Antonio Feraco
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
-
- Emotion and Mood Recognition
Papers in
-
- Sentiment Analysis and Opinion Mining 3
- Advanced Text Analysis Techniques 2
- Topic Modeling 1
-
- Historical and Environmental Studies 1
- Co-authors
- Sivaji Bandyopadhyay (3 shared papers)Erik Cambria (3 shared papers)Dipankar Das (1 shared paper)Dipankar Das (2 shared papers)Eleonora Pantano (4 shared papers)Rocco Servidio (2 shared papers)Assunta Tavernise (1 shared paper)
- Journals
- Information Technology & Tourism (1 paper)International Journal of Management Cases (1 paper)DIAL (Catholic University of Leuven) (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
In The Last Decade
Antonio Feraco
7 papers receiving 499 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 374
- Experimental and Cognitive Psychology 68
- Information Systems 73
- General Social Sciences 10
- Health Informatics 4
Countries citing papers authored by Antonio Feraco
This map shows the geographic impact of Antonio Feraco'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 Feraco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Feraco more than expected).
Fields of papers citing papers by Antonio Feraco
This network shows the impact of papers produced by Antonio Feraco. 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 Feraco. The network helps show where Antonio Feraco may publish in the future.
Co-authors
The 7 scholars most cited alongside Antonio Feraco, 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 | 2017 | 287 | |
| 2 | 2017 | 217 | |
| 3 | 2008 | 6 | |
| 4 | 2017 | 5 | |
| 5 | 2009 | 4 | |
| 6 | Emotion and reason in the buying process of tourist product | 2006 | 2 |
| 7 | Comunicazione digitale e gestione del territorio | 2007 | 2 |
About Antonio Feraco
Antonio Feraco is a scholar working on Artificial Intelligence, Sociology and Political Science, Marketing, Information Systems and Management and Experimental and Cognitive Psychology, having authored 7 papers that have together received 523 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (3 papers), Advanced Text Analysis Techniques (2 papers), Management, Economics, and Public Policy (1 paper), Historical and Environmental Studies (1 paper), Customer Service Quality and Loyalty (1 paper), Emotion and Mood Recognition (1 paper), Urban Planning and Valuation (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Artificial Intelligence (374 citations), Experimental and Cognitive Psychology (68 citations), Information Systems (73 citations), General Social Sciences (10 citations) and Health Informatics (4 citations). Antonio Feraco has collaborated with scholars based in India and Singapore. Frequent co-authors include Sivaji Bandyopadhyay, Erik Cambria, Dipankar Das, Dipankar Das, Eleonora Pantano, Rocco Servidio and Assunta Tavernise. Their work appears in journals such as Information Technology & Tourism, International Journal of Management Cases, DIAL (Catholic University of Leuven) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.