Céline Helbert

31 papers receiving 348 citations

Peers

Céline Helbert
Comparison fields: 5 of 70
  • Statistics, Probability and Uncertainty 73
  • Computational Theory and Mathematics 59
  • Management Science and Operations Research 45
  • Numerical Analysis 11
  • Artificial Intelligence 74
Replace Guillaume Damblin with:
Guillaume Damblin France
Yann Richet France
Jean Baccou France
Luis Espath Saudi Arabia
Rémi Lafage France
Wolfgang Mauntz Germany
Peter W. Aitchison Canada
Étienne de Rocquigny France
Sean P. Kenny United States
Quan Long United States
Céline Helbert relative to Guillaume Damblin France Guillaume Damblin's profile →
Citations per field
00.5×2×2.8×
Guillaume Damblin · 1×
Citations per year

Countries citing papers authored by Céline Helbert

Since Specialization
Citations

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

Fields of papers citing papers by Céline Helbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Céline Helbert, 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 Céline Helbert Line = papers co-authored together Céline Helbert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201586
2 202035
3 200532
4 202029
5 200826
6 200824
7 200418
8 200916
9 201613
10 201612
11 201111
12 202311
13 20196
14 20195
15 20205
16 20234
17
Assessment of uncertainty in computer experiments: from universal kriging to bayesian kriging
20073
18 20233
19 20243
20 20162

About Céline Helbert

Céline Helbert is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics and Statistics and Probability, having authored 34 papers that have together received 357 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (14 papers), Probabilistic and Robust Engineering Design (12 papers), Optimal Experimental Design Methods (9 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Advanced Bandit Algorithms Research (3 papers), Thermal and Kinetic Analysis (3 papers), Climate variability and models (2 papers) and Soil Geostatistics and Mapping (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (73 citations), Computational Theory and Mathematics (59 citations), Management Science and Operations Research (45 citations), Numerical Analysis (11 citations) and Artificial Intelligence (74 citations). Céline Helbert has collaborated with scholars based in France. Frequent co-authors include Michèle Pijolat, Laurent Carraro, Loïc Favergeon A, Christophette Blanchet-scalliet A, Clémentine Prieur, François Bachoc, Victor Picheny, David Ginsbourger, Frédéric Gillot and F. Valdivieso. Their work appears in journals such as Reliability Engineering & System Safety, SIAM/ASA Journal on Uncertainty Quantification, Statistics and Computing, Quality and Reliability Engineering International and Applied Stochastic Models in Business and Industry.

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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