Vittorio Loreto
Impact in
- Statistical and Nonlinear Physics top 0.05%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 0.5%
Papers in
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- Opinion Dynamics and Social Influence 39
- Complex Network Analysis Techniques 34
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- Theoretical and Computational Physics 31
- Co-authors
- Claudio Castellano (9 shared papers)Santo Fortunato (1 shared paper)Federico Cecconi (3 shared papers)Filippo Radicchi (2 shared papers)Domenico Parisi (2 shared papers)Andrea Baronchelli (24 shared papers)Alain Barrat (24 shared papers)Emanuele Caglioti (19 shared papers)
In The Last Decade
Vittorio Loreto
160 papers receiving 9.1k citations
Vittorio Loreto's Hit Papers
Peers
Comparison fields: 5 of 191
- Statistical and Nonlinear Physics 4.9k
- Modeling and Simulation 533
- Cultural Studies 687
- Condensed Matter Physics 627
- Communication 325
Countries citing papers authored by Vittorio Loreto
This map shows the geographic impact of Vittorio Loreto'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 Vittorio Loreto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vittorio Loreto more than expected).
Fields of papers citing papers by Vittorio Loreto
This network shows the impact of papers produced by Vittorio Loreto. 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 Vittorio Loreto. The network helps show where Vittorio Loreto may publish in the future.
Co-authors
The 25 scholars most cited alongside Vittorio Loreto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Statistical physics of social dynamics Hit paper breakdown → | 2009 | 2575 |
| 2 | Defining and identifying communities in networks Hit paper breakdown → | 2004 | 1588 |
| 3 | Ranking the effectiveness of worldwide COVID-19 government interventions Hit paper breakdown → | 2020 | 920 |
| 4 | 2012 | 234 | |
| 5 | 2007 | 231 | |
| 6 | 2002 | 222 | |
| 7 | 2006 | 218 | |
| 8 | 2003 | 157 | |
| 9 | 1998 | 144 | |
| 10 | 2000 | 138 | |
| 11 | 2006 | 125 | |
| 12 | 2008 | 122 | |
| 13 | 2014 | 120 | |
| 14 | 1997 | 120 | |
| 15 | 1999 | 100 | |
| 16 | 2010 | 94 | |
| 17 | 2005 | 90 | |
| 18 | 2006 | 83 | |
| 19 | 2009 | 76 | |
| 20 | 2007 | 75 |
About Vittorio Loreto
Vittorio Loreto is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics, Materials Chemistry, Cultural Studies and Computational Mechanics, having authored 165 papers that have together received 9.5k indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (39 papers), Complex Network Analysis Techniques (34 papers), Theoretical and Computational Physics (31 papers), Material Dynamics and Properties (30 papers), Language and cultural evolution (29 papers), Granular flow and fluidized beds (26 papers), Evolutionary Game Theory and Cooperation (20 papers) and Complex Systems and Time Series Analysis (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (4.9k citations), Modeling and Simulation (533 citations), Cultural Studies (687 citations), Condensed Matter Physics (627 citations) and Communication (325 citations). Vittorio Loreto has collaborated with scholars based in Italy, France and Austria. Frequent co-authors include Claudio Castellano, Santo Fortunato, Federico Cecconi, Filippo Radicchi, Domenico Parisi, Andrea Baronchelli, Alain Barrat, Emanuele Caglioti, Andrea Puglisi and Francesca Tria. Their work appears in journals such as Physical Review Letters, PLoS ONE, Europhysics Letters (EPL), Proceedings of the National Academy of Sciences and Scientific Reports.
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.