Pierre‐André Cornillon

690 citations
22 papers · 461 · h-index 8

Impact in

    • Advanced Statistical Methods and Models
    • Statistical Methods and Applications
    • Statistical Methods and Inference
    • Advanced Clustering Algorithms Research
    • Bayesian Methods and Mixture Models

Papers in

Pierre‐André Cornillon

20 papers receiving 431 citations

Peers

Pierre‐André Cornillon
Comparison fields: 5 of 83
  • Statistics and Probability 132
  • Artificial Intelligence 158
  • Nature and Landscape Conservation 34
  • Signal Processing 25
  • Global and Planetary Change 56
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Citations per year

Countries citing papers authored by Pierre‐André Cornillon

Since Specialization
Citations

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

Fields of papers citing papers by Pierre‐André Cornillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Pierre‐André Cornillon, 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‐André Cornillon Line = papers co-authored together Pierre‐André Cornillon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003261
2 200087
3 200717
4 202114
5 201113
6 201212
7 200711
8 20039
9 20008
10 20128
11 20135
12
Statistique avec R
20083
13 20153
14 19992
15 20152
16 19991
17 20071
18
ibr: Iterative bias reduction multivariate smoothing
20091
19
Prévision de la consommation d'électricité par correction itérative du biais
20091
20 20121

About Pierre‐André Cornillon

Pierre‐André Cornillon is a scholar working on Statistics and Probability, Artificial Intelligence, Ecology, Evolution, Behavior and Systematics, Paleontology and Nature and Landscape Conservation, having authored 22 papers that have together received 461 indexed citations. Recurring topics across this work include Statistical Methods and Applications (11 papers), Advanced Statistical Methods and Models (5 papers), Data Analysis with R (4 papers), Statistical Methods and Inference (4 papers), Animal Behavior and Reproduction (3 papers), Energy Load and Power Forecasting (3 papers), Advanced Clustering Algorithms Research (2 papers) and Marine and fisheries research (2 papers). The work is most often cited by research in Statistics and Probability (132 citations), Artificial Intelligence (158 citations), Nature and Landscape Conservation (34 citations), Signal Processing (25 citations) and Global and Planetary Change (56 citations). Pierre‐André Cornillon has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Éric Matzner-Løber, Christophe Abraham, Nicolas Molinari, Marie-Joëlle Rochet, Dominique Pontier, Robert Sabatier, Nicolas Hengartner, Marion Desquilbet, Jean‐Marc Bonmatin and Laurence Gaume. Their work appears in journals such as Forest Ecology and Management, Nature Ecology & Evolution, Journal of Statistical Software, Journal of Theoretical Biology and Scandinavian Journal of Statistics.

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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