Francesca Lagioia
- Artificial Intelligence top 10%
- Safety Research top 5%
- Political Science and International Relations top 10%
- Cognitive Neuroscience
- Sociology and Political Science
- Co-authors
- Giovanni SartorGiuseppe ContissaPaolo TorroniMarco LippiHans‐W. MicklitzPrzemysław PałkaRiccardo RovattiMirko Degli Esposti
- Topics
- Artificial Intelligence in Law (9 papers)Ethics and Social Impacts of AI (9 papers)Law, AI, and Intellectual Property (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Artificial Intelligence ResearchNature Machine Intelligence
In The Last Decade
Francesca Lagioia
24 papers receiving 239 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 135
- Safety Research 111
- Political Science and International Relations 55
- Cognitive Neuroscience 50
- Sociology and Political Science 45
Countries citing papers authored by Francesca Lagioia
This map shows the geographic impact of Francesca Lagioia'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 Lagioia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Lagioia more than expected).
Fields of papers citing papers by Francesca Lagioia
This network shows the impact of papers produced by Francesca Lagioia. 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 Lagioia. The network helps show where Francesca Lagioia may publish in the future.
Co-authorship network of co-authors of Francesca Lagioia
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Lagioia. A scholar is included among the top collaborators of Francesca Lagioia 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 Francesca Lagioia. Francesca Lagioia 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | 11 | |
| 13 | 0 | |
| 14 | Explaining Potentially Unfair Clauses to the Consumer with the CLAUDETTE tool. | 1 |
| 15 | 3 | |
| 16 | GDPR Privacy Policies in CLAUDETTE: Challenges of Omission, Context and Multilingualism | 6 |
| 17 | 28 | |
| 18 | 4 | |
| 19 | Accidents Involving Autonomous Vehicles: Legal Issues and Ethical Dilemmas | 1 |
| 20 | 1 |
About Francesca Lagioia
Francesca Lagioia is a scholar working on Industrial relations, Safety Research and Health Informatics, having authored 32 papers that have together received 261 indexed citations. Recurring topics across this work include Artificial Intelligence in Law (9 papers), Ethics and Social Impacts of AI (9 papers) and Law, AI, and Intellectual Property (9 papers). The work is most often cited by research in Health Informatics (18 citations), Safety Research (111 citations) and Artificial Intelligence (135 citations). Francesca Lagioia has collaborated with scholars based in Italy, Poland and Germany. Frequent co-authors include Giovanni Sartor, Giuseppe Contissa, Paolo Torroni, Marco Lippi, Hans‐W. Micklitz, Przemysław Pałka, Riccardo Rovatti, Mirko Degli Esposti, Andrea Galassi and Mateusz Grochowski. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Artificial Intelligence Research and Nature Machine Intelligence.
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.