Giulia Cencetti
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Complex Network Analysis Techniques 10
- Opinion Dynamics and Social Influence 8
-
- Data Visualization and Analytics 4
- Co-authors
- Federico Battiston (4 shared papers)Duccio Fanelli (4 shared papers)Timotéo Carletti (2 shared papers)Bruno Lepri (7 shared papers)Alain Barrat (5 shared papers)Sune Lehmann (2 shared papers)Gabriele Santin (4 shared papers)Andrea Passerini (3 shared papers)
- Journals
- Physical review. E (3 papers)Communications Physics (2 papers)Physical Review Letters (2 papers)Physical Review X (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Giulia Cencetti
16 papers receiving 321 citations
Peers
Comparison fields: 5 of 63
- Statistical and Nonlinear Physics 184
- Modeling and Simulation 52
- Computer Networks and Communications 59
- Transportation 16
- Experimental and Cognitive Psychology 31
Countries citing papers authored by Giulia Cencetti
This map shows the geographic impact of Giulia Cencetti'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 Giulia Cencetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Cencetti more than expected).
Fields of papers citing papers by Giulia Cencetti
This network shows the impact of papers produced by Giulia Cencetti. 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 Giulia Cencetti. The network helps show where Giulia Cencetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Cencetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 130 | |
| 2 | 2021 | 66 | |
| 3 | 2015 | 26 | |
| 4 | 2023 | 22 | |
| 5 | 2021 | 18 | |
| 6 | 2024 | 11 | |
| 7 | 2020 | 9 | |
| 8 | 2024 | 7 | |
| 9 | 2018 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2017 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 |
About Giulia Cencetti
Giulia Cencetti is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Computer Networks and Communications, Sociology and Political Science and Information Systems, having authored 17 papers that have together received 323 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (8 papers), Data Visualization and Analytics (4 papers), Nonlinear Dynamics and Pattern Formation (3 papers), COVID-19 Digital Contact Tracing (2 papers), COVID-19 epidemiological studies (2 papers), Ecosystem dynamics and resilience (2 papers) and Data Management and Algorithms (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (184 citations), Modeling and Simulation (52 citations), Computer Networks and Communications (59 citations), Transportation (16 citations) and Experimental and Cognitive Psychology (31 citations). Giulia Cencetti has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Federico Battiston, Duccio Fanelli, Timotéo Carletti, Bruno Lepri, Alain Barrat, Sune Lehmann, Gabriele Santin, Andrea Passerini, Ciro Cattuto and Marcel Salathé. Their work appears in journals such as Physical review. E, Communications Physics, Physical Review Letters, Physical Review X and PLoS Computational Biology.
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.