Antonia Vecchio
- Modeling and Simulation top 0.5%
- Numerical Analysis top 2%
- Public Health, Environmental and Occupational Health top 5%
- Applied Mathematics top 2%
- Genetics
- Co-authors
- E. RussoEleonora MessinaGiuseppe IzzoYoshiaki MuroyaV.B. KolmanovskiiYukihiko NakataWoula ThemistoclakisYoichi Enatsu
- Topics
- Fractional Differential Equations Solutions (30 papers)Numerical methods for differential equations (28 papers)Differential Equations and Numerical Methods (21 papers)
- Journals
- The Journal of ImmunologyMathematics of ComputationJournal of Mathematical Analysis and Applications
- Partner nations
- ItalyJapanUnited States
In The Last Decade
Antonia Vecchio
71 papers receiving 733 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 397
- Numerical Analysis 318
- Public Health, Environmental and Occupational Health 290
- Applied Mathematics 275
- Genetics 127
Countries citing papers authored by Antonia Vecchio
This map shows the geographic impact of Antonia Vecchio'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 Antonia Vecchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonia Vecchio more than expected).
Fields of papers citing papers by Antonia Vecchio
This network shows the impact of papers produced by Antonia Vecchio. 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 Antonia Vecchio. The network helps show where Antonia Vecchio may publish in the future.
Co-authorship network of co-authors of Antonia Vecchio
This figure shows the co-authorship network connecting the top 25 collaborators of Antonia Vecchio. A scholar is included among the top collaborators of Antonia Vecchio 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 Antonia Vecchio. Antonia Vecchio 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 | 2 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 20 | |
| 10 | 15 | |
| 11 | 8 | |
| 12 | 37 | |
| 13 | 6 | |
| 14 | 33 | |
| 15 | 8 | |
| 16 | 34 | |
| 17 | 4 | |
| 18 | 29 | |
| 19 | 16 | |
| 20 | 9 |
About Antonia Vecchio
Antonia Vecchio is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics, having authored 77 papers that have together received 793 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (30 papers), Numerical methods for differential equations (28 papers) and Differential Equations and Numerical Methods (21 papers). The work is most often cited by research in Modeling and Simulation (397 citations), Numerical Analysis (318 citations) and Applied Mathematics (275 citations). Antonia Vecchio has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include E. Russo, Eleonora Messina, Giuseppe Izzo, Yoshiaki Muroya, V.B. Kolmanovskii, Yukihiko Nakata, Woula Themistoclakis, Yoichi Enatsu, Angela Santoni and John Guardiola. Their work appears in journals such as The Journal of Immunology, Mathematics of Computation and Journal of Mathematical Analysis and Applications.
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.