M.G. Le Duc

40 papers receiving 987 citations

Peers

M.G. Le Duc
Comparison fields: 5 of 66
  • Nature and Landscape Conservation 728
  • Forestry 84
  • Ecology 487
  • Ecological Modeling 63
  • Plant Science 452
Replace Karen R. Hickman with:
Karen R. Hickman United States
Michele Scotton Italy
Matthew J. Rinella United States
William A. Loneragan Australia
Tamás Miglécz Hungary
Heli Jutila Finland
Blaise Touzard France
Tara K. Rajaniemi United States
Marek Sammul Estonia
Jan‐Bernard Bouzillé France
M.G. Le Duc relative to Karen R. Hickman United States Karen R. Hickman's profile →
Citations per field
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Karen R. Hickman · 1×
Citations per year

Countries citing papers authored by M.G. Le Duc

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Le Duc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.G. Le Duc. 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 M.G. Le Duc. The network helps show where M.G. Le Duc may publish in the future.

Co-authors

The 25 scholars most cited alongside M.G. Le Duc, 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 M.G. Le Duc Line = papers co-authored together M.G. Le Duc links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997113
2 200079
3 200472
4 199863
5 199959
6 200346
7 200444
8 200643
9 200643
10 200728
11 199828
12
A method for predicting the probability of species occurrence using data from systematic surveys
199226
13 200326
14 200325
15 200624
16 199723
17 200422
18 200521
19 200921
20 199819

About M.G. Le Duc

M.G. Le Duc is a scholar working on Nature and Landscape Conservation, Plant Science, Ecology, Molecular Biology and Forestry, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (31 papers), Botany, Ecology, and Taxonomy Studies (16 papers), Rangeland and Wildlife Management (10 papers), Botany and Plant Ecology Studies (9 papers), Plant Toxicity and Pharmacological Properties (8 papers), Pasture and Agricultural Systems (7 papers), Ruminant Nutrition and Digestive Physiology (4 papers) and Plant responses to elevated CO2 (2 papers). The work is most often cited by research in Nature and Landscape Conservation (728 citations), Forestry (84 citations), Ecology (487 citations), Ecological Modeling (63 citations) and Plant Science (452 citations). M.G. Le Duc has collaborated with scholars based in United Kingdom, Iran and India. Frequent co-authors include R.H. Marrs, Robin J. Pakeman, Ruth J. Mitchell, J Ghorbani, Scott W. Johnson, Hugh A. McAllister, R. H. Marrs, Simon M. Smart, R.G.H. Bunce and K. J. Kirby. Their work appears in journals such as Journal of Applied Ecology, Applied Vegetation Science, Journal of Environmental Management, Agriculture Ecosystems & Environment and Biological Conservation.

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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