Fiorella Cravero
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Biomaterials
- Molecular Biology
- Geophysics
- Co-authors
- Ignacio PonzoniMónica F. DíazMaría Jimena MartínezSilvina Andrea MarfilPedro MaizaCarlos RocaJuan A. PáezNuria E. Campillo
- Topics
- Computational Drug Discovery Methods (11 papers)Machine Learning in Materials Science (9 papers)Clay minerals and soil interactions (7 papers)
- Journals
- The Journal of Chemical PhysicsSHILAP Revista de lepidopterologíaScientific Reports
In The Last Decade
Fiorella Cravero
22 papers receiving 308 citations
Peers
Comparison fields: 5 of 93
- Computational Theory and Mathematics 132
- Materials Chemistry 95
- Biomaterials 72
- Molecular Biology 70
- Geophysics 33
Countries citing papers authored by Fiorella Cravero
This map shows the geographic impact of Fiorella Cravero'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 Fiorella Cravero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiorella Cravero more than expected).
Fields of papers citing papers by Fiorella Cravero
This network shows the impact of papers produced by Fiorella Cravero. 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 Fiorella Cravero. The network helps show where Fiorella Cravero may publish in the future.
Co-authorship network of co-authors of Fiorella Cravero
This figure shows the co-authorship network connecting the top 25 collaborators of Fiorella Cravero. A scholar is included among the top collaborators of Fiorella Cravero 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 Fiorella Cravero. Fiorella Cravero 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 | 4 | |
| 4 | 2 | |
| 5 | 20 | |
| 6 | 21 | |
| 7 | 8 | |
| 8 | 54 | |
| 9 | 10 | |
| 10 | 11 | |
| 11 | 51 | |
| 12 | 8 | |
| 13 | 14 | |
| 14 | 14 | |
| 15 | 7 | |
| 16 | 11 | |
| 17 | 11 | |
| 18 | 17 | |
| 19 | 12 | |
| 20 | El caolín de Misud (Argentina). Geología, mineralogía y aplicaciones | 1 |
About Fiorella Cravero
Fiorella Cravero is a scholar working on Complementary and Manual Therapy, Computational Theory and Mathematics and Biomaterials, having authored 23 papers that have together received 323 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Machine Learning in Materials Science (9 papers) and Clay minerals and soil interactions (7 papers). The work is most often cited by research in Complementary and Manual Therapy (22 citations), Computational Theory and Mathematics (132 citations) and Biomaterials (72 citations). Fiorella Cravero has collaborated with scholars based in Argentina, Spain and Uruguay. Frequent co-authors include Ignacio Ponzoni, Mónica F. Díaz, María Jimena Martínez, Silvina Andrea Marfil, Pedro Maiza, Carlos Roca, Juan A. Páez, Nuria E. Campillo, Víctor Sebastián-Pérez and Gustavo E. Vázquez. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Scientific Reports.
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.