Nadja Rüger

13.6k total citations
35 papers, 1.3k citations indexed

About

Nadja Rüger is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecological Modeling. According to data from OpenAlex, Nadja Rüger has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Nature and Landscape Conservation, 18 papers in Global and Planetary Change and 11 papers in Ecological Modeling. Recurrent topics in Nadja Rüger's work include Ecology and Vegetation Dynamics Studies (22 papers), Forest ecology and management (12 papers) and Species Distribution and Climate Change (11 papers). Nadja Rüger is often cited by papers focused on Ecology and Vegetation Dynamics Studies (22 papers), Forest ecology and management (12 papers) and Species Distribution and Climate Change (11 papers). Nadja Rüger collaborates with scholars based in Germany, Panama and United States. Nadja Rüger's co-authors include Richard Condit, Christian Wirth, Stephen P. Hubbell, Andreas Huth, S. Joseph Wright‬, Maja Schlüter‬, Uta Berger, W. Daniel Kissling, Richard Condit and Michael Matthies and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Nadja Rüger

33 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadja Rüger Germany 19 915 656 292 241 214 35 1.3k
Masha T. van der Sande Netherlands 19 926 1.0× 686 1.0× 307 1.1× 204 0.8× 135 0.6× 39 1.3k
William Farfán-Ríos United States 16 740 0.8× 560 0.9× 360 1.2× 359 1.5× 435 2.0× 28 1.4k
Vanessa Boukili United States 11 735 0.8× 474 0.7× 309 1.1× 159 0.7× 120 0.6× 16 969
Abd Rahman Kassim Malaysia 18 829 0.9× 721 1.1× 176 0.6× 266 1.1× 137 0.6× 32 1.3k
Percy Núñez Vargas Peru 11 1.2k 1.3× 865 1.3× 371 1.3× 317 1.3× 207 1.0× 12 1.7k
Patricio von Hildebrand Colombia 8 712 0.8× 464 0.7× 316 1.1× 334 1.4× 157 0.7× 9 1.2k
Álvaro G. Gutiérrez Chile 21 736 0.8× 674 1.0× 244 0.8× 327 1.4× 245 1.1× 34 1.4k
Justin M. Becknell United States 12 652 0.7× 723 1.1× 146 0.5× 191 0.8× 83 0.4× 17 1.1k
Walter Huaraca Huasco United Kingdom 14 754 0.8× 983 1.5× 153 0.5× 357 1.5× 110 0.5× 20 1.5k
Esteban Muldavin United States 16 816 0.9× 806 1.2× 264 0.9× 855 3.5× 216 1.0× 36 1.5k

Countries citing papers authored by Nadja Rüger

Since Specialization
Citations

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

Fields of papers citing papers by Nadja Rüger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadja Rüger

This figure shows the co-authorship network connecting the top 25 collaborators of Nadja Rüger. A scholar is included among the top collaborators of Nadja Rüger 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 Nadja Rüger. Nadja Rüger 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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Vieweg, Michael, et al.. (2024). How can oak regeneration in the Leipzig Floodplain Forest be effectively supported by femel plantations? Application of a demographic forest model. Ecological Modelling. 499. 110920–110920. 4 indexed citations
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Vieilledent, Ghislain, Adam Thomas Clark, Benoı̂t Courbaud, et al.. (2024). Beyond variance: simple random distributions are not a good proxy for intraspecific variability in systems with environmental structure. SHILAP Revista de lepidopterología. 4. 1 indexed citations
6.
Breugel, Michiel van, Frans Bongers, Natalia Norden, et al.. (2024). Feedback loops drive ecological succession: towards a unified conceptual framework. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 99(3). 928–949. 15 indexed citations
7.
Grady, John M., Quentin D. Read, Sydne Record, et al.. (2024). Life history scaling in a tropical forest. Journal of Ecology. 112(3). 487–500. 3 indexed citations
8.
Ohse, Bettina, Aldo Compagnoni, Caroline E. Farrior, et al.. (2023). Demographic synthesis for global tree species conservation. Trends in Ecology & Evolution. 38(6). 579–590. 8 indexed citations
9.
Joswig, Julia, Jens Kattge, Guido Kraemer, et al.. (2023). Imputing missing data in plant traits: A guide to improve gap‐filling. Global Ecology and Biogeography. 32(8). 1395–1408. 11 indexed citations
10.
Rosenbaum, Benjamin, Florian Schnabel, Helge Bruelheide, et al.. (2023). Systematic distributions of interaction strengths across tree interaction networks yield positive diversity–productivity relationships. Ecology Letters. 27(1). e14338–e14338. 8 indexed citations
11.
Maréchaux, Isabelle, Adam Thomas Clark, James S. Clark, et al.. (2023). Rethinking the nature of intraspecific variability and its consequences on species coexistence. Ecology and Evolution. 13(3). e9860–e9860. 7 indexed citations
12.
Crawford, Michael, Kathryn E. Barry, Adam Thomas Clark, et al.. (2021). The function‐dominance correlation drives the direction and strength of biodiversity–ecosystem functioning relationships. Ecology Letters. 24(9). 1762–1775. 20 indexed citations
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Künstler, Georges, Sophia Ratcliffe, Nadja Rüger, et al.. (2020). Demographic performance of European tree species at their hot and cold climatic edges. Journal of Ecology. 109(2). 1041–1054. 36 indexed citations
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Rüger, Nadja, Richard Condit, Daisy H. Dent, et al.. (2020). Demographic trade-offs predict tropical forest dynamics. Science. 368(6487). 165–168. 115 indexed citations
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Wirth, Christian, et al.. (2019). Dry season soil water potential maps of a 50 hectare tropical forest plot on Barro Colorado Island, Panama. Scientific Data. 6(1). 63–63. 17 indexed citations
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Rüger, Nadja, Christian Wirth, S. Joseph Wright‬, & Richard Condit. (2012). Functional traits explain light and size response of growth rates in tropical tree species. Ecology. 93(12). 2626–2636. 143 indexed citations
17.
Rüger, Nadja, Uta Berger, Stephen P. Hubbell, Ghislain Vieilledent, & Richard Condit. (2011). Growth Strategies of Tropical Tree Species: Disentangling Light and Size Effects. PLoS ONE. 6(9). e25330–e25330. 86 indexed citations
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Rüger, Nadja, Andreas Huth, Stephen P. Hubbell, & Richard Condit. (2011). Determinants of mortality across a tropical lowland rainforest community. Oikos. 120(7). 1047–1056. 60 indexed citations
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Rüger, Nadja, Álvaro G. Gutiérrez, W. Daniel Kissling, et al.. (2006). Identifying sustainable management strategies for near-natural temperate evergreen rainforest in southern Chile - a simulation experiment.. 3 indexed citations
20.
Schlüter‬, Maja, Nadja Rüger, Andre Savitsky, et al.. (2006). TUGAI: An Integrated Simulation Tool for Ecological Assessment of Alternative Water Management Strategies in a Degraded River Delta. Environmental Management. 38(4). 638–653. 13 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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