International Journal for Uncertainty Quantification

4.9k citations
330 papers · · active since 1950

Impact in

Papers in

International Journal for Uncertainty Quantification

302 papers receiving 4.7k citations

Peers

International Journal for Uncertainty Quantification
Comparison fields: 5 of 144
  • Statistics, Probability and Uncertainty 2.0k
  • Management Science and Operations Research 1.5k
  • Computational Theory and Mathematics 1.2k
  • Statistics and Probability 530
  • Statistical and Nonlinear Physics 554
Replace SIAM/ASA Journal on Uncertainty Quantification with:
SIAM/ASA Journal on Uncertainty Quantification United States
Operations research, computer science. Interface series United States
Reliable Computing United States
Annual Review of Statistics and Its Application United States
Handbooks in operations research and management science United States
Complex Systems United States
Annals of Data Science India
Computational Management Science United States
Swarm Intelligence United States
Statistical Analysis and Data Mining The ASA Data Science Journal United States
International Journal for Uncertainty Quantification relative to SIAM/ASA Journal on Uncertainty Quantification United States SIAM/ASA Journal on Uncertainty Quantification's profile →
Citations per field
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SIAM/ASA Journal on Uncertainty Quantification · 1×
Citations per year

Countries where authors publish in International Journal for Uncertainty Quantification

Since Specialization
Citations

This map shows the geographic impact of research published in International Journal for Uncertainty Quantification. 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 papers published in International Journal for Uncertainty Quantification with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites International Journal for Uncertainty Quantification more than expected).

Fields of papers published in International Journal for Uncertainty Quantification

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Journal for Uncertainty Quantification. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in International Journal for Uncertainty Quantification.

About International Journal for Uncertainty Quantification

The 330 papers published in International Journal for Uncertainty Quantification in the last decades have received a total of 4.9k indexed citations . Papers published in International Journal for Uncertainty Quantification usually cover Statistics, Probability and Uncertainty (173 papers), Computational Theory and Mathematics (82 papers), Management Science and Operations Research (62 papers), Statistical and Nonlinear Physics (47 papers) and Computational Mathematics (2 papers) specifically the topics of Probabilistic and Robust Engineering Design (171 papers), Advanced Multi-Objective Optimization Algorithms (63 papers), Model Reduction and Neural Networks (38 papers), Gaussian Processes and Bayesian Inference (33 papers), Structural Health Monitoring Techniques (33 papers), Multi-Criteria Decision Making (25 papers), Wind and Air Flow Studies (17 papers) and Optimal Experimental Design Methods (15 papers). The most active scholars publishing in International Journal for Uncertainty Quantification are Harish Garg, Bruno Sudret, Josselin Garnier, Loïc Le Gratiet, Nancy Nancy, Joe Wiart, Roland Schöbi, James L. Beck, Sankaran Mahadevan and Xindong Peng.

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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