Francesca Pratesi
Impact in
- Transportation top 5%
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
Papers in
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- Privacy-Preserving Technologies in Data 8
-
- Privacy, Security, and Data Protection 6
- Co-authors
- Anna Monreale (8 shared papers)Fosca Giannotti (9 shared papers)Dino Pedreschi (6 shared papers)Luca Pappalardo (3 shared papers)Salvatore Rinzivillo (3 shared papers)Roberto Pellungrini (2 shared papers)Lamberto Zollo (1 shared paper)Cristina Ioana Muntean (2 shared papers)
- Journals
- ACM Computing Surveys (2 papers)Machine Learning (2 papers)EPJ Data Science (1 paper)Data & Knowledge Engineering (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Francesca Pratesi
14 papers receiving 216 citations
Peers
Comparison fields: 5 of 63
- Transportation 104
- Health Informatics 5
- Information Systems and Management 15
- 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 | 59 | |
| 2 | 2014 | 48 | |
| 3 | 2017 | 35 | |
| 4 | 2021 | 26 | |
| 5 | 2020 | 19 | |
| 6 | 2018 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2020 | 4 | |
| 10 | 2022 | 3 | |
| 11 | Privacy-Aware Distributed Mobility Data Analytics. | 2013 | 3 |
| 12 | 2025 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2015 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2026 | 0 | |
| 18 | 2024 | 0 |
About Francesca Pratesi
Francesca Pratesi is a scholar working on Artificial Intelligence, Sociology and Political Science, Transportation, Management Science and Operations Research and Building and Construction, having authored 18 papers that have together received 221 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Human Mobility and Location-Based Analysis (8 papers), Privacy, Security, and Data Protection (6 papers), Traffic Prediction and Management Techniques (2 papers), Data Quality and Management (2 papers), Transportation and Mobility Innovations (1 paper), Data-Driven Disease Surveillance (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Transportation (104 citations), Health Informatics (5 citations), Information Systems and Management (15 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, Roberto Pellungrini, Lamberto Zollo, Cristina Ioana Muntean, Chiara Boldrini and Natalia Andrienko. Their work appears in journals such as ACM Computing Surveys, Machine Learning, EPJ Data Science, Data & Knowledge Engineering and ACM Transactions on Intelligent Systems and Technology.
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.