Laëtitia Gauvin
- Transportation top 2%
- Modeling and Simulation top 1%
- Statistical and Nonlinear Physics top 5%
- Economics and Econometrics top 10%
- Sociology and Political Science top 10%
- Co-authors
- Ciro CattutoMichele TizzoniAndré PanissonEmanuele PepePaolo BajardiBrennan LakeFilippo PriviteraJ. Vannimenus
- Topics
- Human Mobility and Location-Based Analysis (11 papers)COVID-19 epidemiological studies (8 papers)Complex Network Analysis Techniques (5 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Laëtitia Gauvin
30 papers receiving 951 citations
Peers
Comparison fields: 5 of 138
- Transportation 302
- Modeling and Simulation 274
- Statistical and Nonlinear Physics 236
- Economics and Econometrics 121
- Sociology and Political Science 117
Countries citing papers authored by Laëtitia Gauvin
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).
Fields of papers citing papers by Laëtitia Gauvin
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.
Co-authorship network of co-authors of Laëtitia Gauvin
This figure shows the co-authorship network connecting the top 25 collaborators of Laëtitia Gauvin. A scholar is included among the top collaborators of Laëtitia Gauvin 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 Laëtitia Gauvin. Laëtitia Gauvin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 32 | |
| 7 | 26 | |
| 8 | 6 | |
| 9 | 19 | |
| 10 | 12 | |
| 11 | 115 | |
| 12 | 21 | |
| 13 | 230 | |
| 14 | Predicting City Poverty Using Satellite Imagery | 21 |
| 15 | 9 | |
| 16 | 19 | |
| 17 | 139 | |
| 18 | 34 | |
| 19 | 無防備都市におけるSchelling凝離:動力学的に拘束を受けたBlume-Emery-Griffithsのスピン1系 | 70 |
| 20 | 28 |
About Laëtitia Gauvin
Laëtitia Gauvin is a scholar working on Computational Mathematics, Transportation and Modeling and Simulation, having authored 31 papers that have together received 979 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (11 papers), COVID-19 epidemiological studies (8 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Computational Mathematics (37 citations), Modeling and Simulation (274 citations) and Transportation (302 citations). Laëtitia Gauvin has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Ciro Cattuto, Michele Tizzoni, André Panisson, Emanuele Pepe, Paolo Bajardi, Brennan Lake, Filippo Privitera, J. Vannimenus, Márton Karsai and Andrew Young. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.