Antonio Lieto
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 32
- Logic, Reasoning, and Knowledge 13
- AI-based Problem Solving and Planning 13
- Advanced Text Analysis Techniques 11
- Cognitive Science and Mapping 11
- Natural Language Processing Techniques 9
- Topic Modeling 8
- Human-Computer Interaction top 10%
- Museology top 10%
-
- Biomedical Text Mining and Ontologies 10
Antonio Lieto
77 papers receiving 552 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 402
- Human-Computer Interaction 29
- General Decision Sciences 8
- Museology 15
- Cognitive Neuroscience 82
Countries citing papers authored by Antonio Lieto
This map shows the geographic impact of Antonio Lieto'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 Antonio Lieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Lieto more than expected).
Fields of papers citing papers by Antonio Lieto
This network shows the impact of papers produced by Antonio Lieto. 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 Antonio Lieto. The network helps show where Antonio Lieto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Antonio Lieto, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 16 | |
| 10 | Functional and Structural Models of Commonsense Reasoning in Cognitive Architectures | 2021 | 2 |
| 11 | 2020 | 3 | |
| 12 | COCOS: A typicality based COncept COmbination System | 2018 | 5 |
| 13 | 2017 | 1 | |
| 14 | A common-sense conceptual categorization system integrating heterogeneous proxytypes and the dual process of reasoning | 2015 | 16 |
| 15 | ArsEmotica for arsmeteo.org: Emotion-Driven Exploration of Online Art Collections | 2015 | 2 |
| 16 | On Mental Imagery in Lexical Processing: Computational Modeling of the Visual Load Associated to Concepts. | 2015 | 2 |
| 17 | Influencing the Others' Minds: An Experimental Evaluation of the Use and Efficacy of Fallacious-Reducible Arguments in Web and Mobile Technologies | 2014 | 5 |
| 18 | Persuasion in mobile apps and logical fallacies: A preliminary study | 2014 | 1 |
| 19 | 2014 | 12 | |
| 20 | 2014 | 3 |
About Antonio Lieto
Antonio Lieto is a scholar working on Artificial Intelligence, Conservation and Museology, having authored 84 papers that have together received 611 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (32 papers), Logic, Reasoning, and Knowledge (13 papers), AI-based Problem Solving and Planning (13 papers), Advanced Text Analysis Techniques (11 papers), Cognitive Science and Mapping (11 papers), Biomedical Text Mining and Ontologies (10 papers), Natural Language Processing Techniques (9 papers) and Topic Modeling (8 papers). The work is most often cited by research in Artificial Intelligence (402 citations), Human-Computer Interaction (29 citations) and General Decision Sciences (8 citations). Antonio Lieto has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Marcello Frixione, Daniele P. Radicioni, Rossana Damiano, Alessandro Oltramari, David Vernon, Mehul Bhatt, Gian Luca Pozzato, Christian Lebière, Vincenzo Lombardo and Fabiana Vernero.
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.