Marialisa Scatà
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Electrical and Electronic Engineering
- Modeling and Simulation top 10%
- Co-authors
- Aurelio La CorteAlessandro Di StefanoPíetro LióClaudio AngioneSupreeta VijayakumarSajal K. DasFabio GraziosiDajana Cassioli
- Topics
- Complex Network Analysis Techniques (12 papers)Opinion Dynamics and Social Influence (6 papers)Advanced MIMO Systems Optimization (5 papers)
- Cited by
- Statistical and Nonlinear PhysicsModeling and SimulationComputer Networks and Communications
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Marialisa Scatà
25 papers receiving 265 citations
Peers
Comparison fields: 5 of 71
- Statistical and Nonlinear Physics 97
- Computer Networks and Communications 83
- Sociology and Political Science 58
- Electrical and Electronic Engineering 42
- Modeling and Simulation 32
Countries citing papers authored by Marialisa Scatà
This map shows the geographic impact of Marialisa Scatà'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 Marialisa Scatà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marialisa Scatà more than expected).
Fields of papers citing papers by Marialisa Scatà
This network shows the impact of papers produced by Marialisa Scatà. 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 Marialisa Scatà. The network helps show where Marialisa Scatà may publish in the future.
Co-authorship network of co-authors of Marialisa Scatà
This figure shows the co-authorship network connecting the top 25 collaborators of Marialisa Scatà. A scholar is included among the top collaborators of Marialisa Scatà 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 Marialisa Scatà. Marialisa Scatà 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 | 3 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 41 | |
| 11 | 22 | |
| 12 | 50 | |
| 13 | 4 | |
| 14 | 29 | |
| 15 | 6 | |
| 16 | 7 | |
| 17 | 11 | |
| 18 | Failure Analysis and Threats Statistic to Assess Risk and Security Strategy in a Communication System | 1 |
| 19 | 2 | |
| 20 | 3 |
About Marialisa Scatà
Marialisa Scatà is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Transportation, having authored 26 papers that have together received 274 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (6 papers) and Advanced MIMO Systems Optimization (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (97 citations), Modeling and Simulation (32 citations) and Computer Networks and Communications (83 citations). Marialisa Scatà has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Aurelio La Corte, Alessandro Di Stefano, Píetro Lió, Claudio Angione, Supreeta Vijayakumar, Sajal K. Das, Fabio Graziosi, Dajana Cassioli, Salvatore Greco and Andrea Marotta. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.
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.