Francesca Pratesi
Impact in
- Transportation top 5%
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
Papers in
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- Human Mobility and Location-Based Analysis 8
-
- Privacy, Security, and Data Protection 5
- Co-authors
- Anna Monreale (6 shared papers)Fosca Giannotti (8 shared papers)Dino Pedreschi (6 shared papers)Luca Pappalardo (3 shared papers)Salvatore Rinzivillo (2 shared papers)Riccardo Rialti (1 shared paper)Gennady Andrienko (3 shared papers)Natalia Andrienko (3 shared papers)
- Journals
- EPJ Data Science (1 paper)ACM Computing Surveys (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)Data & Knowledge Engineering (1 paper)Social Network Analysis and Mining (1 paper)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Francesca Pratesi
14 papers receiving 208 citations
Peers
Comparison fields: 5 of 64
- Transportation 101
- Health Informatics 5
- Information Systems and Management 16
- Marketing 17
- Sociology and Political Science 78
Countries citing papers authored by Francesca Pratesi
This map shows the geographic impact of Francesca Pratesi'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 Francesca Pratesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Pratesi more than expected).
Fields of papers citing papers by Francesca Pratesi
This network shows the impact of papers produced by Francesca Pratesi. 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 Francesca Pratesi. The network helps show where Francesca Pratesi may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Pratesi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 56 | |
| 2 | 2014 | 48 | |
| 3 | 2017 | 33 | |
| 4 | 2021 | 24 | |
| 5 | 2020 | 19 | |
| 6 | 2018 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2022 | 3 | |
| 10 | Privacy-Aware Distributed Mobility Data Analytics. | 2013 | 3 |
| 11 | 2020 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2015 | 1 |
About Francesca Pratesi
Francesca Pratesi is a scholar working on Transportation, Sociology and Political Science, Artificial Intelligence, Management Science and Operations Research and Building and Construction, having authored 14 papers that have together received 213 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (8 papers), Privacy-Preserving Technologies in Data (7 papers), Privacy, Security, and Data Protection (5 papers), Traffic Prediction and Management Techniques (2 papers), Data Quality and Management (2 papers), Complex Network Analysis Techniques (1 paper), Social Media and Politics (1 paper) and Vehicular Ad Hoc Networks (VANETs) (1 paper). The work is most often cited by research in Transportation (101 citations), Health Informatics (5 citations), Information Systems and Management (16 citations), Marketing (17 citations) and Sociology and Political Science (78 citations). Francesca Pratesi has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Anna Monreale, Fosca Giannotti, Dino Pedreschi, Luca Pappalardo, Salvatore Rinzivillo, Riccardo Rialti, Gennady Andrienko, Natalia Andrienko, Chiara Boldrini and Riccardo Guidotti. Their work appears in journals such as EPJ Data Science, ACM Computing Surveys, ACM Transactions on Intelligent Systems and Technology, Data & Knowledge Engineering and Social Network Analysis and Mining.
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.