical Research Biogeosciences. 123(10). 3353–3370. 58 indexed citations
16.
Ahrens, Bernhard, Maarten C. Braakhekke, Georg Guggenberger, Marion Schrumpf, & Markus Reichstein. (2015). Contribution of sorption, DOC transport and microbial interactions to the 14C age of a soil organic carbon profile: Insights from a calibrated process model. Soil Biology and Biochemistry. 88. 390–402. 131 indexed citations
17.
Carvalhais, Nuno, Matthias Forkel, Myroslava Khomik, et al.. (2014). Global covariation of carbon turnover times with climate in terrestrial ecosystems. Nature. 514(7521). 213–217. 673 indexed citations breakdown →
18.
Ahrens, Bernhard, Markus Reichstein, Werner Borken, et al.. (2014). Bayesian calibration of a soil organic carbon model using Δ 14 C measurements of soil organic carbon and heterotrophic respiration as joint constraints. Biogeosciences. 11(8). 2147–2168. 30 indexed citations
19.
Braakhekke, Maarten C., Thomas Wutzler, Christian Beer, et al.. (2013). Modeling the vertical soil organic matter profile using Bayesian parameter estimation. Biogeosciences. 10(1). 399–420. 54 indexed citations
20.
Borken, Werner, Bernhard Ahrens, Christoph Schulz, & Lothar Zimmermann. (2011). Site-to-site variability and temporal trends of DOC concentrations and fluxes in temperate forest soils. Global Change Biology. 17(7). 2428–2443. 87 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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