Bertrand Michel

2.8k citations
34 papers · 1.3k indexed · 1 hit paper · h-index 10
Topics
Topological and Geometric Data Analysis (10 papers)Computational Fluid Dynamics and Aerodynamics (6 papers)Fluid Dynamics and Turbulent Flows (5 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsBMC Bioinformatics

In The Last Decade

Bertrand Michel

30 papers receiving 1.3k citations

Hit Papers

Correlation and variable importance in random forests20162026201920222016200400600

Peers

Bertrand Michel
Comparison fields: 5 of 181
  • Artificial Intelligence 295
  • Computational Theory and Mathematics 208
  • Statistics and Probability 150
  • Molecular Biology 131
  • Global and Planetary Change 131
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Citations per field
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Citations per year

Countries citing papers authored by Bertrand Michel

Since Specialization
Citations

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

Fields of papers citing papers by Bertrand Michel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bertrand Michel

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 0
4 2
5 2
6 12
7 8
8
Statistical analysis and parameter selection for Mapper
0
9 259
10
Correlation and variable importance in random forestsbreakdown →
676
11 2
12 4
13 8
14 8
15 99
16 16
17 8
18 3
19 14
20 13

About Bertrand Michel

Bertrand Michel is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Statistics and Probability, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (10 papers), Computational Fluid Dynamics and Aerodynamics (6 papers) and Fluid Dynamics and Turbulent Flows (5 papers). The work is most often cited by research in Statistics and Probability (150 citations), Computational Mathematics (8 citations) and Computational Theory and Mathematics (208 citations). Bertrand Michel has collaborated with scholars based in France, United Kingdom and Brazil. Frequent co-authors include Philippe Pierre, Baptiste Gregorutti, Frédéric Chazal, Cathy Maugis, Jérôme Dedecker, Paola Cinnella, A. Lerat, Anthony Nouy, Philippe Juin and Mario Campone. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and BMC Bioinformatics.

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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