Lorenzo Pareschi
- Applied Mathematics top 0.2%
- Gas Dynamics and Kinetic Theory 59
- Modeling and Simulation top 0.5%
- Computational Mechanics top 0.2%
- Computational Fluid Dynamics and Aerodynamics 47
- Fluid Dynamics and Turbulent Flows 23
- Advanced Numerical Methods in Computational Mathematics 17
- Numerical Analysis top 1%
- Numerical methods for differential equations 14
- Statistical and Nonlinear Physics top 0.5%
- Opinion Dynamics and Social Influence 15
- Advanced Thermodynamics and Statistical Mechanics 13
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- Mathematical and Theoretical Epidemiology and Ecology Models 15
Lorenzo Pareschi
141 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Applied Mathematics 1.8k
- Modeling and Simulation 498
- Computational Mechanics 2.2k
- Numerical Analysis 563
- Statistical and Nonlinear Physics 912
Countries citing papers authored by Lorenzo Pareschi
This map shows the geographic impact of Lorenzo Pareschi'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 Lorenzo Pareschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Pareschi more than expected).
Fields of papers citing papers by Lorenzo Pareschi
This network shows the impact of papers produced by Lorenzo Pareschi. 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 Lorenzo Pareschi. The network helps show where Lorenzo Pareschi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lorenzo Pareschi, 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 | 2024 | 6 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 18 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 27 | |
| 8 | 2021 | 34 | |
| 9 | 2021 | 26 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 56 | |
| 13 | 2020 | 14 | |
| 14 | 2019 | 9 | |
| 15 | 2018 | 7 | |
| 16 | 2018 | 15 | |
| 17 | 2016 | 13 | |
| 18 | 2011 | 64 | |
| 19 | 2004 | 71 | |
| 20 | Large-time behaviour of some fully discrete kinetic models in bounded domains | 1991 | 1 |
About Lorenzo Pareschi
Lorenzo Pareschi is a scholar working on Applied Mathematics, Modeling and Simulation, Computational Mechanics, Numerical Analysis and Statistical and Nonlinear Physics, having authored 147 papers that have together received 4.4k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (59 papers), Computational Fluid Dynamics and Aerodynamics (47 papers), Fluid Dynamics and Turbulent Flows (23 papers), Advanced Numerical Methods in Computational Mathematics (17 papers), Opinion Dynamics and Social Influence (15 papers), Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Numerical methods for differential equations (14 papers) and Advanced Thermodynamics and Statistical Mechanics (13 papers). The work is most often cited by research in Applied Mathematics (1.8k citations), Modeling and Simulation (498 citations), Computational Mechanics (2.2k citations), Numerical Analysis (563 citations) and Statistical and Nonlinear Physics (912 citations). Lorenzo Pareschi has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Giovanni Russo, Giacomo Dimarco, Giuseppe Toscani, Shi Jin, Giovanni Naldi, Mattia Zanella, Giacomo Albi, Sebastiano Boscarino, Michaël Herty and Francis Filbet. Their work appears in journals such as Journal of Computational Physics, SIAM Journal on Numerical Analysis, SIAM Journal on Scientific Computing, Mathematical Models and Methods in Applied Sciences 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.