Francesco Sovrano

403 total citations
17 papers, 116 citations indexed

About

Francesco Sovrano is a scholar working on Artificial Intelligence, Political Science and International Relations and Information Systems and Management. According to data from OpenAlex, Francesco Sovrano has authored 17 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Political Science and International Relations and 3 papers in Information Systems and Management. Recurrent topics in Francesco Sovrano's work include Explainable Artificial Intelligence (XAI) (7 papers), Topic Modeling (5 papers) and Artificial Intelligence in Law (4 papers). Francesco Sovrano is often cited by papers focused on Explainable Artificial Intelligence (XAI) (7 papers), Topic Modeling (5 papers) and Artificial Intelligence in Law (4 papers). Francesco Sovrano collaborates with scholars based in Italy, Switzerland and United States. Francesco Sovrano's co-authors include Fabio Vitali, Monica Palmirani, Amanda Prorok, Alberto Bacchelli, Andrea Asperti, Earl T. Barr, Kevin D. Ashley, Alberto and Emmie Hine and has published in prestigious journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Government Information Quarterly.

In The Last Decade

Francesco Sovrano

14 papers receiving 111 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Francesco Sovrano Italy	6	93	28	23	13	11	17	116
Saffron Huang United Kingdom	2	103 1.1×	29 1.0×	17 0.7×	6 0.5×	4 0.4×	2	145
Charlotte Stix Netherlands	4	31 0.3×	69 2.5×	21 0.9×	10 0.8×	5 0.5×	6	106
Isabel O. Gallegos United States	3	79 0.8×	17 0.6×	21 0.9×	3 0.2×	3 0.3×	6	156
Potsawee Manakul United Kingdom	5	130 1.4×	5 0.2×	16 0.7×	7 0.5×	7 0.6×	13	173
Trevor Cai United States	3	99 1.1×	20 0.7×	17 0.7×	5 0.4×	2 0.2×	5	146
Francis Song United States	3	106 1.1×	20 0.7×	17 0.7×	5 0.4×	2 0.2×	4	148
Markus Anderljung Canada	5	49 0.5×	54 1.9×	26 1.1×	2 0.2×	4 0.4×	10	120
Zeerak Talat Canada	6	84 0.9×	24 0.9×	9 0.4×	4 0.3×	2 0.2×	16	118
Sami Mourad United States	4	83 0.9×	19 0.7×	18 0.8×		7 0.6×	5	97
Lise Jaillant United Kingdom	6	25 0.3×	13 0.5×	8 0.3×	7 0.5×	15 1.4×	27	118

Countries citing papers authored by Francesco Sovrano

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Francesco Sovrano

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Sovrano. A scholar is included among the top collaborators of Francesco Sovrano 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 Francesco Sovrano. Francesco Sovrano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Sovrano, Francesco, et al.. (2025). Simplifying software compliance: AI technologies in drafting technical documentation for the AI Act. Empirical Software Engineering. 30(4). 91–91. 1 indexed citations

Sovrano, Francesco, et al.. (2025). Detecting Semantic Clones of Unseen Functionality. 1312–1324.

Sovrano, Francesco, et al.. (2025). Large Language Models for In-File Vulnerability Localization Can Be “Lost in the End”. Proceedings of the ACM on software engineering.. 2(FSE). 891–913. 3 indexed citations

Sovrano, Francesco, et al.. (2024). An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms. Repository of the University of Namur. 46–56. 2 indexed citations

Sovrano, Francesco, et al.. (2024). DiscoLQA: zero-shot discourse-based legal question answering on European Legislation. Artificial Intelligence and Law. 33(2). 323–359.

Sovrano, Francesco, et al.. (2024). How to Improve the Explanatory Power of an Intelligent Textbook: a Case Study in Legal Writing. International Journal of Artificial Intelligence in Education. 35(3). 987–1021. 1 indexed citations

Sovrano, Francesco & Fabio Vitali. (2023). An objective metric for Explainable AI: How and why to estimate the degree of explainability. Knowledge-Based Systems. 278. 110866–110866. 22 indexed citations

Sovrano, Francesco & Fabio Vitali. (2022). Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data. Data Mining and Knowledge Discovery. 38(5). 3141–3168. 12 indexed citations

Sovrano, Francesco, Monica Palmirani, & Fabio Vitali. (2022). Combining shallow and deep learning approaches against data scarcity in legal domains. Government Information Quarterly. 39(3). 101715–101715. 5 indexed citations

10.

Sovrano, Francesco & Fabio Vitali. (2022). How to Quantify the Degree of Explainability: Experiments and Practical Implications. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–9. 7 indexed citations

11.

Sovrano, Francesco, et al.. (2022). Metrics, Explainability and the European AI Act Proposal. SHILAP Revista de lepidopterología. 5(1). 126–138. 30 indexed citations

12.

Sovrano, Francesco & Fabio Vitali. (2021). Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces. arXiv (Cornell University). 11 indexed citations

13.

Sovrano, Francesco, et al.. (2021). Explanation-Aware Experience Replay in Rule-Dense Environments. IEEE Robotics and Automation Letters. 7(2). 898–905. 9 indexed citations

14.

Sovrano, Francesco, et al.. (2021). A dataset for evaluating legal question answering on private international law. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 230–234. 5 indexed citations

15.

Asperti, Andrea, et al.. (2019). Crawling in Rogue's Dungeons With Deep Reinforcement Techniques. IEEE Transactions on Games. 12(2). 177–186. 4 indexed citations

16.

Sovrano, Francesco, Fabio Vitali, & Monica Palmirani. (2019). The Difference between Explainable and Explaining: Requirements and Challenges under the GDPR.. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 3 indexed citations

17.

Asperti, Andrea, et al.. (2017). A Modular Deep-learning Environment for Rogue. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 12. 362–373. 1 indexed citations

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.

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