G.A. de Groot

4.2k citations
53 papers · 1.3k · h-index 19

Impact in

Papers in

G.A. de Groot

50 papers receiving 1.2k citations

Peers

G.A. de Groot
Comparison fields: 5 of 92
  • Ecology 603
  • Ecology, Evolution, Behavior and Systematics 350
  • Ecological Modeling 73
  • Nature and Landscape Conservation 181
  • Soil Science 136
Replace Masato Yamamichi with:
Masato Yamamichi Japan
Vanessa Buzzard United States
Valentyna Krashevska Germany
Paul Nevill Australia
Xian Yang China
Mark Dangerfield Australia
Alicia Montesinos‐Navarro Spain
Christopher A. Searcy United States
Matthew I. Palmer United States
Elly Morriën Netherlands
G.A. de Groot relative to Masato Yamamichi Japan Masato Yamamichi's profile →
Citations per field
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Masato Yamamichi · 1×
Citations per year

Countries citing papers authored by G.A. de Groot

Since Specialization
Citations

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

Fields of papers citing papers by G.A. de Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.A. de Groot. 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 G.A. de Groot. The network helps show where G.A. de Groot may publish in the future.

Co-authors

The 25 scholars most cited alongside G.A. de Groot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G.A. de Groot Line = papers co-authored together G.A. de Groot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020160
2 2011107
3 2015103
4 2014102
5 201992
6 202163
7 201651
8 201247
9 201042
10 201838
11 201737
12 202137
13 202137
14 201236
15 201630
16 201825
17 201624
18 201619
19 202118
20 202216

About G.A. de Groot

G.A. de Groot is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Nature and Landscape Conservation and Insect Science, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Environmental DNA in Biodiversity Studies (13 papers), Microbial Community Ecology and Physiology (10 papers), Plant and animal studies (10 papers), Ecology and Vegetation Dynamics Studies (9 papers), Fern and Epiphyte Biology (7 papers), Plant Pathogens and Fungal Diseases (6 papers), Genetic diversity and population structure (6 papers) and Protist diversity and phylogeny (6 papers). The work is most often cited by research in Ecology (603 citations), Ecology, Evolution, Behavior and Systematics (350 citations), Ecological Modeling (73 citations), Nature and Landscape Conservation (181 citations) and Soil Science (136 citations). G.A. de Groot has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Stefan Geisen, Ivo Laros, Heinjo J. During, Roy H. J. Erkens, Harald Schneider, E. R. Jasper Wubs, Johannes Vogel, Michael Bonkowski, Alberto Orgiazzi and Martha B. Dunbar. Their work appears in journals such as Biological Conservation, Environment International, Basic and Applied Ecology, Plant and Soil and Annals of Botany.

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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