Wim Aertsen

956 total citations
17 papers, 786 citations indexed

About

Wim Aertsen is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Wim Aertsen has authored 17 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nature and Landscape Conservation, 10 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Wim Aertsen's work include Forest ecology and management (12 papers), Remote Sensing and LiDAR Applications (6 papers) and Plant Water Relations and Carbon Dynamics (5 papers). Wim Aertsen is often cited by papers focused on Forest ecology and management (12 papers), Remote Sensing and LiDAR Applications (6 papers) and Plant Water Relations and Carbon Dynamics (5 papers). Wim Aertsen collaborates with scholars based in Belgium, Türkiye and Italy. Wim Aertsen's co-authors include Bart Muys, Vincent Kint, Jos Van Orshoven, Kürşad Özkan, Dries Vansteenkiste, Andy Delcloo, Matteo Campioli, Bruno De Vos, Jozef Deckers and Martin Hermy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Plant and Soil and Climatic Change.

In The Last Decade

Wim Aertsen

17 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wim Aertsen Belgium 12 427 377 220 148 134 17 786
Matthias Kunz Germany 17 594 1.4× 378 1.0× 265 1.2× 176 1.2× 165 1.2× 35 892
Ola Langvall Sweden 16 397 0.9× 637 1.7× 144 0.7× 160 1.1× 294 2.2× 25 1.1k
Osvaldo Valeria Canada 16 274 0.6× 480 1.3× 156 0.7× 99 0.7× 222 1.7× 51 757
Aude Valade France 12 305 0.7× 703 1.9× 132 0.6× 175 1.2× 196 1.5× 15 950
Gregorio Ángeles–Pérez Mexico 13 401 0.9× 295 0.8× 145 0.7× 69 0.5× 165 1.2× 100 714
Michał Zasada Poland 16 587 1.4× 461 1.2× 263 1.2× 122 0.8× 139 1.0× 69 866
Ingrid Seynave France 18 730 1.7× 731 1.9× 159 0.7× 413 2.8× 153 1.1× 26 1.0k
Vicente J. Monleón United States 16 349 0.8× 384 1.0× 304 1.4× 50 0.3× 215 1.6× 42 753
Grazia Pellizzaro Italy 16 271 0.6× 771 2.0× 157 0.7× 122 0.8× 271 2.0× 41 1.1k
Markku Larjavaara Finland 19 657 1.5× 797 2.1× 228 1.0× 200 1.4× 227 1.7× 46 1.4k

Countries citing papers authored by Wim Aertsen

Since Specialization
Citations

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

Fields of papers citing papers by Wim Aertsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wim Aertsen

This figure shows the co-authorship network connecting the top 25 collaborators of Wim Aertsen. A scholar is included among the top collaborators of Wim Aertsen 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 Wim Aertsen. Wim Aertsen 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.
Rodeghiero, Mirco, Lars Vesterdal, Barbara Marcolla, et al.. (2017). Soil nitrogen explanatory factors across a range of forest ecosystems and climatic conditions in Italy. Forest Ecology and Management. 408. 25–35. 16 indexed citations
2.
Verboven, Hans A. F., Wim Aertsen, Rein Brys, & Martin Hermy. (2014). Pollination and seed set of an obligatory outcrossing plant in an urban–peri-urban gradient. Perspectives in Plant Ecology Evolution and Systematics. 16(3). 121–131. 27 indexed citations
3.
Meerbeek, Koenraad Van, et al.. (2014). Quantification and Prediction of Biomass Yield of Temperate Low-Input High-Diversity Ecosystems. BioEnergy Research. 7(4). 1120–1130. 18 indexed citations
4.
Kint, Vincent, Wim Aertsen, Nikolaos M. Fyllas, et al.. (2014). Ecological traits of Mediterranean tree species as a basis for modelling forest dynamics in the Taurus mountains, Turkey. Ecological Modelling. 286. 53–65. 11 indexed citations
5.
Ahmadi, Kourosh, et al.. (2013). Non-linear height-diameter models for oriental beech (Fagus orientalis Lipsky) in the Hyrcanian forests, Iran. SHILAP Revista de lepidopterología. 21 indexed citations
6.
Aertsen, Wim, et al.. (2013). Long-term growth changes of common beech (Fagus sylvatica L.) are less pronounced on highly productive sites. Forest Ecology and Management. 312. 252–259. 44 indexed citations
7.
Giday, Kidane, Getachew Eshete, Pia Barklund, Wim Aertsen, & Bart Muys. (2013). Wood biomass functions for Acacia abyssinica trees and shrubs and implications for provision of ecosystem services in a community managed exclosure in Tigray, Ethiopia. Journal of Arid Environments. 94. 80–86. 31 indexed citations
8.
Özkan, Kürşad, Ahmet Mert, Wim Aertsen, & Bart Muys. (2013). Hierarchical land classification and mapping of Aglasun forest ecosystems in the Mediterranean region, Turkey.. PubMed. 34(3). 623–33. 5 indexed citations
9.
Aertsen, Wim, et al.. (2012). Comparison of location-based, attribute-based and hybrid regionalization techniques for mapping forest site productivity. Forestry An International Journal of Forest Research. 85(4). 539–550. 8 indexed citations
10.
Kint, Vincent, Wim Aertsen, Matteo Campioli, et al.. (2012). Radial growth change of temperate tree species in response to altered regional climate and air quality in the period 1901–2008. Climatic Change. 115(2). 343–363. 90 indexed citations
11.
Aertsen, Wim, Vincent Kint, Jos Van Orshoven, & Bart Muys. (2011). Evaluation of modelling techniques for forest site productivity prediction in contrasting ecoregions using stochastic multicriteria acceptability analysis (SMAA). Environmental Modelling & Software. 26(7). 929–937. 74 indexed citations
12.
Aertsen, Wim, Vincent Kint, Bart Muys, & Jos Van Orshoven. (2011). Effects of scale and scaling in predictive modelling of forest site productivity. Environmental Modelling & Software. 31. 19–27. 24 indexed citations
13.
Aertsen, Wim, Vincent Kint, Bruno De Vos, et al.. (2011). Predicting forest site productivity in temperate lowland from forest floor, soil and litterfall characteristics using boosted regression trees. Plant and Soil. 354(1-2). 157–172. 58 indexed citations
14.
Kint, Vincent, Dries Vansteenkiste, Wim Aertsen, et al.. (2011). Forest structure and soil fertility determine internal stem morphology of Pedunculate oak: a modelling approach using boosted regression trees. European Journal of Forest Research. 131(3). 609–622. 17 indexed citations
15.
Aertsen, Wim, Vincent Kint, Jos Van Orshoven, Kürşad Özkan, & Bart Muys. (2010). Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forests. Ecological Modelling. 221(8). 1119–1130. 335 indexed citations
16.
Aertsen, Wim, et al.. (2009). Performance of modelling techniques for the prediction of forest site index: a case study for pine and cedar in the Taurus mountains, Turkey. Lirias (KU Leuven). 4 indexed citations
17.
Kint, Vincent, et al.. (2009). Stem and wood quality assessment in national forest inventories. Lirias (KU Leuven). 3 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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