Serena Villata
- Artificial Intelligence top 2%
- Information Systems top 5%
- Sociology and Political Science top 10%
- Management Information Systems top 10%
- Political Science and International Relations top 10%
- Co-authors
- Elena CabrioLeendert van der TorreMatthias ThimmGuido BoellaSara TonelliStefano MeniniDov M. GabbayPietro Baroni
- Topics
- Multi-Agent Systems and Negotiation (24 papers)Topic Modeling (17 papers)Natural Language Processing Techniques (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaArtificial IntelligenceArtificial Intelligence in Medicine
- Partner nations
- FranceItalyLuxembourg
In The Last Decade
Serena Villata
68 papers receiving 753 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 644
- Information Systems 166
- Sociology and Political Science 132
- Management Information Systems 61
- Political Science and International Relations 52
Countries citing papers authored by Serena Villata
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 36 | |
| 14 | PRIMA 2015: Principles and Practice of Multi-Agent Systems 18th International Conference, Bertinoro, Italy, October 26-30, 2015, Proceedings | 2 |
| 15 | 25 | |
| 16 | 39 | |
| 17 | 17 | |
| 18 | Meta-Argumentation part 1 | 1 |
| 19 | Four Ways to Change Coalitions: Agents, Dependencies, Norms and Internal Dynamics | 3 |
| 20 | 5 |
About Serena Villata
Serena Villata is a scholar working on Artificial Intelligence, Management Information Systems and Information Systems, having authored 75 papers that have together received 793 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (24 papers), Topic Modeling (17 papers) and Natural Language Processing Techniques (13 papers). The work is most often cited by research in Artificial Intelligence (644 citations), Information Systems (166 citations) and Health Informatics (10 citations). Serena Villata has collaborated with scholars based in France, Italy and Luxembourg. Frequent co-authors include Elena Cabrio, Leendert van der Torre, Matthias Thimm, Guido Boella, Sara Tonelli, Stefano Menini, Dov M. Gabbay, Pietro Baroni, Massimiliano Giacomin and Mihai Dusmanu. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Artificial Intelligence in Medicine.
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.