Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The broad footprint of climate change from genes to biomes to people
Countries citing papers authored by Luc De Meester
Since
Specialization
Citations
This map shows the geographic impact of Luc De Meester'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 Luc De Meester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc De Meester more than expected).
This network shows the impact of papers produced by Luc De Meester. 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 Luc De Meester. The network helps show where Luc De Meester may publish in the future.
Co-authorship network of co-authors of Luc De Meester
This figure shows the co-authorship network connecting the top 25 collaborators of Luc De Meester.
A scholar is included among the top collaborators of Luc De Meester 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 Luc De Meester. Luc De Meester is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Thompson, Patrick L., Laura Melissa Guzman, Luc De Meester, et al.. (2020). A process‐based metacommunity framework linking local and regional scale community ecology. Ecology Letters. 23(9). 1314–1329.204 indexed citations breakdown →
Kosten, Sarian, Vera L. M. Huszar, Eloy Bécares, et al.. (2011). Warmer climates boost cyanobacterial dominance in shallow lakes. Global Change Biology. 18(1). 118–126.689 indexed citations breakdown →
15.
Vyverman, Wim & Luc De Meester. (1994). Limnological features of four coastal lakes in the Madang area, Papua New Guinea. Ghent University Academic Bibliography (Ghent University).1 indexed citations
16.
Meester, Luc De, Joris Vandenberghe, Konjev Desender, & Henri J. Dumont. (1994). GENOTYPE-DEPENDENT DAYTIME VERTICAL-DISTRIBUTION OF DAPHNIA-MAGNA IN A SHALLOW POND.. Ghent University Academic Bibliography (Ghent University).13 indexed citations
17.
Meester, Luc De. (1994). Habitat partitioning in Daphnia: Coexistence of Daphnia magna clones differing in phototactic behaviour. Ghent University Academic Bibliography (Ghent University).5 indexed citations
18.
Meester, Luc De & Robert Bosmans. (1993). Eurycercus glacialis (Crustacea, Anomopoda): a chydorid cladoceran new to the Belgian fauna. Ghent University Academic Bibliography (Ghent University).2 indexed citations
19.
Meester, Luc De. (1993). On the geneücal ecology of phototaclic behaviour in Daphnia magna (Crustacea: Cladocera). Ghent University Academic Bibliography (Ghent University).1 indexed citations
20.
Meester, Luc De. (1993). The vertical distribution of Daphnia magna genotypes selected for different phototactic behaviour: Outdoor experiments. Ghent University Academic Bibliography (Ghent University).16 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.