Roberta Calegari
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Information Systems
- Computational Theory and Mathematics
- Computer Vision and Pattern Recognition
- Co-authors
- Andrea OmiciniGiovanni CiattoEnrico DentiViviana MascardiStefano MarianiGiovanni SartorCecilia MascoloMirco Musolesi
- Topics
- Logic, Reasoning, and Knowledge (17 papers)Semantic Web and Ontologies (14 papers)Explainable Artificial Intelligence (XAI) (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaACM Computing SurveysAdvances in Space Research
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Roberta Calegari
43 papers receiving 275 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 199
- Computer Networks and Communications 54
- Information Systems 39
- Computational Theory and Mathematics 24
- Computer Vision and Pattern Recognition 19
Countries citing papers authored by Roberta Calegari
This map shows the geographic impact of Roberta Calegari'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 Roberta Calegari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberta Calegari more than expected).
Fields of papers citing papers by Roberta Calegari
This network shows the impact of papers produced by Roberta Calegari. 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 Roberta Calegari. The network helps show where Roberta Calegari may publish in the future.
Co-authorship network of co-authors of Roberta Calegari
This figure shows the co-authorship network connecting the top 25 collaborators of Roberta Calegari. A scholar is included among the top collaborators of Roberta Calegari 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 Roberta Calegari. Roberta Calegari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | Towards cooperative argumentation for MAS: An actor-based approach | 1 |
| 14 | Arg-tuProlog: A tuProlog-based argumentation framework | 2 |
| 15 | Argumentation and Logic Programming for Explainable and Ethical AI. | 1 |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | Labelled Variables in Logic Programming: Foundations. | 5 |
| 20 | 1 |
About Roberta Calegari
Roberta Calegari is a scholar working on Artificial Intelligence, Information Systems and Management and Computer Networks and Communications, having authored 44 papers that have together received 294 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (17 papers), Semantic Web and Ontologies (14 papers) and Explainable Artificial Intelligence (XAI) (11 papers). The work is most often cited by research in Health Informatics (16 citations), Artificial Intelligence (199 citations) and Computer Networks and Communications (54 citations). Roberta Calegari has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Andrea Omicini, Giovanni Ciatto, Enrico Denti, Viviana Mascardi, Stefano Mariani, Giovanni Sartor, Cecilia Mascolo, Mirco Musolesi, Franco Raimondi and Agostino Dovier. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Advances in Space Research.
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.