G. Buzzi Ferraris
- Computational Mechanics top 10%
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Materials Chemistry
- Fluid Flow and Transfer Processes top 5%
- Co-authors
- Davide MancaMassimo MorbidelliE. RanziAlessio FrassoldatiH. HofmannTiziano FaravelliGerhard EmigAlberto Cuoci
- Topics
- Process Optimization and Integration (3 papers)Catalytic Processes in Materials Science (2 papers)Ammonia Synthesis and Nitrogen Reduction (2 papers)
- Partner nations
- ItalyAustraliaUnited States
In The Last Decade
G. Buzzi Ferraris
19 papers receiving 345 citations
Peers
Comparison fields: 5 of 61
- Computational Mechanics 113
- Biomedical Engineering 97
- Control and Systems Engineering 95
- Materials Chemistry 94
- Fluid Flow and Transfer Processes 92
Countries citing papers authored by G. Buzzi Ferraris
This map shows the geographic impact of G. Buzzi Ferraris'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 G. Buzzi Ferraris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Buzzi Ferraris more than expected).
Fields of papers citing papers by G. Buzzi Ferraris
This network shows the impact of papers produced by G. Buzzi Ferraris. 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 G. Buzzi Ferraris. The network helps show where G. Buzzi Ferraris may publish in the future.
Co-authorship network of co-authors of G. Buzzi Ferraris
This figure shows the co-authorship network connecting the top 25 collaborators of G. Buzzi Ferraris. A scholar is included among the top collaborators of G. Buzzi Ferraris 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 G. Buzzi Ferraris. G. Buzzi Ferraris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Use of detailed kinetic models for multiscale process simulations of sulfur recovery units | 1 |
| 2 | 2 | |
| 3 | 78 | |
| 4 | Combustion Modeling of Ethylene Furnaces applying Ultra Low NOx LSVTM Burners | 1 |
| 5 | Optimal design of burners and furnaces with CFD simulations and detailed kinetics | 1 |
| 6 | Post-processing of CFD computations with detailed kinetics | 0 |
| 7 | 22 | |
| 8 | 3 | |
| 9 | 51 | |
| 10 | 23 | |
| 11 | 65 | |
| 12 | 9 | |
| 13 | 14 | |
| 14 | 8 | |
| 15 | 27 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | 24 | |
| 19 | 1 | |
| 20 | 18 |
About G. Buzzi Ferraris
G. Buzzi Ferraris is a scholar working on Catalysis, Numerical Analysis and Physical and Theoretical Chemistry, having authored 21 papers that have together received 366 indexed citations. Recurring topics across this work include Process Optimization and Integration (3 papers), Catalytic Processes in Materials Science (2 papers) and Ammonia Synthesis and Nitrogen Reduction (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (92 citations), Catalysis (64 citations) and Computational Mechanics (113 citations). G. Buzzi Ferraris has collaborated with scholars based in Italy, Australia and United States. Frequent co-authors include Davide Manca, Massimo Morbidelli, E. Ranzi, Alessio Frassoldati, H. Hofmann, Tiziano Faravelli, Gerhard Emig, Alberto Cuoci, Enrico Tronconi and Richard S. Todd. Their work appears in journals such as International Journal of Hydrogen Energy, Chemical Engineering Science and AIChE Journal.
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.