Hervé Cardot

3.2k citations
65 papers · 2.0k indexed · h-index 23
Topics
Statistical Methods and Inference (29 papers)Advanced Statistical Methods and Models (20 papers)Bayesian Methods and Mixture Models (11 papers)
Partner nations
FranceMoroccoItaly

In The Last Decade

Hervé Cardot

59 papers receiving 1.9k citations

Peers

Hervé Cardot
Comparison fields: 5 of 146
  • Statistics and Probability 1.1k
  • Artificial Intelligence 487
  • Control and Systems Engineering 203
  • Environmental Engineering 184
  • Global and Planetary Change 167
Replace D. J. Best with:
D. J. Best Australia
Sadanori Konishi Japan
Chong Gu United States
Manuel Febrero–Bande Spain
Probal Chaudhuri India
Mariano J. Valderrama Spain
Brett Presnell United States
Antonio Cuevas Spain
Wenceslao González–Manteiga Spain
Ola Hössjer Sweden
Hervé Cardot relative to D. J. Best Australia D. J. Best's profile →
Citations per field
00.5×2.7×
D. J. Best · 1×
Citations per year

Countries citing papers authored by Hervé Cardot

Since Specialization
Citations

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

Fields of papers citing papers by Hervé Cardot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hervé Cardot

This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Cardot. A scholar is included among the top collaborators of Hervé Cardot 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 Hervé Cardot. Hervé Cardot 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 0
3 1
4 5
5 7
6 0
7 9
8 10
9 58
10
Analysing large datasets of functional data: a survey sampling point of view
3
11 16
12 18
13 7
14 56
15
Fast clustering of large datasets with sequential $k$-medians : a stochastic gradient approach
4
16 38
17 10
18 33
19 95
20 13

About Hervé Cardot

Hervé Cardot is a scholar working on Statistics and Probability, Tourism, Leisure and Hospitality Management and Statistics, Probability and Uncertainty, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (29 papers), Advanced Statistical Methods and Models (20 papers) and Bayesian Methods and Mixture Models (11 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Statistics, Probability and Uncertainty (110 citations) and Artificial Intelligence (487 citations). Hervé Cardot has collaborated with scholars based in France, Morocco and Italy. Frequent co-authors include Pascal Sarda, Frédéric Ferraty, Philippe Besse, André Mas, David B. Stephenson, P. Sardà, Christophe Crambes, Mohamed Hilal, Pierre Wavresky and Jean Cavailhès. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and International Journal of Radiation Oncology*Biology*Physics.

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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