Karine Bertin

410 citations
18 papers · 221 · h-index 9

Impact in

    • Statistical Methods and Inference
    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
  • Finance top 10%
    • Financial Risk and Volatility Modeling
    • Stochastic processes and financial applications

Papers in

Karine Bertin

18 papers receiving 216 citations

Peers

Karine Bertin
Comparison fields: 5 of 48
  • Statistics and Probability 153
  • Finance 54
  • Statistics, Probability and Uncertainty 22
  • Numerical Analysis 14
  • Artificial Intelligence 74
Replace Claire Lacour with:
Claire Lacour France
Yannis G. Yatracos Canada
Wolfgang Wertz Austria
Dominique Fourdrinier France
Tadeusz Inglot Poland
Christophe Crambes France
Michel Broniatowski France
K. Dzhaparidze Netherlands
Lincheng Zhao China
Nickos Papadatos Greece
Karine Bertin relative to Claire Lacour France Claire Lacour's profile →
Citations per field
00.5×1.5×
Claire Lacour · 1×
Citations per year

Countries citing papers authored by Karine Bertin

Since Specialization
Citations

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

Fields of papers citing papers by Karine Bertin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Karine Bertin, 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 Karine Bertin Line = papers co-authored together Karine Bertin links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201358
2 201020
3 200820
4 201019
5 201618
6 201117
7 201113
8 201312
9 200910
10 20048
11 20146
12 20035
13 20084
14 20234
15 20163
16 20182
17 20161
18 20201

About Karine Bertin

Karine Bertin is a scholar working on Statistics and Probability, Artificial Intelligence, Numerical Analysis, Control and Systems Engineering and Finance, having authored 18 papers that have together received 221 indexed citations. Recurring topics across this work include Statistical Methods and Inference (15 papers), Bayesian Methods and Mixture Models (9 papers), Mathematical Approximation and Integration (5 papers), Control Systems and Identification (4 papers), Markov Chains and Monte Carlo Methods (2 papers), Probabilistic and Robust Engineering Design (2 papers), Stochastic processes and financial applications (2 papers) and Financial Risk and Volatility Modeling (2 papers). The work is most often cited by research in Statistics and Probability (153 citations), Finance (54 citations), Statistics, Probability and Uncertainty (22 citations), Numerical Analysis (14 citations) and Artificial Intelligence (74 citations). Karine Bertin has collaborated with scholars based in France, Chile and United States. Frequent co-authors include Vincent Rivoirard, Carolina Marchant, Víctor Leiva, Helton Saulo, Ciprian A. Tudor, Soledad Torres, Guillaume Lecué, Erwan Le Pennec, Claire Lacour and Meïli Baragatti. Their work appears in journals such as Electronic Journal of Statistics, Annales de l Institut Henri Poincaré Probabilités et Statistiques, Journal of Statistical Planning and Inference, Bernoulli and ESAIM Probability and 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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