Vito Latora

41.8k total citations · 14 hit papers
219 papers, 28.3k citations indexed

About

Vito Latora is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Vito Latora has authored 219 papers receiving a total of 28.3k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Statistical and Nonlinear Physics, 38 papers in Computer Networks and Communications and 33 papers in Molecular Biology. Recurrent topics in Vito Latora's work include Complex Network Analysis Techniques (96 papers), Opinion Dynamics and Social Influence (73 papers) and Complex Systems and Time Series Analysis (25 papers). Vito Latora is often cited by papers focused on Complex Network Analysis Techniques (96 papers), Opinion Dynamics and Social Influence (73 papers) and Complex Systems and Time Series Analysis (25 papers). Vito Latora collaborates with scholars based in Italy, United Kingdom and United States. Vito Latora's co-authors include Massimo Marchiori, Yamir Moreno, Mario Chávez, Stefano Boccaletti, Dong‐Uk Hwang, Paolo Crucitti, Vincenzo Nicosia, Sergio Porta, Andrea Rapisarda and Federico Battiston and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Vito Latora

213 papers receiving 27.3k citations

Hit Papers

Complex networks: Structu... 2001 2026 2009 2017 2006 2001 2004 2003 2006 2.5k 5.0k 7.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vito Latora 13.9k 5.7k 4.7k 2.7k 2.6k 219 28.3k
Marc Barthélemy 10.9k 0.8× 2.3k 0.4× 1.2k 0.3× 2.1k 0.8× 2.2k 0.8× 138 21.4k
Renaud Lambiotte 8.3k 0.6× 2.1k 0.4× 2.4k 0.5× 2.4k 0.9× 2.9k 1.1× 150 19.6k
Shlomo Havlin 27.3k 2.0× 7.5k 1.3× 2.8k 0.6× 3.4k 1.2× 9.6k 3.7× 704 57.1k
Yamir Moreno 15.0k 1.1× 7.3k 1.3× 2.8k 0.6× 6.1k 2.2× 2.4k 0.9× 247 26.9k
Tamás Vicsek 9.0k 0.6× 7.5k 1.3× 966 0.2× 2.0k 0.7× 5.0k 1.9× 223 34.8k
Vincent D. Blondel 6.3k 0.5× 3.4k 0.6× 1.2k 0.2× 2.3k 0.8× 2.6k 1.0× 150 21.9k
Àlex Arenas 14.1k 1.0× 6.7k 1.2× 2.5k 0.5× 2.2k 0.8× 2.9k 1.1× 219 22.1k
Duncan J. Watts 28.9k 2.1× 9.4k 1.7× 5.5k 1.2× 13.4k 4.9× 5.0k 1.9× 117 58.4k
Réka Albert 29.5k 2.1× 10.9k 1.9× 2.5k 0.5× 5.3k 1.9× 12.0k 4.7× 163 55.0k
Steven H. Strogatz 30.5k 2.2× 23.0k 4.1× 11.2k 2.4× 5.1k 1.9× 7.9k 3.1× 170 66.6k

Countries citing papers authored by Vito Latora

Since Specialization
Citations

This map shows the geographic impact of Vito Latora'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 Vito Latora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vito Latora more than expected).

Fields of papers citing papers by Vito Latora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vito Latora. 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 Vito Latora. The network helps show where Vito Latora may publish in the future.

