Paola Carbone
- Materials Chemistry top 1%
- Biomedical Engineering top 0.5%
- Water Science and Technology top 0.2%
- Electrical and Electronic Engineering top 5%
- Organic Chemistry top 2%
- Co-authors
- Rahul R. NairA. K. GeǐmI. V. GrigorievaYang SuVasyl G. KravetsHengAn WuRakesh JoshiFengchao Wang
- Topics
- Graphene research and applications (21 papers)Block Copolymer Self-Assembly (21 papers)Material Dynamics and Properties (19 papers)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Paola Carbone
100 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Materials Chemistry 3.9k
- Biomedical Engineering 3.2k
- Water Science and Technology 2.3k
- Electrical and Electronic Engineering 1.2k
- Organic Chemistry 732
Countries citing papers authored by Paola Carbone
This map shows the geographic impact of Paola Carbone'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 Paola Carbone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Carbone more than expected).
Fields of papers citing papers by Paola Carbone
This network shows the impact of papers produced by Paola Carbone. 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 Paola Carbone. The network helps show where Paola Carbone may publish in the future.
Co-authorship network of co-authors of Paola Carbone
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Carbone. A scholar is included among the top collaborators of Paola Carbone 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 Paola Carbone. Paola Carbone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 22 | |
| 6 | 12 | |
| 7 | 40 | |
| 8 | 10 | |
| 9 | 20 | |
| 10 | 20 | |
| 11 | 11 | |
| 12 | 16 | |
| 13 | 20 | |
| 14 | 26 | |
| 15 | 24 | |
| 16 | Population Balance Modelling and CFD analysis in a Multi-scale Approach for Flash Nano-precipitation | 1 |
| 17 | 44 | |
| 18 | 27 | |
| 19 | Tunable sieving of ions using graphene oxide membranesbreakdown → | 1524 |
| 20 | Coarse-Graining Poly(ethylene oxide)–Poly(propylene oxide)–Poly(ethylene oxide) (PEO–PPO–PEO) Block Copolymers Using the MARTINI Force Field B | 1 |
About Paola Carbone
Paola Carbone is a scholar working on Fluid Flow and Transfer Processes, Physical and Theoretical Chemistry and Polymers and Plastics, having authored 103 papers that have together received 6.5k indexed citations. Recurring topics across this work include Graphene research and applications (21 papers), Block Copolymer Self-Assembly (21 papers) and Material Dynamics and Properties (19 papers). The work is most often cited by research in Water Science and Technology (2.3k citations), Materials Chemistry (3.9k citations) and Biomedical Engineering (3.2k citations). Paola Carbone has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Rahul R. Nair, A. K. Geǐm, I. V. Grigorieva, Yang Su, Vasyl G. Kravets, HengAn Wu, Rakesh Joshi, Fengchao Wang, Florian Müller‐Plathe and Christopher D. Williams. Their work appears in journals such as Science, Journal of the American Chemical Society and Nature Communications.
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.