Leo Goudzwaard

866 total citations
17 papers, 501 citations indexed

About

Leo Goudzwaard is a scholar working on Ecology, Insect Science and Nature and Landscape Conservation. According to data from OpenAlex, Leo Goudzwaard has authored 17 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 10 papers in Insect Science and 8 papers in Nature and Landscape Conservation. Recurrent topics in Leo Goudzwaard's work include Forest Ecology and Biodiversity Studies (10 papers), Forest Insect Ecology and Management (9 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Leo Goudzwaard is often cited by papers focused on Forest Ecology and Biodiversity Studies (10 papers), Forest Insect Ecology and Management (9 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Leo Goudzwaard collaborates with scholars based in Netherlands, China and Belgium. Leo Goudzwaard's co-authors include Lourens Poorter, Frank J. Sterck, Ute Sass‐Klaassen, J. den Ouden, Mariet M. Hefting, Richard S. P. van Logtestijn, Johannes H. C. Cornelissen, Juan Zuo, Jurgen van Hal and Matty P. Berg and has published in prestigious journals such as Soil Biology and Biochemistry, Journal of Ecology and Oikos.

In The Last Decade

Leo Goudzwaard

17 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leo Goudzwaard Netherlands 13 203 202 186 186 182 17 501
Magda Jonášová Czechia 7 213 1.0× 207 1.0× 180 1.0× 220 1.2× 90 0.5× 7 438
Magda Edwards‐Jonášová Czechia 13 163 0.8× 99 0.5× 119 0.6× 177 1.0× 156 0.9× 23 420
Karol Ujházy Slovakia 15 217 1.1× 150 0.7× 280 1.5× 146 0.8× 249 1.4× 42 585
Franz Starlinger Austria 9 168 0.8× 155 0.8× 366 2.0× 254 1.4× 179 1.0× 13 625
Ann L. Lezberg United States 9 99 0.5× 163 0.8× 276 1.5× 219 1.2× 103 0.6× 16 481
Roberto Mercurio Italy 8 174 0.9× 159 0.8× 292 1.6× 265 1.4× 88 0.5× 17 567
Brent R. Frey United States 12 181 0.9× 185 0.9× 459 2.5× 484 2.6× 133 0.7× 23 742
Anna Gazda Poland 12 123 0.6× 123 0.6× 284 1.5× 192 1.0× 101 0.6× 42 455
Christina Westphal Germany 7 313 1.5× 121 0.6× 404 2.2× 184 1.0× 214 1.2× 8 628
Kazuhiko Masaka Japan 14 121 0.6× 141 0.7× 323 1.7× 150 0.8× 202 1.1× 52 538

Countries citing papers authored by Leo Goudzwaard

Since Specialization
Citations

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

Fields of papers citing papers by Leo Goudzwaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Goudzwaard

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

All Works

17 of 17 papers shown
1.
Poorter, Lourens, Frank J. Sterck, Johannes H. C. Cornelissen, et al.. (2024). Stem decomposition of temperate tree species is determined by stem traits and fungal community composition during early stem decay. Journal of Ecology. 112(6). 1240–1255. 4 indexed citations
2.
Hu, Yukun, Richard S. P. van Logtestijn, Juan Zuo, et al.. (2024). Facilitation: Isotopic evidence that wood-boring beetles drive the trophic diversity of secondary decomposers. Soil Biology and Biochemistry. 192. 109353–109353. 2 indexed citations
3.
Song, Yao‐Bin, Yikang Li, Leo Goudzwaard, et al.. (2022). Considering inner and outer bark as distinctive tissues helps to disentangle the effects of bark traits on decomposition. Journal of Ecology. 110(10). 2359–2373. 3 indexed citations
4.
Sterck, Frank J., Ute Sass‐Klaassen, J. Hans C. Cornelissen, et al.. (2022). Stem Trait Spectra Underpin Multiple Functions of Temperate Tree Species. Frontiers in Plant Science. 13. 769551–769551. 18 indexed citations
5.
Poorter, Lourens, Eiko E. Kuramae, Ute Sass‐Klaassen, et al.. (2022). Stem traits, compartments and tree species affect fungal communities on decaying wood. Environmental Microbiology. 24(8). 3625–3639. 9 indexed citations
6.
Song, Yanjun, Ute Sass‐Klaassen, Frank J. Sterck, et al.. (2021). Growth of 19 conifer species is highly sensitive to winter warming, spring frost and summer drought. Annals of Botany. 128(5). 545–557. 26 indexed citations
7.
Limpens, Juul, Frank J. Sterck, Ute Sass‐Klaassen, et al.. (2021). Dead wood diversity promotes fungal diversity. Oikos. 130(12). 2202–2216. 34 indexed citations
8.
Logtestijn, Richard S. P. van, Leo Goudzwaard, Jurgen van Hal, et al.. (2020). Methodology matters for comparing coarse wood and bark decay rates across tree species. Methods in Ecology and Evolution. 11(7). 828–838. 17 indexed citations
9.
Brede, Benjamin, Jochem Verrelst, Jean‐Philippe Gastellu‐Etchegorry, et al.. (2020). Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI. Remote Sensing. 12(6). 915–915. 44 indexed citations
10.
Zuo, Juan, Matty P. Berg, Jurgen van Hal, et al.. (2020). Fauna Community Convergence During Decomposition of Deadwood Across Tree Species and Forests. Ecosystems. 24(4). 926–938. 22 indexed citations
11.
Zuo, Juan, Matty P. Berg, Leo Goudzwaard, et al.. (2019). Combining tree species and decay stages to increase invertebrate diversity in dead wood. Forest Ecology and Management. 441. 80–88. 44 indexed citations
12.
Zuo, Juan, Mariet M. Hefting, Matty P. Berg, et al.. (2018). Is there a tree economics spectrum of decomposability?. Soil Biology and Biochemistry. 119. 135–142. 29 indexed citations
13.
Ramirez, Juan Ignacio, Patrick A. Jansen, J. den Ouden, Leo Goudzwaard, & Lourens Poorter. (2018). Long-term effects of wild ungulates on the structure, composition and succession of temperate forests. Forest Ecology and Management. 432. 478–488. 62 indexed citations
14.
Copini, Paul, J. den Ouden, Elisabeth M. R. Robert, et al.. (2016). Flood-Ring Formation and Root Development in Response to Experimental Flooding of Young Quercus robur Trees. Frontiers in Plant Science. 7. 775–775. 47 indexed citations
15.
Zuo, Juan, Matty P. Berg, Mariet M. Hefting, et al.. (2016). Faunal community consequence of interspecific bark trait dissimilarity in early‐stage decomposing logs. Functional Ecology. 30(12). 1957–1966. 37 indexed citations
16.
Weemstra, Monique, Frank J. Sterck, Eric J. W. Visser, et al.. (2016). Fine-root trait plasticity of beech (Fagus sylvatica) and spruce (Picea abies) forests on two contrasting soils. Plant and Soil. 415(1-2). 175–188. 73 indexed citations
17.
Zuo, Juan, Johannes H. C. Cornelissen, Mariet M. Hefting, et al.. (2016). The (w)hole story: Facilitation of dead wood fauna by bark beetles?. Soil Biology and Biochemistry. 95. 70–77. 30 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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