Stochastic Partial Differential Equations Analysis and Computations

310 papers and 1.9k indexed citations i.

About

The 310 papers published in Stochastic Partial Differential Equations Analysis and Computations in the last decades have received a total of 1.9k indexed citations. Papers published in Stochastic Partial Differential Equations Analysis and Computations usually cover Finance (191 papers), Mathematical Physics (145 papers) and Computational Theory and Mathematics (110 papers) specifically the topics of Stochastic processes and financial applications (191 papers), Advanced Mathematical Modeling in Engineering (108 papers) and Stochastic processes and statistical mechanics (58 papers). The most active scholars publishing in Stochastic Partial Differential Equations Analysis and Computations are Н. В. Крылов, Yu Gu, István Gyöngy, Panagiotis E. Souganidis, Pierre‐Louis Lions, Massimiliano Gubinelli, Le Chen, Robert C. Dalang, Fabio Nobile and David Nualart.

In The Last Decade

Fields of papers published in Stochastic Partial Differential Equations Analysis and Computations

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Stochastic Partial Differential Equations Analysis and Computations. 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 Stochastic Partial Differential Equations Analysis and Computations.

Countries where authors publish in Stochastic Partial Differential Equations Analysis and Computations

Since Specialization
Citations

This map shows the geographic impact of research published in Stochastic Partial Differential Equations Analysis and Computations. 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 Stochastic Partial Differential Equations Analysis and Computations with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stochastic Partial Differential Equations Analysis and Computations 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