Francesco Sovrano
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
-
- Explainable Artificial Intelligence (XAI) 10
- Topic Modeling 5
- Natural Language Processing Techniques 4
- Reinforcement Learning in Robotics 3
- Multi-Agent Systems and Negotiation 3
-
- Artificial Intelligence in Law 8
- Co-authors
- Fabio Vitali (13 shared papers)Monica Palmirani (10 shared papers)Alberto Bacchelli (3 shared papers)Amanda Prorok (1 shared paper)Kevin D. Ashley (1 shared paper)Giulia Vilone (2 shared papers)Andrea Asperti (2 shared papers)Earl T. Barr (1 shared paper)
- Journals
- Artificial Intelligence and Law (1 paper)IEEE Robotics and Automation Letters (1 paper)Data Mining and Knowledge Discovery (1 paper)International Journal of Artificial Intelligence in Education (1 paper)Empirical Software Engineering (1 paper)
- Partner nations
- ItalySwitzerlandBelgium
In The Last Decade
Francesco Sovrano
24 papers receiving 213 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 36
- Safety Research 54
- Artificial Intelligence 172
- Information Systems and Management 15
- Law 18
Countries citing papers authored by Francesco Sovrano
This map shows the geographic impact of Francesco Sovrano'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 Francesco Sovrano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Sovrano more than expected).
Fields of papers citing papers by Francesco Sovrano
This network shows the impact of papers produced by Francesco Sovrano. 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 Francesco Sovrano. The network helps show where Francesco Sovrano may publish in the future.
Co-authors
The 9 scholars most cited alongside Francesco Sovrano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 48 | |
| 2 | 2020 | 35 | |
| 3 | 2023 | 28 | |
| 4 | 2022 | 16 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 6 | |
| 10 | 2025 | 5 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2022 | 5 | |
| 15 | The Difference between Explainable and Explaining: Requirements and Challenges under the GDPR. | 2019 | 3 |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Francesco Sovrano
Francesco Sovrano is a scholar working on Artificial Intelligence, Political Science and International Relations, Information Systems, Safety Research and Information Systems and Management, having authored 25 papers that have together received 220 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (10 papers), Artificial Intelligence in Law (8 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Ethics and Social Impacts of AI (4 papers), Reinforcement Learning in Robotics (3 papers), Multi-Agent Systems and Negotiation (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Health Informatics (36 citations), Safety Research (54 citations), Artificial Intelligence (172 citations), Information Systems and Management (15 citations) and Law (18 citations). Francesco Sovrano has collaborated with scholars based in Italy, Switzerland and Belgium. Frequent co-authors include Fabio Vitali, Monica Palmirani, Alberto Bacchelli, Amanda Prorok, Kevin D. Ashley, Giulia Vilone, Andrea Asperti, Earl T. Barr and Emmie Hine. Their work appears in journals such as Artificial Intelligence and Law, IEEE Robotics and Automation Letters, Data Mining and Knowledge Discovery, International Journal of Artificial Intelligence in Education and Empirical Software Engineering.
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.