Francesco Sovrano
Impact in
- Artificial Intelligence top 5%
- Explainable Artificial Intelligence (XAI)
- Topic Modeling
- Reinforcement Learning in Robotics
- Semantic Web and Ontologies
- Intelligent Tutoring Systems and Adaptive Learning
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
-
- Explainable Artificial Intelligence (XAI) 13
- Reinforcement Learning in Robotics 5
- Topic Modeling 2
- Intelligent Tutoring Systems and Adaptive Learning 2
-
- Artificial Intelligence in Law 6
- Co-authors
- Fabio Vitali (16 shared papers)Monica Palmirani (13 shared papers)Alberto Bacchelli (6 shared papers)Amanda Prorok (1 shared paper)Andrea Asperti (3 shared papers)Giulia Vilone (2 shared papers)Kevin D. Ashley (1 shared paper)Peter L. Brusilovsky (1 shared paper)
- Journals
- Empirical Software Engineering (1 paper)Government Information Quarterly (1 paper)Artificial Intelligence and Law (1 paper)Knowledge-Based Systems (1 paper)International Journal of Artificial Intelligence in Education (1 paper)
- Partner nations
- ItalySwitzerlandBelgium
In The Last Decade
Francesco Sovrano
32 papers receiving 317 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 201
- Safety Research 40
- Law 45
- Health Informatics 6
- Political Science and International Relations 72
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 11 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 52 | |
| 2 | 2020 | 39 | |
| 3 | 2023 | 34 | |
| 4 | 2020 | 26 | |
| 5 | 2022 | 20 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2019 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2025 | 5 | |
| 20 | 2025 | 5 |
About Francesco Sovrano
Francesco Sovrano is a scholar working on Artificial Intelligence, Political Science and International Relations, Safety Research, Information Systems and Law, having authored 33 papers that have together received 334 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (13 papers), Artificial Intelligence in Law (6 papers), Reinforcement Learning in Robotics (5 papers), Software Engineering Research (3 papers), Biomedical Text Mining and Ontologies (2 papers), Digitalization, Law, and Regulation (2 papers), Topic Modeling (2 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). The work is most often cited by research in Artificial Intelligence (201 citations), Safety Research (40 citations), Law (45 citations), Health Informatics (6 citations) and Political Science and International Relations (72 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, Andrea Asperti, Giulia Vilone, Kevin D. Ashley, Peter L. Brusilovsky, Emmie Hine and Earl T. Barr. Their work appears in journals such as Empirical Software Engineering, Government Information Quarterly, Artificial Intelligence and Law, Knowledge-Based Systems and International Journal of Artificial Intelligence in Education.
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.