Olga Mula
Impact in
-
- Model Reduction and Neural Networks
-
- Probabilistic and Robust Engineering Design
Papers in
-
- Model Reduction and Neural Networks 10
-
- Advanced Numerical Methods in Computational Mathematics 3
- Co-authors
- Damiano Lombardi (5 shared papers)Albert Cohen (4 shared papers)James Nichols (3 shared papers)Yvon Maday (1 shared paper)A.T. Patera (1 shared paper)Masayuki Yano (1 shared paper)Wolfgang Dahmen (3 shared papers)B. Bouriquet (1 shared paper)
- Journals
- SIAM Journal on Scientific Computing (2 papers)SIAM/ASA Journal on Uncertainty Quantification (2 papers)Journal of Computational Physics (1 paper)Computer Methods in Applied Mechanics and Engineering (1 paper)Journal of Scientific Computing (1 paper)
- Partner nations
- FranceNetherlandsUnited States
In The Last Decade
Olga Mula
20 papers receiving 240 citations
Peers
Comparison fields: 5 of 49
- Statistical and Nonlinear Physics 140
- Statistics, Probability and Uncertainty 66
- Numerical Analysis 23
- Computational Mathematics 2
- Computational Mechanics 69
Countries citing papers authored by Olga Mula
This map shows the geographic impact of Olga Mula'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 Olga Mula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Mula more than expected).
Fields of papers citing papers by Olga Mula
This network shows the impact of papers produced by Olga Mula. 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 Olga Mula. The network helps show where Olga Mula may publish in the future.
Co-authors
The 22 scholars most cited alongside Olga Mula, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 51 | |
| 2 | 2015 | 45 | |
| 3 | 2019 | 29 | |
| 4 | 2018 | 27 | |
| 5 | 2020 | 16 | |
| 6 | 2020 | 15 | |
| 7 | 2018 | 12 | |
| 8 | 2022 | 12 | |
| 9 | Reconstructing Haemodynamics Quantities of Interest from Doppler Ultrasound Imaging | 2021 | 10 |
| 10 | 2022 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Olga Mula
Olga Mula is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Control and Systems Engineering, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 20 papers that have together received 249 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (10 papers), Probabilistic and Robust Engineering Design (6 papers), Control Systems and Identification (4 papers), Numerical methods in inverse problems (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Seismic Imaging and Inversion Techniques (2 papers), Numerical methods for differential equations (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (140 citations), Statistics, Probability and Uncertainty (66 citations), Numerical Analysis (23 citations), Computational Mathematics (2 citations) and Computational Mechanics (69 citations). Olga Mula has collaborated with scholars based in France, Netherlands and United States. Frequent co-authors include Damiano Lombardi, Albert Cohen, James Nichols, Yvon Maday, A.T. Patera, Masayuki Yano, Wolfgang Dahmen, B. Bouriquet, Virginie Ehrlacher and Yvon Maday. Their work appears in journals such as SIAM Journal on Scientific Computing, SIAM/ASA Journal on Uncertainty Quantification, Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Journal of Scientific Computing.
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.