SIAM/ASA Journal on Uncertainty Quantification

550 papers and 6.7k indexed citations i.

About

The 550 papers published in SIAM/ASA Journal on Uncertainty Quantification in the last decades have received a total of 6.7k indexed citations. Papers published in SIAM/ASA Journal on Uncertainty Quantification usually cover Statistics, Probability and Uncertainty (321 papers), Computational Theory and Mathematics (157 papers) and Artificial Intelligence (152 papers) specifically the topics of Probabilistic and Robust Engineering Design (318 papers), Advanced Multi-Objective Optimization Algorithms (120 papers) and Gaussian Processes and Bayesian Inference (110 papers). The most active scholars publishing in SIAM/ASA Journal on Uncertainty Quantification are Art B. Owen, Sharif Rahman, Loïc Le Gratiet, Aretha L. Teckentrup, Youssef Marzouk, Serge Guillas, Christian Soize, Bruno Sudret, Benjamin Peherstorfer and Drew Kouri.

In The Last Decade

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.

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).

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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2025