Elisa Van Cleemput

2.4k total citations
17 papers, 265 citations indexed

About

Elisa Van Cleemput is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Elisa Van Cleemput has authored 17 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecological Modeling, 11 papers in Nature and Landscape Conservation and 11 papers in Ecology. Recurrent topics in Elisa Van Cleemput's work include Species Distribution and Climate Change (13 papers), Ecology and Vegetation Dynamics Studies (11 papers) and Remote Sensing in Agriculture (8 papers). Elisa Van Cleemput is often cited by papers focused on Species Distribution and Climate Change (13 papers), Ecology and Vegetation Dynamics Studies (11 papers) and Remote Sensing in Agriculture (8 papers). Elisa Van Cleemput collaborates with scholars based in United States, Belgium and Netherlands. Elisa Van Cleemput's co-authors include Olivier Honnay, Ben Somers, Katharine N. Suding, Belén Fernández‐Castilla, Kenny Helsen, Kris Verheyen, Thomas Peer, Bart Muys, Vincent Kint and Jonathan J. Henn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Ecology & Evolution and Remote Sensing of Environment.

In The Last Decade

Elisa Van Cleemput

13 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elisa Van Cleemput United States	9	135	121	99	70	66	17	265
J. Antonio Guzmán Q. Canada	10	134 1.0×	89 0.7×	123 1.2×	52 0.7×	51 0.8×	28	262
K. L. Castro Canada	5	198 1.5×	73 0.6×	92 0.9×	70 1.0×	68 1.0×	5	284
George E. Pilz Honduras	7	121 0.9×	97 0.8×	65 0.7×	60 0.9×	126 1.9×	14	308
Rajendra Mohan Panda India	9	80 0.6×	127 1.0×	69 0.7×	119 1.7×	55 0.8×	24	292
Ulrike Stahl Germany	5	217 1.6×	229 1.9×	191 1.9×	194 2.8×	61 0.9×	8	436
Abdul Rahman Kassim Malaysia	10	138 1.0×	313 2.6×	148 1.5×	62 0.9×	65 1.0×	14	424
Helga van der Merwe South Africa	10	121 0.9×	164 1.4×	75 0.8×	49 0.7×	82 1.2×	35	277
Christine Hellmann Germany	11	178 1.3×	112 0.9×	92 0.9×	69 1.0×	97 1.5×	14	305
Coline C. F. Boonman Netherlands	8	101 0.7×	115 1.0×	79 0.8×	77 1.1×	48 0.7×	14	246
Ryan P. Hanavan United States	10	288 2.1×	83 0.7×	182 1.8×	40 0.6×	82 1.2×	22	415

Countries citing papers authored by Elisa Van Cleemput

Since Specialization

Citations

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

Fields of papers citing papers by Elisa Van Cleemput

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elisa Van Cleemput. 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 Elisa Van Cleemput. The network helps show where Elisa Van Cleemput may publish in the future.

Co-authorship network of co-authors of Elisa Van Cleemput

This figure shows the co-authorship network connecting the top 25 collaborators of Elisa Van Cleemput. A scholar is included among the top collaborators of Elisa Van Cleemput 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 Elisa Van Cleemput. Elisa Van Cleemput 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

Cleemput, Elisa Van, et al.. (2025). Biodiversity monitoring in urban community gardens using proximal sensing and drone remote sensing. Remote Sensing Applications Society and Environment. 39. 101685–101685.

Cleemput, Elisa Van, et al.. (2025). Simulated biodiversity hotspots from traditional ecological knowledge and Western metrics do not always overlap. Communications Earth & Environment. 6(1).

Cleemput, Elisa Van, et al.. (2024). High‐resolution spectral data predict taxonomic diversity in low diversity grasslands. SHILAP Revista de lepidopterología. 5(3). 4 indexed citations

Cleemput, Elisa Van, Peter B. Adler, Katharine N. Suding, et al.. (2024). Scaling-up ecological understanding with remote sensing and causal inference. Trends in Ecology & Evolution. 40(2). 122–135. 5 indexed citations

Cleemput, Elisa Van, et al.. (2024). Evaluating the utility of hyperspectral data to monitor local-scale β-diversity across space and time. Remote Sensing of Environment. 316. 114507–114507.

Henn, Jonathan J., et al.. (2024). Aspirational goals for the future of functional traits in restoration: a response to Gornish et al. (2023). Restoration Ecology. 33(3).

Cleemput, Elisa Van, Peter H. Adler, & Katharine N. Suding. (2023). Making remote sense of biodiversity: What grassland characteristics make spectral diversity a good proxy for taxonomic diversity?. Global Ecology and Biogeography. 32(12). 2177–2188. 14 indexed citations

Oldfather, Meagan F., Sarah C. Elmendorf, Elisa Van Cleemput, et al.. (2023). Divergent community trajectories with climate change across a fine‐scale gradient in snow depth. Journal of Ecology. 112(1). 126–137. 8 indexed citations

Henn, Jonathan J., et al.. (2022). Four reasons why functional traits are not being used in restoration practice. Restoration Ecology. 31(3). 29 indexed citations

10.

Helsen, Kenny, Hannes Feilhauer, Teja Kattenborn, et al.. (2021). Evaluating different methods for retrieving intraspecific leaf trait variation from hyperspectral leaf reflectance. Ecological Indicators. 130. 108111–108111. 19 indexed citations

11.

Helsen, Kenny, et al.. (2020). Optical traits perform equally well as directly‐measured functional traits in explaining the impact of an invasive plant on litter decomposition. Journal of Ecology. 108(5). 2000–2011. 16 indexed citations

12.

Cleemput, Elisa Van, Koenraad Van Meerbeek, Kenny Helsen, Olivier Honnay, & Ben Somers. (2020). Remotely sensed plant traits can provide insights into ecosystem impacts of plant invasions: a case study covering two functionally different invaders. Biological Invasions. 22(12). 3533–3550. 12 indexed citations

13.

Cleemput, Elisa Van, Kenny Helsen, Hannes Feilhauer, Olivier Honnay, & Ben Somers. (2020). Spectrally defined plant functional types adequately capture multidimensional trait variation in herbaceous communities. Ecological Indicators. 120. 106970–106970. 7 indexed citations

14.

Helsen, Kenny, Elisa Van Cleemput, Bente J. Graae, et al.. (2020). Inter‐ and intraspecific trait variation shape multidimensional trait overlap between two plant invaders and the invaded communities. Oikos. 129(5). 677–688. 20 indexed citations

15.

Cleemput, Elisa Van, Dar A. Roberts, Olivier Honnay, & Ben Somers. (2019). A novel procedure for measuring functional traits of herbaceous species through field spectroscopy. Methods in Ecology and Evolution. 10(8). 1332–1338. 11 indexed citations

16.

Cleemput, Elisa Van, et al.. (2018). The functional characterization of grass- and shrubland ecosystems using hyperspectral remote sensing: trends, accuracy and moderating variables. Remote Sensing of Environment. 209. 747–763. 63 indexed citations

17.

Peer, Thomas, Kris Verheyen, Vincent Kint, Elisa Van Cleemput, & Bart Muys. (2016). Plasticity of tree architecture through interspecific and intraspecific competition in a young experimental plantation. Forest Ecology and Management. 385. 1–9. 57 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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