Claudio Novelli

922 total citations · 2 hit papers
29 papers, 356 citations indexed

About

Claudio Novelli is a scholar working on Artificial Intelligence, Safety Research and Political Science and International Relations. According to data from OpenAlex, Claudio Novelli has authored 29 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 17 papers in Safety Research and 10 papers in Political Science and International Relations. Recurrent topics in Claudio Novelli's work include Ethics and Social Impacts of AI (17 papers), Law, AI, and Intellectual Property (9 papers) and Cybersecurity and Cyber Warfare Studies (5 papers). Claudio Novelli is often cited by papers focused on Ethics and Social Impacts of AI (17 papers), Law, AI, and Intellectual Property (9 papers) and Cybersecurity and Cyber Warfare Studies (5 papers). Claudio Novelli collaborates with scholars based in Italy, United States and United Kingdom. Claudio Novelli's co-authors include Luciano Floridi, Mariarosaria Taddeo, Federico Casolari, Antonino Rotolo, Philipp Hacker, Emmie Hine, Huw Roberts, Giorgio Alfredo Spedicato, Jessica Morley and Giovanni Sartor and has published in prestigious journals such as Science and Engineering Ethics, AI & Society and Philosophy & Technology.

In The Last Decade

Claudio Novelli

26 papers receiving 332 citations

Hit Papers

Accountability in artificial intelligence: what it is and... 2023 2026 2024 2025 2023 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Novelli Italy 9 177 132 49 44 43 29 356
Johann Laux United Kingdom 8 154 0.9× 116 0.9× 56 1.1× 43 1.0× 47 1.1× 16 318
Jonas Schuett Germany 8 145 0.8× 131 1.0× 41 0.8× 59 1.3× 39 0.9× 13 310
Michael Katell United Kingdom 8 218 1.2× 116 0.9× 73 1.5× 42 1.0× 59 1.4× 24 355
Matthew Scherer United States 4 139 0.8× 104 0.8× 68 1.4× 41 0.9× 50 1.2× 9 352
Emmie Hine Italy 10 136 0.8× 88 0.7× 77 1.6× 28 0.6× 46 1.1× 33 333
Reuben Binns United Kingdom 4 216 1.2× 155 1.2× 86 1.8× 39 0.9× 45 1.0× 8 373
Elettra Bietti United States 7 149 0.8× 62 0.5× 77 1.6× 20 0.5× 48 1.1× 14 269
Jess Whittlestone United Kingdom 7 224 1.3× 130 1.0× 60 1.2× 77 1.8× 40 0.9× 10 357
Michelle Seng Ah Lee United Kingdom 9 248 1.4× 153 1.2× 61 1.2× 44 1.0× 62 1.4× 18 357
Reuben Binns United Kingdom 7 108 0.6× 59 0.4× 73 1.5× 15 0.3× 40 0.9× 14 210

Countries citing papers authored by Claudio Novelli

Since Specialization
Citations

This map shows the geographic impact of Claudio Novelli'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 Claudio Novelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Novelli more than expected).

Fields of papers citing papers by Claudio Novelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudio Novelli. 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 Claudio Novelli. The network helps show where Claudio Novelli may publish in the future.

Co-authorship network of co-authors of Claudio Novelli

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

All Works

20 of 20 papers shown
1.
Hine, Emmie, et al.. (2025). Correction: Submarine Cables and the Risks to Digital Sovereignty. Minds and Machines. 35(1).
2.
Morley, Jessica, et al.. (2025). Who is an AI Ethicist? An empirical study of expertise, skills, and profiles to build a competency framework. AI and Ethics. 5(4). 3713–3725. 3 indexed citations
3.
Floridi, Luciano, Jessica Morley, & Claudio Novelli. (2025). Red Reading The Text: On How To Red Team Texts Using LLMs. Philosophy & Technology. 38(4).
4.
Novelli, Claudio, Federico Casolari, Philipp Hacker, Giorgio Alfredo Spedicato, & Luciano Floridi. (2024). Generative AI in EU law: Liability, privacy, intellectual property, and cybersecurity. Computer law & security review. 55. 106066–106066. 16 indexed citations
5.
Novelli, Claudio, Federico Casolari, Antonino Rotolo, Mariarosaria Taddeo, & Luciano Floridi. (2024). AI Risk Assessment: A Scenario-Based, Proportional Methodology for the AI Act. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 3(1). 24 indexed citations
6.
Hine, Emmie, Claudio Novelli, Mariarosaria Taddeo, & Luciano Floridi. (2024). Supporting Trustworthy AI Through Machine Unlearning. Science and Engineering Ethics. 30(5). 43–43. 2 indexed citations
7.
Hine, Emmie, et al.. (2024). Submarine Cables and the Risks to Digital Sovereignty. Minds and Machines. 34(3). 5 indexed citations
8.
Morley, Jessica, et al.. (2024). Regulation by design: features, practices, limitations, and governance implications. SSRN Electronic Journal. 1 indexed citations
9.
Hine, Emmie, et al.. (2024). Submarine Cables and the Risks to Digital Sovereignty. SSRN Electronic Journal. 8 indexed citations
10.
Novelli, Claudio, et al.. (2024). Artificial Intelligence for the Internal Democracy of Political Parties. SSRN Electronic Journal. 3 indexed citations
11.
Hine, Emmie, et al.. (2024). Digital Sovereignty: A Descriptive Analysis and a Critical Evaluation of Existing Models. SSRN Electronic Journal. 3 indexed citations
12.
Novelli, Claudio, Philipp Hacker, Jessica Morley, Jarle Trondal, & Luciano Floridi. (2024). A Robust Governance for the AI Act: AI Office, AI Board, Scientific Panel, and National Authorities. SSRN Electronic Journal. 9 indexed citations
13.
Novelli, Claudio, et al.. (2024). Artificial Intelligence for the Internal Democracy of Political Parties. Minds and Machines. 34(4). 1 indexed citations
14.
Novelli, Claudio & Giulia Sandri. (2024). Digital Democracy in the Age of Artificial Intelligence. SSRN Electronic Journal. 3 indexed citations
15.
Novelli, Claudio, Federico Casolari, Antonino Rotolo, Mariarosaria Taddeo, & Luciano Floridi. (2023). Taking AI risks seriously: a new assessment model for the AI Act. AI & Society. 39(5). 2493–2497. 49 indexed citations breakdown →
16.
Novelli, Claudio, Mariarosaria Taddeo, & Luciano Floridi. (2023). Accountability in artificial intelligence: what it is and how it works. AI & Society. 39(4). 1871–1882. 130 indexed citations breakdown →
17.
Novelli, Claudio, Federico Casolari, Antonino Rotolo, Mariarosaria Taddeo, & Luciano Floridi. (2023). How to Evaluate the Risks of Artificial Intelligence: A Proportionality-Based, Risk Model for the AI Act. SSRN Electronic Journal. 6 indexed citations
18.
Hine, Emmie, Claudio Novelli, Mariarosaria Taddeo, & Luciano Floridi. (2023). Supporting Trustworthy AI Through Machine Unlearning. SSRN Electronic Journal. 5 indexed citations
19.
Ziosi, Marta, Jakob Mökander, Claudio Novelli, et al.. (2023). The EU AI Liability Directive: shifting the burden from proof to evidence. SSRN Electronic Journal. 5 indexed citations
20.
Novelli, Claudio, Federico Casolari, Antonino Rotolo, Mariarosaria Taddeo, & Luciano Floridi. (2023). Taking AI Risks Seriously: A Proposal for the AI Act. SSRN Electronic Journal. 7 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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