Jorge Bardina
- Computational Mechanics top 2%
- Aerospace Engineering top 5%
- Mechanical Engineering
- Applied Mathematics top 5%
- Environmental Engineering top 10%
- Co-authors
- T. J. CoakleyP. G. HuangC. LOMBARDEthiraj VenkatapathyJoseph OligerElisabet CantóPatricia MoyaCarlos Zamora
- Topics
- Computational Fluid Dynamics and Aerodynamics (13 papers)Gas Dynamics and Kinetic Theory (11 papers)Fluid Dynamics and Turbulent Flows (10 papers)
- Partner nations
- United StatesSpainIsrael
In The Last Decade
Jorge Bardina
36 papers receiving 771 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Computational Mechanics 492
- Aerospace Engineering 353
- Mechanical Engineering 141
- Applied Mathematics 132
- Environmental Engineering 95
Countries citing papers authored by Jorge Bardina
This map shows the geographic impact of Jorge Bardina'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 Jorge Bardina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Bardina more than expected).
Fields of papers citing papers by Jorge Bardina
This network shows the impact of papers produced by Jorge Bardina. 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 Jorge Bardina. The network helps show where Jorge Bardina may publish in the future.
Co-authorship network of co-authors of Jorge Bardina
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Bardina. A scholar is included among the top collaborators of Jorge Bardina 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 Jorge Bardina. Jorge Bardina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | Exploration Medical Capability Medical System Recommendations for Gateway | 0 |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | Web-Based Toxic Gas Dispersion Model for Shuttle Launch Operations | 0 |
| 12 | 14 | |
| 13 | 9 | |
| 14 | Prediction of Aerodynamic Coefficients Using Neural Networks for Sparse Data | 14 |
| 15 | 2 | |
| 16 | 2 | |
| 17 | Turbulence compressibility corrections | 13 |
| 18 | 0 | |
| 19 | 26 | |
| 20 | 7 |
About Jorge Bardina
Jorge Bardina is a scholar working on Applied Mathematics, Aerospace Engineering and Computational Mechanics, having authored 44 papers that have together received 861 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (13 papers), Gas Dynamics and Kinetic Theory (11 papers) and Fluid Dynamics and Turbulent Flows (10 papers). The work is most often cited by research in Computational Mechanics (492 citations), Aerospace Engineering (353 citations) and Applied Mathematics (132 citations). Jorge Bardina has collaborated with scholars based in United States, Spain and Israel. Frequent co-authors include T. J. Coakley, P. G. Huang, C. LOMBARD, Ethiraj Venkatapathy, Joseph Oliger, Elisabet Cantó, Patricia Moya, Carlos Zamora, Ma Àngels Ortiz and Josep Maria Llobet. Their work appears in journals such as The Journal of Immunology, Scientific Reports and International Journal of Molecular Sciences.
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.