Anne Klosterhalfen

1.1k total citations
17 papers, 275 citations indexed

About

Anne Klosterhalfen is a scholar working on Global and Planetary Change, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, Anne Klosterhalfen has authored 17 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 4 papers in Plant Science and 3 papers in Nature and Landscape Conservation. Recurrent topics in Anne Klosterhalfen's work include Plant Water Relations and Carbon Dynamics (16 papers), Climate variability and models (5 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Anne Klosterhalfen is often cited by papers focused on Plant Water Relations and Carbon Dynamics (16 papers), Climate variability and models (5 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Anne Klosterhalfen collaborates with scholars based in Germany, Sweden and Netherlands. Anne Klosterhalfen's co-authors include Harry Vereecken, Alexander Graf, Lutz Weihermüller, Michael Herbst, Marius Schmidt, Johan Alexander Huisman, Matthias Peichl, Jinshu Chi, Natascha Kljun and Mats B. Nilsson and has published in prestigious journals such as Global Change Biology, Agricultural and Forest Meteorology and Ecological Modelling.

In The Last Decade

Anne Klosterhalfen

17 papers receiving 273 citations

Peers

Anne Klosterhalfen

GPC

ECOLO

Angelika Kübert Germany

Alamgir Khan China

Abhishek Chakraborty India

Alejandro Cueva United States

M. Roby United States

Engui Li China

Mario Bretfeld United States

Susanne Burri Switzerland

Youxing Lin China

Hassane Bil‐Assanou Issoufou Niger

Angelika Kübert Germany

Anne Klosterhalfen

178 ×1.0

GPC

84 ×1.1

50 ×0.8

ECOLO

68 ×1.2

34 ×0.6

Citations per year, relative to Anne Klosterhalfen Anne Klosterhalfen (= 1×) peers Angelika Kübert

Countries citing papers authored by Anne Klosterhalfen

Since Specialization

Citations

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

Fields of papers citing papers by Anne Klosterhalfen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Klosterhalfen

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Klosterhalfen. A scholar is included among the top collaborators of Anne Klosterhalfen 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 Anne Klosterhalfen. Anne Klosterhalfen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Montero, David, Miguel D. Mahecha, César Aybar, et al.. (2024). Recurrent Neural Networks for Modelling Gross Primary Production. 4214–4217. 4 indexed citations

Klosterhalfen, Anne, et al.. (2024). Decoding autumn phenology: Unraveling the link between observation methods and detected environmental cues. Global Change Biology. 30(3). e17231–e17231. 8 indexed citations

Klosterhalfen, Anne, et al.. (2023). A modeling approach to investigate drivers, variability and uncertainties in O ₂ fluxes and O ₂ : CO ₂ exchange ratios in a temperate forest. Biogeosciences. 20(19). 4087–4107. 2 indexed citations

Hasselquist, Niles J., Kersti Leppä, Anne Klosterhalfen, et al.. (2023). Partitioning gross primary production of a boreal forest among species and strata: A multi-method approach. Agricultural and Forest Meteorology. 345. 109857–109857. 3 indexed citations

Klosterhalfen, Anne, Jinshu Chi, Natascha Kljun, et al.. (2023). Two-level eddy covariance measurements reduce bias in land-atmosphere exchange estimates over a heterogeneous boreal forest landscape. Agricultural and Forest Meteorology. 339. 109523–109523. 8 indexed citations

Orth, René, Markus Reichstein, Michael Bahn, et al.. (2022). Contrasting drought legacy effects on gross primary productivity in a mixed versus pure beech forest. Biogeosciences. 19(17). 4315–4329. 31 indexed citations

Monteil, Guillaume, Marko Scholze, Anne Klosterhalfen, et al.. (2021). Reconciling the Carbon Balance of Northern Sweden Through Integration of Observations and Modelling. Journal of Geophysical Research Atmospheres. 126(23). 3 indexed citations

Chi, Jinshu, Zhao Pen, Anne Klosterhalfen, et al.. (2021). Forest floor fluxes drive differences in the carbon balance of contrasting boreal forest stands. Agricultural and Forest Meteorology. 306. 108454–108454. 31 indexed citations

Arellano, Jordi Vilà-Guerau De, Oscar Hartogensis, Hugo J. de Boer, et al.. (2020). CloudRoots: integration of advanced instrumental techniques and process modelling of sub-hourly and sub-kilometre land–atmosphere interactions. Biogeosciences. 17(17). 4375–4404. 18 indexed citations

10.

Arellano, Jordi Vilà-Guerau De, Oscar Hartogensis, Hugo J. de Boer, et al.. (2020). CloudRoots: Integration of advanced instrumental techniques and process modelling of sub-hourly and sub-kilometre land-atmosphere interactions. 2 indexed citations

11.

Brogi, Cosimo, Johan Alexander Huisman, Michael Herbst, et al.. (2020). Simulation of spatial variability in crop leaf area index and yield using agroecosystem modeling and geophysics‐based quantitative soil information. Vadose Zone Journal. 19(1). 39 indexed citations

12.

Graf, Alexander, Heye Bogena, Bernd Diekkrüger, et al.. (2019). CO2 fluxes before and after partial deforestation of a Central European spruce forest. Agricultural and Forest Meteorology. 274. 61–74. 28 indexed citations

13.

Weihermüller, Lutz, et al.. (2018). A model study on the effect of water and cold stress on maize development under nemoral climate. Agricultural and Forest Meteorology. 263. 169–179. 23 indexed citations

14.

Klosterhalfen, Anne, A.F. Moene, Marius Schmidt, et al.. (2018). Sensitivity analysis of a source partitioning method for H2O and CO2 fluxes based on high frequency eddy covariance data: Findings from field data and large eddy simulations. Agricultural and Forest Meteorology. 265. 152–170. 17 indexed citations

15.

Klosterhalfen, Anne, Alexander Graf, Nicolas Brüggemann, et al.. (2018). In-situ monitoring of soil water isotopic composition for partitioning of evapotranspiration during one growing season of sugar beet (Beta vulgaris). Agricultural and Forest Meteorology. 266-267. 53–64. 30 indexed citations

16.

Klosterhalfen, Anne, Michael Herbst, Lutz Weihermüller, et al.. (2017). Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands. Ecological Modelling. 363. 137–156. 23 indexed citations

17.

Herget, Jürgen, et al.. (2015). Empirical modelling of outburst flood hydrographs. Zeitschrift für Geomorphologie. 59(3). 177–198. 5 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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