Erwan Scornet

5.4k citations
18 papers · 3.4k indexed · 2 hit papers · h-index 11
Topics
Neural Networks and Applications (6 papers)Statistical Methods and Inference (6 papers)Machine Learning and Data Classification (5 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheoryBiometrika
Partner nations
FranceUnited States

In The Last Decade

Erwan Scornet

17 papers receiving 3.3k citations

Hit Papers

A random forest guided tour20152026201820222016201550010001.5k2.0k2.5k

Peers

Erwan Scornet
Comparison fields: 5 of 210
  • Artificial Intelligence 861
  • Environmental Engineering 413
  • Global and Planetary Change 305
  • Ecology 240
  • Electrical and Electronic Engineering 235
Replace Gérard Biau with:
Gérard Biau France
Kjell Johnson United States
Mingzhe Liu China
Miron B. Kursa Poland
Witold R. Rudnicki Poland
Gavin C. Cawley United Kingdom
Matthijs J. Warrens Netherlands
Luı́s Torgo Portugal
Jean‐Michel Poggi France
César Hervás‐Martínez Spain
Erwan Scornet relative to Gérard Biau France Gérard Biau's profile →
Citations per field
00.5×1.5×
Gérard Biau · 1×
Citations per year

Countries citing papers authored by Erwan Scornet

Since Specialization
Citations

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

Fields of papers citing papers by Erwan Scornet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erwan Scornet

This figure shows the co-authorship network connecting the top 25 collaborators of Erwan Scornet. A scholar is included among the top collaborators of Erwan Scornet 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 Erwan Scornet. Erwan Scornet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 3
3 28
4 9
5 43
6 27
7 20
8
NeuMiss networks: differentiable programming for supervised learning with missing values
9
9 7
10 22
11 4
12
Universal consistency and minimax rates for online Mondrian Forests
4
13 109
14 32
15
A random forest guided tourbreakdown →
2520
16 189
17 58
18
Consistency of random forestsbreakdown →
315

About Erwan Scornet

Erwan Scornet is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Statistical Methods and Inference (6 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Environmental Engineering (413 citations), Artificial Intelligence (861 citations) and Health Information Management (118 citations). Erwan Scornet has collaborated with scholars based in France and United States. Frequent co-authors include Gérard Biau, Jean‐Philippe Vert, Sébastien da Veiga, Stéphane Gaïffas, Gaël Varoquaux, Julie Josse, Thomas Moreau, Jean‐Claude Carel, Corinne Alberti and Sophie Guilmin‐Crépon. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Biometrika.

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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