Pierre Legendre

94.6k citations
411 papers · 71.4k · 29 hit papers · h-index 92

Impact in

Papers in

Pierre Legendre

393 papers receiving 68.3k citations

Pierre Legendre's Hit Papers

Numerical Ecology with R 2018 · 497 citations
4970+6+13Years since publication10002.0k3.0k

Peers

Pierre Legendre
Comparison fields: 5 of 238
  • Nature and Landscape Conservation 29.7k
  • Ecological Modeling 9.0k
  • Ecology 32.8k
  • Ecology, Evolution, Behavior and Systematics 15.0k
  • Global and Planetary Change 15.0k
Replace Michel Loreau with:
Michel Loreau France
David M. Lodge United States
John H. Lawton United Kingdom
F. Stuart Chapin United States
James H. Brown United States
Daniel Simberloff United States
Harold A. Mooney United States
David A. Wardle Sweden
David Tilman United States
Cajo J. F. ter Braak Netherlands
Pierre Legendre relative to Michel Loreau France Michel Loreau's profile →
Citations per field
00.5×1.6×
Michel Loreau · 1×
Citations per year

Countries citing papers authored by Pierre Legendre

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Legendre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 411 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SPECIES ASSEMBLAGES AND INDICATOR SPECIES:THE NEED FOR A FLEXIBLE ASYMMETRICAL APPROACH
Hit paper breakdown →
19976507
2
Ecologically meaningful transformations for ordination of species data
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20014216
3
Partialling out the Spatial Component of Ecological Variation
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19923671
4
Species Assemblages and Indicator Species: The Need for a Flexible Asymmetrical Approach
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19973461
5
A distance‐based framework for measuring functional diversity from multiple traits
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20103205
6
Spatial Autocorrelation: Trouble or New Paradigm?
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19932957
7
Associations between species and groups of sites: indices and statistical inference
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20092801
8
Numerical Ecology with R
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20112465
9
Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?
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20142429
10
DISTANCE-BASED REDUNDANCY ANALYSIS: TESTING MULTISPECIES RESPONSES IN MULTIFACTORIAL ECOLOGICAL EXPERIMENTS
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19992114
11
VARIATION PARTITIONING OF SPECIES DATA MATRICES: ESTIMATION AND COMPARISON OF FRACTIONS
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20061902
12
Spatial pattern and ecological analysis
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19891846
13
FORWARD SELECTION OF EXPLANATORY VARIABLES
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20081770
14
All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices
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20021608
15
Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM)
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20061541
16
ANALYZING BETA DIVERSITY: PARTITIONING THE SPATIAL VARIATION OF COMMUNITY COMPOSITION DATA
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20051046
17
Improving indicator species analysis by combining groups of sites
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20101015
18
Beta diversity as the variance of community data: dissimilarity coefficients and partitioning
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2013999
19
Interpreting the replacement and richness difference components of beta diversity
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2014788
20
DISSECTING THE SPATIAL STRUCTURE OF ECOLOGICAL DATA AT MULTIPLE SCALES
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2004787

About Pierre Legendre

Pierre Legendre is a scholar working on Ecology, Nature and Landscape Conservation, Global and Planetary Change, Oceanography and Ecological Modeling, having authored 411 papers that have together received 71.4k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (91 papers), Species Distribution and Climate Change (47 papers), Fish Ecology and Management Studies (42 papers), Plant and animal studies (36 papers), Marine Biology and Ecology Research (34 papers), Land Use and Ecosystem Services (29 papers), Marine and fisheries research (28 papers) and Isotope Analysis in Ecology (24 papers). The work is most often cited by research in Nature and Landscape Conservation (29.7k citations), Ecological Modeling (9.0k citations), Ecology (32.8k citations), Ecology, Evolution, Behavior and Systematics (15.0k citations) and Global and Planetary Change (15.0k citations). Pierre Legendre has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Daniel Borcard, Marc Dufrêne, Miquel De Cáceres, Eugene D. Gallagher, Étienne Laliberté, Pedro R. Peres‐Neto, Pierre Drapeau, Stéphane Dray, Marti J. Anderson and Fionn Murtagh. Their work appears in journals such as Ecology, Canadian Journal of Fisheries and Aquatic Sciences, Global Ecology and Biogeography, Journal of Experimental Marine Biology and Ecology and Journal of Classification.

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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