Masoumeh Dashti

15 papers and 467 indexed citations i.

About

Masoumeh Dashti is a scholar working on Artificial Intelligence, Computational Mechanics and Mathematical Physics. According to data from OpenAlex, Masoumeh Dashti has authored 15 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computational Mechanics and 4 papers in Mathematical Physics. Recurrent topics in Masoumeh Dashti’s work include Gaussian Processes and Bayesian Inference (4 papers), Inverse Problems in Mathematical Physics and Imaging (3 papers) and Mathematical Modeling of Fluid Dynamics (3 papers). Masoumeh Dashti is often cited by papers focused on Gaussian Processes and Bayesian Inference (4 papers), Inverse Problems in Mathematical Physics and Imaging (3 papers) and Mathematical Modeling of Fluid Dynamics (3 papers). Masoumeh Dashti collaborates with scholars based in United Kingdom, Finland and Cyprus. Masoumeh Dashti's co-authors include Andrew M. Stuart, Simon L. Cotter, James C. Robinson, Jochen Voß, Kody J. H. Law, Stephen Harris, Tapio Helin, Sergios Agapiou, James C. Robinson and Martin Burger and has published in prestigious journals such as Scientific Reports, SIAM Journal on Numerical Analysis and Archive for Rational Mechanics and Analysis.

In The Last Decade

Co-authorship network of co-authors of Masoumeh Dashti i

Fields of papers citing papers by Masoumeh Dashti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masoumeh Dashti

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025