Giovanni Pilato
- Artificial Intelligence top 2%
- Topic Modeling 24
- Natural Language Processing Techniques 21
- Speech and dialogue systems 19
- Sentiment Analysis and Opinion Mining 16
- Advanced Text Analysis Techniques 12
- Semantic Web and Ontologies 9
- Reinforcement Learning in Robotics 8
- Human-Computer Interaction top 5%
- Social Psychology top 10%
- Social Robot Interaction and HRI 13
Giovanni Pilato
129 papers receiving 949 citations
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 520
- Computer Vision and Pattern Recognition 211
- Human-Computer Interaction 55
- Social Psychology 150
- Health Informatics 9
Countries citing papers authored by Giovanni Pilato
This map shows the geographic impact of Giovanni Pilato'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 Giovanni Pilato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Pilato more than expected).
Fields of papers citing papers by Giovanni Pilato
This network shows the impact of papers produced by Giovanni Pilato. 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 Giovanni Pilato. The network helps show where Giovanni Pilato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giovanni Pilato, 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 | 2024 | 2 | |
| 2 | 2024 | 22 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 5 | |
| 8 | User Emotion Detection via Taxonomy Management: An Innovative System. | 2020 | 2 |
| 9 | 2020 | 1 | |
| 10 | 2020 | 2 | |
| 11 | 2017 | 6 | |
| 12 | ROBODANZA: Live Performances of a Creative Dancing Humanoid. | 2016 | 5 |
| 13 | Combining Representational Domains for Computational Creativity. | 2014 | 8 |
| 14 | 2013 | 20 | |
| 15 | An Emotional Storyteller Robot. | 2008 | 17 |
| 16 | 2007 | 5 | |
| 17 | Web directories as a knowledge base to build a multi-agent system for information sharing | 2004 | 3 |
| 18 | EXPERT CHAT-BOTS FOR CULTURAL HERITAGE | 2004 | 6 |
| 19 | Agents Ownership Setting by User Fingerprints. | 2003 | 1 |
| 20 | 1997 | 15 |
About Giovanni Pilato
Giovanni Pilato is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Transportation, having authored 139 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Natural Language Processing Techniques (21 papers), Speech and dialogue systems (19 papers), Sentiment Analysis and Opinion Mining (16 papers), Social Robot Interaction and HRI (13 papers), Advanced Text Analysis Techniques (12 papers), Semantic Web and Ontologies (9 papers) and Reinforcement Learning in Robotics (8 papers). The work is most often cited by research in Artificial Intelligence (520 citations), Computer Vision and Pattern Recognition (211 citations) and Human-Computer Interaction (55 citations). Giovanni Pilato has collaborated with scholars based in Italy, India and Germany. Frequent co-authors include Agnese Augello, Salvatore Gaglio, Filippo Vella, Ignazio Infantino, Riccardo Rizzo, Giorgio Vassallo, Salvatore Vitabile, Giosuè Lo Bosco, Alfredo Cuzzocrea and Antonio Chella. Their work appears in journals such as Robotics and Autonomous Systems, Future Internet, Logic Journal of IGPL, Robotics and Electronics.
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.