SIAM/ASA Journal on Uncertainty Quantification

6.0k citations
536 papers · · active since 2016

Impact in

Papers in

SIAM/ASA Journal on Uncertainty Quantification

479 papers receiving 5.6k citations

Peers

SIAM/ASA Journal on Uncertainty Quantification
Comparison fields: 5 of 142
  • Statistics, Probability and Uncertainty 2.5k
  • Computational Mathematics 109
  • Statistical and Nonlinear Physics 1.1k
  • Computational Theory and Mathematics 1.4k
  • Statistics and Probability 655
Replace International Journal for Uncertainty Quantification with:
International Journal for Uncertainty Quantification United States
Mathematics of Control Signals and Systems United States
Analysis and Applications China
Bayesian Analysis United States
Journal of Classification United States
Mathematical and Computer Modelling of Dynamical Systems Germany
Computing and Visualization in Science Germany
ACM Transactions on Modeling and Computer Simulation United States
Advances in Data Analysis and Classification Italy
Springer monographs in mathematics United States
SIAM/ASA Journal on Uncertainty Quantification relative to International Journal for Uncertainty Quantification United States International Journal for Uncertainty Quantification's profile →
Citations per field
00.5×2×4×6.8×
International Journal for Uncertainty Quantification · 1×
Citations per year

Countries where authors publish in SIAM/ASA Journal on Uncertainty Quantification

Since Specialization
Citations

This map shows the geographic impact of research published in SIAM/ASA Journal on 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 SIAM/ASA Journal on 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 SIAM/ASA Journal on Uncertainty Quantification more than expected).

Fields of papers published in SIAM/ASA Journal on Uncertainty Quantification

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in SIAM/ASA Journal on 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 SIAM/ASA Journal on Uncertainty Quantification.

About SIAM/ASA Journal on Uncertainty Quantification

The 536 papers published in SIAM/ASA Journal on Uncertainty Quantification in the last decades have received a total of 6.0k indexed citations . Papers published in SIAM/ASA Journal on Uncertainty Quantification usually cover Statistics, Probability and Uncertainty (289 papers), Computational Mathematics (13 papers), Statistics and Probability (123 papers), Statistical and Nonlinear Physics (124 papers) and Computational Theory and Mathematics (149 papers) specifically the topics of Probabilistic and Robust Engineering Design (287 papers), Advanced Multi-Objective Optimization Algorithms (117 papers), Gaussian Processes and Bayesian Inference (116 papers), Model Reduction and Neural Networks (83 papers), Markov Chains and Monte Carlo Methods (67 papers), Statistical Methods and Inference (60 papers), Advanced Numerical Methods in Computational Mathematics (35 papers) and Optimal Experimental Design Methods (29 papers). The most active scholars publishing in SIAM/ASA Journal on Uncertainty Quantification are Art B. Owen, Loïc Le Gratiet, Christian Soize, Benjamin Peherstorfer, Rui Tuo, Aretha L. Teckentrup, Bruno Sudret, Andrew M. Stuart, Drew Kouri and Alfio Maria Quarteroni.

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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