Co-authorship network of co-authors of Vito Latora

This figure shows the co-authorship network connecting the top 25 collaborators of Vito Latora. A scholar is included among the top collaborators of Vito Latora 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 Vito Latora. Vito Latora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Battiston, Federico, et al.. (2024). Explosive Cooperation in Social Dilemmas on Higher-Order Networks. Physical Review Letters. 132(16). 167401–167401. 43 indexed citations breakdown →
2.
Latora, Vito, et al.. (2024). Minimisation of metabolic networks defines a new functional class of genes. Nature Communications. 15(1). 9076–9076.
3.
Musciotto, Federico, Michael Greenacre, Álex Mira, et al.. (2023). Agta hunter–gatherer oral microbiomes are shaped by contact network structure. Evolutionary Human Sciences. 5. e9–e9. 4 indexed citations
4.
Soriano‐Paños, David, et al.. (2023). Collapse transition in epidemic spreading subject to detection with limited resources. Physical review. E. 108(2). 24305–24305. 5 indexed citations
5.
Perra, Nicola, et al.. (2023). The concept of decentralization through time and disciplines: a quantitative exploration. EPJ Data Science. 12(1). 1 indexed citations
6.
Latora, Vito, et al.. (2022). Hyper-diffusion on multiplex networks. Journal of Physics Complexity. 3(3). 35009–35009. 6 indexed citations
7.
St-Onge, Guillaume, Iacopo Iacopini, Vito Latora, et al.. (2022). Influential groups for seeding and sustaining nonlinear contagion in heterogeneous hypergraphs. Communications Physics. 5(1). 65 indexed citations
8.
Battiston, Federico, Enrico Amico, Alain Barrat, et al.. (2021). The physics of higher-order interactions in complex systems. Nature Physics. 17(10). 1093–1098. 520 indexed citations breakdown →
9.
Gambuzza, Lucia Valentina, et al.. (2019). Control Technique for Synchronization of Selected Nodes in Directed Networks. IEEE Control Systems Letters. 3(3). 553–558. 3 indexed citations
10.
Iacopini, Iacopo, et al.. (2019). CREATIVE CONNECTIVITY PROJECT – A NETWORK BASED APPROACH TO UNDERSTAND CORRELATIONS BETWEEN INTERDISCIPLINARY GROUP DYNAMICS AND CREATIVE PERFORMANCE. Archive of research processes and output produced by RCA (Royal College of Art). 3 indexed citations
11.
Gambuzza, Lucia Valentina, Mattia Frasca, & Vito Latora. (2018). Distributed Control of Synchronization of a Group of Network Nodes. IEEE Transactions on Automatic Control. 64(1). 365–372. 38 indexed citations
12.
Migliano, Andrea Bamberg, Abigail E. Page, Jesús Gómez‐Gardeñes, et al.. (2017). Characterization of hunter-gatherer networks and implications for cumulative culture. Nature Human Behaviour. 1(2). 90 indexed citations
13.
Battiston, Federico, Vincenzo Nicosia, & Vito Latora. (2013). Metrics for the analysis of multiplex networks.. arXiv (Cornell University). 18 indexed citations
14.
Scellato, Salvatore, Cecilia Mascolo, Mirco Musolesi, & Vito Latora. (2010). Distance matters: geo-social metrics for online social networks. 33(8). 8–8. 135 indexed citations
15.
Boccaletti, Stefano, Vito Latora, Yamir Moreno, Mario Chávez, & Dong‐Uk Hwang. (2006). Complex networks: Structure and dynamics. Physics Reports. 424(4-5). 175–308. 7588 indexed citations breakdown →
16.
Crucitti, Paolo, Vito Latora, Massimo Marchiori, & Andrea Rapisarda. (2004). Error and Attack Tolerance of Complex Networks. RePEc: Research Papers in Economics.
17.
Pluchino, Alessandro, Vito Latora, & Andrea Rapisarda. (2003). Spin-Glass phase in the Hamiltonian Mean Field model. arXiv (Cornell University). 1 indexed citations
18.
Latora, Vito & Massimo Marchiori. (2002). Is the Boston Subway a Small-World Network?. 351 indexed citations
19.
Latora, Vito, et al.. (2000). The rate of entropy increase at the edge of chaos. 70 indexed citations
20.
Latora, Vito, Andrea Rapisarda, Constantino Tsallis, & Michel Baranger. (1999). Generalization to nonextensive systems of the rate of entropy increase: The case of the logistic map. arXiv (Cornell University). 1 indexed citations

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.

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