Nicola Perra
- Statistical and Nonlinear Physics top 0.2%
- Modeling and Simulation top 0.2%
- Sociology and Political Science top 2%
- Epidemiology top 5%
- Transportation top 1%
- Co-authors
- Alessandro VespignaniBruno GonçalvesAndrea BaronchelliRomualdo Pastor‐SatorrasMárton KarsaiNicolò GozziDuygu BalcanMichele Tizzoni
- Topics
- Complex Network Analysis Techniques (33 papers)COVID-19 epidemiological studies (31 papers)Opinion Dynamics and Social Influence (25 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Nicola Perra
68 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Statistical and Nonlinear Physics 1.9k
- Modeling and Simulation 1.1k
- Sociology and Political Science 830
- Epidemiology 477
- Transportation 363
Countries citing papers authored by Nicola Perra
This map shows the geographic impact of Nicola Perra'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 Nicola Perra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Perra more than expected).
Fields of papers citing papers by Nicola Perra
This network shows the impact of papers produced by Nicola Perra. 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 Nicola Perra. The network helps show where Nicola Perra may publish in the future.
Co-authorship network of co-authors of Nicola Perra
This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Perra. A scholar is included among the top collaborators of Nicola Perra 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 Nicola Perra. Nicola Perra 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 | 0 | |
| 4 | 1 | |
| 5 | 51 | |
| 6 | 1 | |
| 7 | 74 | |
| 8 | 103 | |
| 9 | 24 | |
| 10 | 62 | |
| 11 | 4 | |
| 12 | 32 | |
| 13 | 124 | |
| 14 | Characterizing production and consumption in Physics | 1 |
| 15 | 183 | |
| 16 | Time scales and dynamical processes in activity driven networks | 2 |
| 17 | Walking and searching in time-varying networks | 1 |
| 18 | 128 | |
| 19 | 172 | |
| 20 | 18 |
About Nicola Perra
Nicola Perra is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Transportation, having authored 71 papers that have together received 3.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (33 papers), COVID-19 epidemiological studies (31 papers) and Opinion Dynamics and Social Influence (25 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Statistical and Nonlinear Physics (1.9k citations) and Transportation (363 citations). Nicola Perra has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Alessandro Vespignani, Bruno Gonçalves, Andrea Baronchelli, Romualdo Pastor‐Satorras, Márton Karsai, Nicolò Gozzi, Duygu Balcan, Michele Tizzoni, Delia Mocanu and Yamir Moreno. Their work appears in journals such as Nature, Cell and Proceedings of the National 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.