François Deheeger

1.0k citations
3 papers · 772 indexed · 1 hit paper · h-index 3

François Deheeger

3 papers receiving 751 citations

Hit Papers

Metamodel-based importance sampling for structural reliab...4202013202620172021100200300400

Peers

François Deheeger
Comparison fields: 5 of 50
  • Statistics, Probability and Uncertainty 686
  • Computational Theory and Mathematics 318
  • Management Science and Operations Research 190
  • Safety, Risk, Reliability and Quality 128
  • Civil and Structural Engineering 291
Replace Chunyan Ling with:
Chunyan Ling China
V. Dubourg France
Jean‐Marc Bourinet France
Beiqing Huang United States
Diego A. Álvarez Colombia
Xiukai Yuan China
Nicolas Relun France
Roland Schöbi Switzerland
Liu Du United States
Zhenzhong Chen China
François Deheeger relative to Chunyan Ling China Chunyan Ling's profile →
Citations per field
00.5×6.3×
Chunyan Ling · 1×
Citations per year

Countries citing papers authored by François Deheeger

Since Specialization
Citations

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

Fields of papers citing papers by François Deheeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 6 scholars most cited alongside François Deheeger, 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 François Deheeger Line = papers co-authored together François Deheeger links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 202127
2
Metamodel-based importance sampling for structural reliability analysisbreakdown →
2013420
3 2011325

About François Deheeger

François Deheeger is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Computational Theory and Mathematics, having authored 3 papers that have together received 772 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (2 papers), Structural Health Monitoring Techniques (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper), Viral Infections and Vectors (1 paper), Viral Infections and Outbreaks Research (1 paper), Optimal Experimental Design Methods (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Concrete Corrosion and Durability (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (686 citations), Computational Theory and Mathematics (318 citations) and Management Science and Operations Research (190 citations). François Deheeger has collaborated with scholars based in France and Switzerland. Frequent co-authors include Bruno Sudret, V. Dubourg, Jean‐Marc Bourinet, Maurice Lemaire, Mathilde Mougeot and Nicolas Vayatis. Their work appears in journals such as Probabilistic Engineering Mechanics, Structural Safety and arXiv (Cornell University).

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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