Masoumeh Dashti
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Statistics, Probability and Uncertainty top 2%
- Mathematical Physics top 10%
- Computational Mechanics
- Co-authors
- Andrew M. StuartSimon L. CotterJames C. RobinsonKody J. H. LawSergios AgapiouMartin BurgerTapio HelinFrancesco Di Lauro
- Topics
- Gaussian Processes and Bayesian Inference (3 papers)Navier-Stokes equation solutions (2 papers)COVID-19 epidemiological studies (2 papers)
- Partner nations
- United KingdomCyprusGermany
In The Last Decade
Masoumeh Dashti
12 papers receiving 301 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 132
- Statistics and Probability 124
- Statistics, Probability and Uncertainty 110
- Mathematical Physics 54
- Computational Mechanics 45
Countries citing papers authored by Masoumeh Dashti
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).
Fields of papers citing papers by Masoumeh Dashti
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.
Co-authorship network of co-authors of Masoumeh Dashti
This figure shows the co-authorship network connecting the top 25 collaborators of Masoumeh Dashti. A scholar is included among the top collaborators of Masoumeh Dashti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masoumeh Dashti. Masoumeh Dashti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | 18 | |
| 4 | 71 | |
| 5 | 49 | |
| 6 | 14 | |
| 7 | 70 | |
| 8 | 9 | |
| 9 | 76 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 8 |
About Masoumeh Dashti
Masoumeh Dashti is a scholar working on Modeling and Simulation, Numerical Analysis and Mathematical Physics, having authored 12 papers that have together received 347 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (3 papers), Navier-Stokes equation solutions (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (110 citations), Statistics and Probability (124 citations) and Mathematical Physics (54 citations). Masoumeh Dashti has collaborated with scholars based in United Kingdom, Cyprus and Germany. Frequent co-authors include Andrew M. Stuart, Simon L. Cotter, James C. Robinson, Kody J. H. Law, James C. Robinson, Sergios Agapiou, Martin Burger, Tapio Helin, Francesco Di Lauro and Luc Berthouze. Their work appears in journals such as Scientific Reports, SIAM Journal on Numerical Analysis and Mathematical Biosciences.
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.