Irene M. Gamba
- Applied Mathematics top 0.5%
- Computational Mechanics top 1%
- Statistical and Nonlinear Physics top 2%
- Mathematical Physics top 5%
- Electrical and Electronic Engineering
- Co-authors
- José A. CarrilloA. V. BobylevChi‐Wang ShuArmando MajoranaYingda ChengP. MorrisonV. PanferovC. Cercignani
- Topics
- Gas Dynamics and Kinetic Theory (69 papers)Computational Fluid Dynamics and Aerodynamics (25 papers)Thermal properties of materials (19 papers)
- Journals
- Journal of Computational PhysicsComputer Methods in Applied Mechanics and EngineeringMathematics of Computation
- Partner nations
- United StatesItalySpain
In The Last Decade
Irene M. Gamba
91 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 70
- Applied Mathematics 1.1k
- Computational Mechanics 868
- Statistical and Nonlinear Physics 301
- Mathematical Physics 292
- Electrical and Electronic Engineering 216
Countries citing papers authored by Irene M. Gamba
This map shows the geographic impact of Irene M. Gamba'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 Irene M. Gamba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene M. Gamba more than expected).
Fields of papers citing papers by Irene M. Gamba
This network shows the impact of papers produced by Irene M. Gamba. 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 Irene M. Gamba. The network helps show where Irene M. Gamba may publish in the future.
Co-authorship network of co-authors of Irene M. Gamba
This figure shows the co-authorship network connecting the top 25 collaborators of Irene M. Gamba. A scholar is included among the top collaborators of Irene M. Gamba 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 Irene M. Gamba. Irene M. Gamba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | On Runge-Kutta discontinuous Galerkin schemes for Vlasov-Poisson systems | 1 |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 10 | |
| 14 | 27 | |
| 15 | 5 | |
| 16 | 13 | |
| 17 | 8 | |
| 18 | Viscous approximation to transonic gas dynamics: flow past profiles and charged-particle systems | 0 |
| 19 | 5 | |
| 20 | 2 |
About Irene M. Gamba
Irene M. Gamba is a scholar working on Applied Mathematics, Mathematical Physics and Computational Mechanics, having authored 98 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (69 papers), Computational Fluid Dynamics and Aerodynamics (25 papers) and Thermal properties of materials (19 papers). The work is most often cited by research in Applied Mathematics (1.1k citations), Computational Mechanics (868 citations) and Mathematical Physics (292 citations). Irene M. Gamba has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include José A. Carrillo, A. V. Bobylev, Chi‐Wang Shu, Armando Majorana, Yingda Cheng, P. Morrison, V. Panferov, C. Cercignani, J. Haack and Ansgar Jüngel. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.
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.