Giacomo Falcucci
- Computational Mechanics top 0.5%
- Electrical and Electronic Engineering top 5%
- Mechanical Engineering top 10%
- Biomedical Engineering
- Environmental Engineering top 5%
- Co-authors
- Sauro SucciStefano UbertiniElio JannelliVesselin K. KrastevMariagiovanna MinutilloAndrea MontessoriMaurizio PorfiriAlessandro De Rosis
- Topics
- Lattice Boltzmann Simulation Studies (51 papers)Aerosol Filtration and Electrostatic Precipitation (22 papers)Fluid Dynamics and Turbulent Flows (17 papers)
- Cited by
- Computational MechanicsEnergy Engineering and Power TechnologyFluid Flow and Transfer Processes
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Giacomo Falcucci
99 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 96
- Computational Mechanics 1.5k
- Electrical and Electronic Engineering 949
- Mechanical Engineering 285
- Biomedical Engineering 239
- Environmental Engineering 228
Countries citing papers authored by Giacomo Falcucci
This map shows the geographic impact of Giacomo Falcucci'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 Giacomo Falcucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giacomo Falcucci more than expected).
Fields of papers citing papers by Giacomo Falcucci
This network shows the impact of papers produced by Giacomo Falcucci. 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 Giacomo Falcucci. The network helps show where Giacomo Falcucci may publish in the future.
Co-authorship network of co-authors of Giacomo Falcucci
This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo Falcucci. A scholar is included among the top collaborators of Giacomo Falcucci 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 Giacomo Falcucci. Giacomo Falcucci 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 | 7 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 103 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 25 | |
| 14 | 50 | |
| 15 | 17 | |
| 16 | 56 | |
| 17 | 74 | |
| 18 | 21 | |
| 19 | 38 | |
| 20 | Lattice Boltzmann Models with Mid-Range Interactions | 82 |
About Giacomo Falcucci
Giacomo Falcucci is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Energy Engineering and Power Technology, having authored 101 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (51 papers), Aerosol Filtration and Electrostatic Precipitation (22 papers) and Fluid Dynamics and Turbulent Flows (17 papers). The work is most often cited by research in Computational Mechanics (1.5k citations), Energy Engineering and Power Technology (72 citations) and Fluid Flow and Transfer Processes (113 citations). Giacomo Falcucci has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Sauro Succi, Stefano Ubertini, Elio Jannelli, Vesselin K. Krastev, Mariagiovanna Minutillo, Andrea Montessori, Maurizio Porfiri, Alessandro De Rosis, Francesco Ubertini and Gino Bella. Their work appears in journals such as Nature, Physical Review Letters and The Journal of Chemical Physics.
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.