Gerhard Boenisch

1.2k total citations
12 papers, 327 citations indexed

About

Gerhard Boenisch is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, Gerhard Boenisch has authored 12 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nature and Landscape Conservation, 6 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Ecological Modeling. Recurrent topics in Gerhard Boenisch's work include Plant and animal studies (4 papers), Species Distribution and Climate Change (4 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Gerhard Boenisch is often cited by papers focused on Plant and animal studies (4 papers), Species Distribution and Climate Change (4 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Gerhard Boenisch collaborates with scholars based in Germany, United States and United Kingdom. Gerhard Boenisch's co-authors include Jens Kattge, Franciska T. de Vries, Richard D. Bardgett, Brajesh K. Singh, Ellen L. Fry, Manuel Delgado‐Baquerizo, Kelly Hamonts, David J. Eldridge, Peter Manning and Sandra Lavorel and has published in prestigious journals such as Geophysical Research Letters, New Phytologist and Global Change Biology.

In The Last Decade

Gerhard Boenisch

12 papers receiving 320 citations

Peers

Gerhard Boenisch
Jane G. Smith United States
Rachel Wooliver United States
Yanhao Feng Germany
Ian M. Ware United States
Helena Castro Portugal
Mariano A. Cony Argentina
Lupe León‐Sánchez United Kingdom
Jane G. Smith United States
Gerhard Boenisch
Citations per year, relative to Gerhard Boenisch Gerhard Boenisch (= 1×) peers Jane G. Smith

Countries citing papers authored by Gerhard Boenisch

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Boenisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Boenisch

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

All Works

12 of 12 papers shown
1.
Kattge, Jens, et al.. (2024). ‘rtry’: An R package to support plant trait data preprocessing. Ecology and Evolution. 14(5). e11292–e11292. 1 indexed citations
2.
Yang, Hui, Weijie Zhang, Yuzhen Zhang, et al.. (2024). Global patterns of tree wood density. Global Change Biology. 30(3). e17224–e17224. 10 indexed citations
3.
Boenisch, Gerhard, Isabelle Boulangeat, Daniel E. Bunker, et al.. (2024). A novel framework to generate plant functional groups for ecological modelling. Ecological Indicators. 166. 112370–112370. 5 indexed citations
4.
Kattge, Jens, Gerhard Boenisch, Sandra Díaz, et al.. (2020). The TRY Plant Trait Database - enhanced coverage and open access. 47 indexed citations
5.
Snell‐Rood, Emilie C., Eli M. Swanson, Anne Espeset, et al.. (2020). Nutritional constraints on brain evolution: Sodium and nitrogen limit brain size. Evolution. 74(10). 2304–2319. 12 indexed citations
6.
Gorné, Lucas D., Sandra Dı́az, Vanessa Minden, et al.. (2020). The acquisitive–conservative axis of leaf trait variation emerges even in homogeneous environments. Annals of Botany. 129(6). 709–722. 32 indexed citations
7.
Kimmel, Kaitlin, Laura E. Dee, David Tilman, et al.. (2019). Chronic fertilization and irrigation gradually and increasingly restructure grassland communities. Ecosphere. 10(3). 7 indexed citations
8.
Jaganathan, Ganesh K., Gerhard Boenisch, Jens Kattge, & Sarah E. Dalrymple. (2019). Physically, physiologically and conceptually hidden: Improving the description and communication of seed persistence. Flora. 257. 151413–151413. 8 indexed citations
9.
Delgado‐Baquerizo, Manuel, Ellen L. Fry, David J. Eldridge, et al.. (2018). Plant attributes explain the distribution of soil microbial communities in two contrasting regions of the globe. New Phytologist. 219(2). 574–587. 135 indexed citations
10.
Milla, Rubén, Jesús M. Bastida, Martin M. Turcotte, et al.. (2018). Phylogenetic patterns and phenotypic profiles of the species of plants and mammals farmed for food. Nature Ecology & Evolution. 2(11). 1808–1817. 53 indexed citations
11.
Kohfeld, Karen E., et al.. (2010). Importance of location for describing typical and extreme wind speed behavior. Geophysical Research Letters. 37(22). 16 indexed citations
12.
Schlösser, Peter, et al.. (1994). {sup 14}C and {sub 39}Ar distribution in the central arctic ocean: Implications for deep water formation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 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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