Serena Villata

3.2k total citations
75 papers, 793 citations indexed

About

Serena Villata is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Serena Villata has authored 75 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 15 papers in Information Systems and 12 papers in Sociology and Political Science. Recurrent topics in Serena Villata's work include Multi-Agent Systems and Negotiation (24 papers), Topic Modeling (17 papers) and Natural Language Processing Techniques (13 papers). Serena Villata is often cited by papers focused on Multi-Agent Systems and Negotiation (24 papers), Topic Modeling (17 papers) and Natural Language Processing Techniques (13 papers). Serena Villata collaborates with scholars based in France, Italy and Luxembourg. Serena Villata's co-authors include Elena Cabrio, Leendert van der Torre, Matthias Thimm, Guido Boella, Stefano Menini, Sara Tonelli, Dov M. Gabbay, Massimiliano Giacomin, Pietro Baroni and Mihai Dusmanu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Artificial Intelligence in Medicine.

In The Last Decade

Serena Villata

68 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serena Villata France 17 644 166 132 61 52 75 793
Luigi Di Italy 15 502 0.8× 238 1.4× 91 0.7× 39 0.6× 153 2.9× 63 867
Gerard A. W. Vreeswijk Netherlands 10 595 0.9× 115 0.7× 74 0.6× 64 1.0× 69 1.3× 37 733
Chris Tar United States 6 878 1.4× 162 1.0× 93 0.7× 14 0.2× 23 0.4× 6 1.1k
Joris Hulstijn Netherlands 16 541 0.8× 151 0.9× 100 0.8× 181 3.0× 70 1.3× 86 825
Maciej Piasecki Poland 15 796 1.2× 98 0.6× 74 0.6× 22 0.4× 10 0.2× 115 1.1k
Natalia Criado United Kingdom 11 351 0.5× 110 0.7× 247 1.9× 30 0.5× 10 0.2× 48 598
Steve Yuan United States 4 852 1.3× 164 1.0× 96 0.7× 12 0.2× 24 0.5× 4 1.1k
Floris Bex Netherlands 15 636 1.0× 126 0.8× 67 0.5× 40 0.7× 294 5.7× 79 877
Henning Wachsmuth Germany 21 1.1k 1.8× 421 2.5× 204 1.5× 13 0.2× 23 0.4× 89 1.3k
Jan Kocoń Poland 12 609 0.9× 61 0.4× 82 0.6× 16 0.3× 10 0.2× 53 822

Countries citing papers authored by Serena Villata

Since Specialization
Citations

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

Fields of papers citing papers by Serena Villata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Villata

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Villata. A scholar is included among the top collaborators of Serena Villata 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 Serena Villata. Serena Villata 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.
Wang, X.J., Elena Cabrio, & Serena Villata. (2025). When automated fact-checking meets argumentation: Unveiling fake news through argumentative evidence. SPIRE - Sciences Po Institutional REpository. 16(3). 405–424.
2.
3.
Cabrio, Elena, et al.. (2025). FALCON: A multi-label graph-based dataset for fallacy classification in the COVID-19 infodemic. SPIRE - Sciences Po Institutional REpository. 988–995.
4.
Cabrio, Elena, et al.. (2024). Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering. Institutional Research Information System (Università degli Studi di Trento). 3446–3463. 1 indexed citations
5.
Cabrio, Elena, et al.. (2024). CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures. SPIRE - Sciences Po Institutional REpository. 18463–18475. 1 indexed citations
6.
Cabrio, Elena, et al.. (2023). BiRDy: Bullying Role Detection in Multi-Party Chats. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 16464–16466. 1 indexed citations
7.
Cabrio, Elena, et al.. (2023). Harnessing Bullying Traces to Enhance Bullying Participant Role Identification in Multi-Party Chats. SHILAP Revista de lepidopterología. 36. 2 indexed citations
8.
Villata, Serena, et al.. (2023). Argument-based Detection and Classification of Fallacies in Political Debates. SPIRE - Sciences Po Institutional REpository. 11101–11112.
9.
Cabrio, Elena, et al.. (2023). DISPUTool 2.0: A Modular Architecture for Multi-Layer Argumentative Analysis of Political Debates. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 16431–16433. 2 indexed citations
10.
Cabrio, Elena, et al.. (2023). Playing the Part of the Sharp Bully: Generating Adversarial Examples for Implicit Hate Speech Detection. SPIRE - Sciences Po Institutional REpository. 2758–2772. 5 indexed citations
11.
Lapesa, Gabriella, et al.. (2023). Mining, Assessing, and Improving Arguments in NLP and the Social Sciences. 1–6. 1 indexed citations
12.
Michel, Franck, Fabien Gandon, Elena Cabrio, et al.. (2021). Covid-on-the-Web: Exploring the COVID-19 scientific literature through visualization of linked data from entity and argument mining. Quantitative Science Studies. 2(4). 1301–1323. 3 indexed citations
13.
Ahmed, Javed, Serena Villata, & Guido Governatori. (2017). Information and friend segregation for online social networks: a user study. AI & Society. 34(4). 753–766. 3 indexed citations
14.
Chen, Qingliang, et al.. (2015). PRIMA 2015: Principles and Practice of Multi-Agent Systems 18th International Conference, Bertinoro, Italy, October 26-30, 2015, Proceedings. Springer eBooks. 2 indexed citations
15.
Baroni, Pietro, Guido Boella, Federico Cerutti, et al.. (2014). On the Input/Output behavior of argumentation frameworks. Artificial Intelligence. 217. 144–197. 25 indexed citations
16.
Rotolo, Antonino, Serena Villata, & Fabien Gandon. (2013). A deontic logic semantics for licenses composition in the web of data. SPIRE - Sciences Po Institutional REpository. 111–120. 1 indexed citations
17.
Villata, Serena, Guido Boella, Dov M. Gabbay, & Leendert van der Torre. (2010). Arguing about Trust in Multiagent Systems. Open Repository and Bibliography (University of Luxembourg). 236–243. 2 indexed citations
18.
Boella, Guido, Dov M. Gabbay, Leendert van der Torre, & Serena Villata. (2009). Meta-Argumentation part 1. Studia Logica. 1 indexed citations
19.
Boella, Guido, Leendert van der Torre, & Serena Villata. (2009). Four Ways to Change Coalitions: Agents, Dependencies, Norms and Internal Dynamics. Open Repository and Bibliography (University of Luxembourg). 3 indexed citations
20.
Ienco, Dino, Serena Villata, & Cristina Bosco. (2008). Automatic extraction of subcategorization frames for Italian. Language Resources and Evaluation. 95(7). 2094–2100. 5 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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