Vito Latora

240 papers and 28.1k indexed citations i.

About

Vito Latora is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Economics and Econometrics. According to data from OpenAlex, Vito Latora has authored 240 papers receiving a total of 28.1k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Statistical and Nonlinear Physics, 40 papers in Computer Networks and Communications and 40 papers in Economics and Econometrics. Recurrent topics in Vito Latora’s work include Complex Network Analysis Techniques (109 papers), Opinion Dynamics and Social Influence (82 papers) and Complex Systems and Time Series Analysis (33 papers). Vito Latora is often cited by papers focused on Complex Network Analysis Techniques (109 papers), Opinion Dynamics and Social Influence (82 papers) and Complex Systems and Time Series Analysis (33 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

Co-authorship network of co-authors of Vito Latora i

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.

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).

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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2025