Laëtitia Gauvin

30 papers and 1.0k indexed citations i.

About

Laëtitia Gauvin is a scholar working on Transportation, Statistical and Nonlinear Physics and Modeling and Simulation. According to data from OpenAlex, Laëtitia Gauvin has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Transportation, 7 papers in Statistical and Nonlinear Physics and 7 papers in Modeling and Simulation. Recurrent topics in Laëtitia Gauvin’s work include Human Mobility and Location-Based Analysis (10 papers), COVID-19 epidemiological studies (7 papers) and Opinion Dynamics and Social Influence (6 papers). Laëtitia Gauvin is often cited by papers focused on Human Mobility and Location-Based Analysis (10 papers), COVID-19 epidemiological studies (7 papers) and Opinion Dynamics and Social Influence (6 papers). Laëtitia Gauvin collaborates with scholars based in Italy, France and United States. Laëtitia Gauvin's co-authors include Ciro Cattuto, Michele Tizzoni, André Panisson, J. Vannimenus, Paolo Bajardi, Emanuele Pepe, Filippo Privitera, Brennan Lake, Jean‐Pierre Nadal and Márton Karsai and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Laëtitia Gauvin i

Fields of papers citing papers by Laëtitia Gauvin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laëtitia Gauvin

Since Specialization
Citations

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