Franca Hoffmann
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Applied Mathematics top 5%
- Nonlinear Partial Differential Equations
Papers in
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- Gaussian Processes and Bayesian Inference 3
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- Model Reduction and Neural Networks 2
- Co-authors
- Alfredo Garbuno-Iñigo (1 shared paper)Andrew M. Stuart (1 shared paper)Wuchen Li (1 shared paper)José A. Carrillo (4 shared papers)Vincent Calvez (1 shared paper)Edoardo Mainini (1 shared paper)Bruno Volzone (1 shared paper)Isaac Holmes‐Gentle (1 shared paper)
- Journals
- Archive for Rational Mechanics and Analysis (2 papers)ESAIM Control Optimisation and Calculus of Variations (1 paper)SIAM Journal on Numerical Analysis (1 paper)Nonlinear Analysis (1 paper)Sustainable Energy & Fuels (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Franca Hoffmann
16 papers receiving 248 citations
Peers
Comparison fields: 5 of 60
- Modeling and Simulation 61
- Applied Mathematics 65
- Mathematical Physics 42
- Statistics and Probability 28
- Computational Theory and Mathematics 42
Countries citing papers authored by Franca Hoffmann
This map shows the geographic impact of Franca Hoffmann'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 Franca Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franca Hoffmann more than expected).
Fields of papers citing papers by Franca Hoffmann
This network shows the impact of papers produced by Franca Hoffmann. 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 Franca Hoffmann. The network helps show where Franca Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Franca Hoffmann, 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 | 2020 | 99 | |
| 2 | 2018 | 34 | |
| 3 | 2017 | 32 | |
| 4 | 2017 | 27 | |
| 5 | 2017 | 16 | |
| 6 | 2018 | 14 | |
| 7 | 2015 | 13 | |
| 8 | 2021 | 8 | |
| 9 | 2017 | 6 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2006 | 1 | |
| 16 | 2025 | 1 | |
| 17 | Geometric structure of graph Laplacian embeddings | 2021 | 0 |
| 18 | 2025 | 0 |
About Franca Hoffmann
Franca Hoffmann is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 18 papers that have together received 261 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (4 papers), Gaussian Processes and Bayesian Inference (3 papers), Markov Chains and Monte Carlo Methods (3 papers), Mathematical Biology Tumor Growth (3 papers), Advanced Mathematical Modeling in Engineering (3 papers), Numerical methods in inverse problems (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Modeling and Simulation (61 citations), Applied Mathematics (65 citations), Mathematical Physics (42 citations), Statistics and Probability (28 citations) and Computational Theory and Mathematics (42 citations). Franca Hoffmann has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Alfredo Garbuno-Iñigo, Andrew M. Stuart, Wuchen Li, José A. Carrillo, Vincent Calvez, Edoardo Mainini, Bruno Volzone, Isaac Holmes‐Gentle, Camilo A. Mesa and Klaus Hellgardt. Their work appears in journals such as Archive for Rational Mechanics and Analysis, ESAIM Control Optimisation and Calculus of Variations, SIAM Journal on Numerical Analysis, Nonlinear Analysis and Sustainable Energy & Fuels.
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.