Francesco Tudisco
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Molecular Biology
- Co-authors
- Desmond J. HighamMatthias HeinPedro MercadoDario FasinoQuynh L. NguyenMichela Redivo‐ZagliaMichael T. SchaubMario Putti
- Topics
- Complex Network Analysis Techniques (19 papers)Opinion Dynamics and Social Influence (12 papers)Graph theory and applications (9 papers)
- Cited by
- Computational MathematicsStatistical and Nonlinear PhysicsComputational Theory and Mathematics
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Francesco Tudisco
39 papers receiving 300 citations
Peers
Comparison fields: 5 of 57
- Statistical and Nonlinear Physics 186
- Artificial Intelligence 73
- Computational Theory and Mathematics 69
- Computer Networks and Communications 37
- Molecular Biology 36
Countries citing papers authored by Francesco Tudisco
This map shows the geographic impact of Francesco Tudisco'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 Francesco Tudisco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Tudisco more than expected).
Fields of papers citing papers by Francesco Tudisco
This network shows the impact of papers produced by Francesco Tudisco. 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 Francesco Tudisco. The network helps show where Francesco Tudisco may publish in the future.
Co-authorship network of co-authors of Francesco Tudisco
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Tudisco. A scholar is included among the top collaborators of Francesco Tudisco 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 Francesco Tudisco. Francesco Tudisco 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 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 52 | |
| 12 | 13 | |
| 13 | 15 | |
| 14 | 7 | |
| 15 | The Power Mean Laplacian for Multilayer Graph Clustering | 1 |
| 16 | 15 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 3 |
About Francesco Tudisco
Francesco Tudisco is a scholar working on Computational Mathematics, Statistical and Nonlinear Physics and Geometry and Topology, having authored 43 papers that have together received 316 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (12 papers) and Graph theory and applications (9 papers). The work is most often cited by research in Computational Mathematics (34 citations), Statistical and Nonlinear Physics (186 citations) and Computational Theory and Mathematics (69 citations). Francesco Tudisco has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Desmond J. Higham, Matthias Hein, Pedro Mercado, Dario Fasino, Quynh L. Nguyen, Michela Redivo‐Zaglia, Michael T. Schaub, Mario Putti, Francesco Rinaldi and Sara Venturini. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.