Marco D. de Tullio
- Computational Mechanics top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Biomedical Engineering top 10%
- Aerospace Engineering top 10%
- Surgery
- Co-authors
- G. PascazioRoberto VerziccoP. De PalmaM. NapolitanoElias BalarasGianluca IaccarinoDomenico M. DoronzoPierfrancesco Dellino
- Topics
- Lattice Boltzmann Simulation Studies (23 papers)Fluid Dynamics and Turbulent Flows (14 papers)Fluid Dynamics and Vibration Analysis (14 papers)
- Cited by
- Computational MechanicsCardiology and Cardiovascular MedicineFluid Flow and Transfer Processes
- Partner nations
- ItalyUnited StatesMexico
In The Last Decade
Marco D. de Tullio
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Computational Mechanics 716
- Cardiology and Cardiovascular Medicine 327
- Biomedical Engineering 294
- Aerospace Engineering 174
- Surgery 147
Countries citing papers authored by Marco D. de Tullio
This map shows the geographic impact of Marco D. de Tullio'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 Marco D. de Tullio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco D. de Tullio more than expected).
Fields of papers citing papers by Marco D. de Tullio
This network shows the impact of papers produced by Marco D. de Tullio. 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 Marco D. de Tullio. The network helps show where Marco D. de Tullio may publish in the future.
Co-authorship network of co-authors of Marco D. de Tullio
This figure shows the co-authorship network connecting the top 25 collaborators of Marco D. de Tullio. A scholar is included among the top collaborators of Marco D. de Tullio 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 Marco D. de Tullio. Marco D. de Tullio 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 11 | |
| 12 | 7 | |
| 13 | 37 | |
| 14 | 18 | |
| 15 | 131 | |
| 16 | 28 | |
| 17 | 10 | |
| 18 | Mount St. Helens (Washington, USA) and World Trade Center (New York, USA) collapse: a fluid dynamic analogy | 1 |
| 19 | 5 | |
| 20 | Recent advances in the immersed boundary method | 5 |
About Marco D. de Tullio
Marco D. de Tullio is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Earth-Surface Processes, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (23 papers), Fluid Dynamics and Turbulent Flows (14 papers) and Fluid Dynamics and Vibration Analysis (14 papers). The work is most often cited by research in Computational Mechanics (716 citations), Cardiology and Cardiovascular Medicine (327 citations) and Fluid Flow and Transfer Processes (77 citations). Marco D. de Tullio has collaborated with scholars based in Italy, United States and Mexico. Frequent co-authors include G. Pascazio, Roberto Verzicco, P. De Palma, M. Napolitano, Elias Balaras, Gianluca Iaccarino, Domenico M. Doronzo, Pierfrancesco Dellino, Paolo Decuzzi and Vamsi Spandan. Their work appears in journals such as Nature Communications, Biomaterials and Journal of Fluid Mechanics.
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.