Alfred Berchielli
Impact in
- Computational Mechanics top 5%
- Fluid Dynamics and Heat Transfer
- Fluid Dynamics Simulations and Interactions
- Combustion and flame dynamics
- Surfaces, Coatings and Films top 10%
- Surface Modification and Superhydrophobicity
Papers in
-
- Drug Solubulity and Delivery Systems 5
-
- Phase Equilibria and Thermodynamics 2
- Nanofabrication and Lithography Techniques 2
- Co-authors
- Alberto Aliseda (2 shared papers)Juan C. Lasheras (1 shared paper)E. J. Hopfinger (1 shared paper)Mary T. am Ende (2 shared papers)Avinash G. Thombre (1 shared paper)Mahesh S. Tirumkudulu (4 shared papers)Pankaj Doshi (5 shared papers)Weili Yu (2 shared papers)
- Journals
- AAPS PharmSciTech (2 papers)Pharmaceutical Development and Technology (2 papers)International Journal of Multiphase Flow (1 paper)Drug Discovery Today (1 paper)Journal of Drug Delivery Science and Technology (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Alfred Berchielli
10 papers receiving 318 citations
Peers
Comparison fields: 5 of 49
- Computational Mechanics 225
- Surfaces, Coatings and Films 59
- Ocean Engineering 60
- Pharmaceutical Science 18
- Plant Science 68
Countries citing papers authored by Alfred Berchielli
This map shows the geographic impact of Alfred Berchielli'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 Alfred Berchielli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfred Berchielli more than expected).
Fields of papers citing papers by Alfred Berchielli
This network shows the impact of papers produced by Alfred Berchielli. 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 Alfred Berchielli. The network helps show where Alfred Berchielli may publish in the future.
Co-authors
The 10 scholars most cited alongside Alfred Berchielli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 153 | |
| 2 | 2010 | 98 | |
| 3 | 2005 | 37 | |
| 4 | 2014 | 10 | |
| 5 | 2005 | 10 | |
| 6 | 2024 | 5 | |
| 7 | 2022 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 1 |
About Alfred Berchielli
Alfred Berchielli is a scholar working on Pharmaceutical Science, Biomedical Engineering, Computational Mechanics, Spectroscopy and Mechanical Engineering, having authored 10 papers that have together received 323 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (5 papers), Fluid Dynamics and Heat Transfer (2 papers), Phase Equilibria and Thermodynamics (2 papers), Injection Molding Process and Properties (2 papers), Nanofabrication and Lithography Techniques (2 papers), Adsorption, diffusion, and thermodynamic properties of materials (2 papers), Nanomaterials and Printing Technologies (1 paper) and Safe Handling of Antineoplastic Drugs (1 paper). The work is most often cited by research in Computational Mechanics (225 citations), Surfaces, Coatings and Films (59 citations), Ocean Engineering (60 citations), Pharmaceutical Science (18 citations) and Plant Science (68 citations). Alfred Berchielli has collaborated with scholars based in United States and India. Frequent co-authors include Alberto Aliseda, Juan C. Lasheras, E. J. Hopfinger, Mary T. am Ende, Avinash G. Thombre, Mahesh S. Tirumkudulu, Pankaj Doshi, Weili Yu, Daniel O. Blackwood and Peiyuan Liu. Their work appears in journals such as AAPS PharmSciTech, Pharmaceutical Development and Technology, International Journal of Multiphase Flow, Drug Discovery Today and Journal of Drug Delivery Science and Technology.
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.