Daniela di Serafino
- Numerical Analysis top 2%
- Computational Theory and Mathematics top 2%
- Computational Mechanics top 5%
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Gerardo ToraldoValentina De SimonePasqua D’AmbraF. RiccioSalvatore FilipponeValeria RuggieroLuca ZanniBenedetta Morini
- Topics
- Advanced Optimization Algorithms Research (18 papers)Matrix Theory and Algorithms (18 papers)Sparse and Compressive Sensing Techniques (17 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaAnnals of the New York Academy of Sciences
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Daniela di Serafino
50 papers receiving 665 citations
Peers
Comparison fields: 5 of 74
- Numerical Analysis 325
- Computational Theory and Mathematics 293
- Computational Mechanics 274
- Atomic and Molecular Physics, and Optics 100
- Computer Vision and Pattern Recognition 62
Countries citing papers authored by Daniela di Serafino
This map shows the geographic impact of Daniela di Serafino'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 Daniela di Serafino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela di Serafino more than expected).
Fields of papers citing papers by Daniela di Serafino
This network shows the impact of papers produced by Daniela di Serafino. 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 Daniela di Serafino. The network helps show where Daniela di Serafino may publish in the future.
Co-authorship network of co-authors of Daniela di Serafino
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela di Serafino. A scholar is included among the top collaborators of Daniela di Serafino 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 Daniela di Serafino. Daniela di Serafino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 17 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 13 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 21 | |
| 15 | 2 | |
| 16 | 70 | |
| 17 | 21 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 1 |
About Daniela di Serafino
Daniela di Serafino is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 50 papers that have together received 702 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (18 papers), Matrix Theory and Algorithms (18 papers) and Sparse and Compressive Sensing Techniques (17 papers). The work is most often cited by research in Numerical Analysis (325 citations), Computational Theory and Mathematics (293 citations) and Computational Mechanics (274 citations). Daniela di Serafino has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Gerardo Toraldo, Valentina De Simone, Pasqua D’Ambra, F. Riccio, Salvatore Filippone, Valeria Ruggiero, Luca Zanni, Benedetta Morini, Stefania Bellavia and Sonia Cafieri. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Annals of the New York Academy of Sciences.
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.