Francesco Fabiano
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- Logic, Reasoning, and Knowledge 5
- AI-based Problem Solving and Planning 5
- Multi-Agent Systems and Negotiation 4
- Semantic Web and Ontologies 3
- Explainable Artificial Intelligence (XAI) 2
- Topic Modeling 2
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- Computability, Logic, AI Algorithms 2
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- Microbial Community Ecology and Physiology 2
- Co-authors
- Marco ConfalonieriFrancesco SaltonEnrico PontelliLior HoreshBiplav SrivastavaFrancesca RossiAndrea LaschiGiulio Sciarra
- Cited by
- Critical Care and Intensive Care MedicinePulmonary and Respiratory MedicineArtificial Intelligence
- Journals
- Environmental Pollution (1 paper)Communications of the ACM (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Francesco Fabiano
12 papers receiving 281 citations
Peers
Comparison fields: 5 of 100
- Critical Care and Intensive Care Medicine 35
- Pulmonary and Respiratory Medicine 110
- Artificial Intelligence 66
- Immunology 39
- Radiological and Ultrasound Technology 7
Countries citing papers authored by Francesco Fabiano
This map shows the geographic impact of Francesco Fabiano'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 Fabiano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Fabiano more than expected).
Fields of papers citing papers by Francesco Fabiano
This network shows the impact of papers produced by Francesco Fabiano. 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 Fabiano. The network helps show where Francesco Fabiano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesco Fabiano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 13 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 35 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 2 | |
| 12 | Non-Well-Founded Set Based Multi-Agent Epistemic Action Language. | 2019 | 2 |
| 13 | 2018 | 16 | |
| 14 | 2017 | 163 | |
| 15 | 2016 | 33 |
About Francesco Fabiano
Francesco Fabiano is a scholar working on General Decision Sciences, Artificial Intelligence and Critical Care and Intensive Care Medicine, having authored 15 papers that have together received 286 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (5 papers), AI-based Problem Solving and Planning (5 papers), Multi-Agent Systems and Negotiation (4 papers), Semantic Web and Ontologies (3 papers), Computability, Logic, AI Algorithms (2 papers), Microbial Community Ecology and Physiology (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (35 citations), Pulmonary and Respiratory Medicine (110 citations) and Artificial Intelligence (66 citations). Francesco Fabiano has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Marco Confalonieri, Francesco Salton, Enrico Pontelli, Lior Horesh, Biplav Srivastava, Francesca Rossi, Andrea Laschi, Giulio Sciarra, Martina Cambi and Enrico Marchi. Their work appears in journals such as Environmental Pollution, Communications of the ACM and Frontiers in Microbiology.
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.