Mauro Dragoni
Impact in
- Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Semantic Web and Ontologies
- Explainable Artificial Intelligence (XAI)
- Health Informatics top 10%
Papers in
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- Topic Modeling 23
- Semantic Web and Ontologies 19
- Sentiment Analysis and Opinion Mining 16
- Advanced Text Analysis Techniques 16
- Natural Language Processing Techniques 12
- Speech and dialogue systems 8
- Multi-Agent Systems and Negotiation 7
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- Service-Oriented Architecture and Web Services 6
- Co-authors
- Giulio Petrucci (3 shared papers)Erik Cambria (2 shared papers)Célia da Costa Pereira (9 shared papers)Ivan Donadello (10 shared papers)Soujanya Poria (1 shared paper)Marco Federici (4 shared papers)Andrea G. B. Tettamanzi (9 shared papers)Claudio Eccher (10 shared papers)
In The Last Decade
Mauro Dragoni
74 papers receiving 772 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 622
- Health Informatics 18
- Information Systems 181
- Applied Psychology 31
- Management Science and Operations Research 60
Countries citing papers authored by Mauro Dragoni
This map shows the geographic impact of Mauro Dragoni'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 Mauro Dragoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Dragoni more than expected).
Fields of papers citing papers by Mauro Dragoni
This network shows the impact of papers produced by Mauro Dragoni. 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 Mauro Dragoni. The network helps show where Mauro Dragoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Mauro Dragoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 99 | |
| 2 | 2017 | 75 | |
| 3 | 2018 | 70 | |
| 4 | 2020 | 39 | |
| 5 | 2017 | 39 | |
| 6 | 2014 | 39 | |
| 7 | 2022 | 37 | |
| 8 | 2017 | 31 | |
| 9 | 2024 | 29 | |
| 10 | 2011 | 28 | |
| 11 | 2018 | 24 | |
| 12 | 2017 | 23 | |
| 13 | 2012 | 21 | |
| 14 | 2017 | 18 | |
| 15 | 2018 | 17 | |
| 16 | 2019 | 13 | |
| 17 | 2017 | 12 | |
| 18 | Modeling, Managing, Exposing, and Linking Ontologies with a Wiki-based Tool | 2014 | 11 |
| 19 | 2021 | 11 | |
| 20 | 2015 | 10 |
About Mauro Dragoni
Mauro Dragoni is a scholar working on Artificial Intelligence, Information Systems, General Health Professions, Molecular Biology and Applied Psychology, having authored 77 papers that have together received 825 indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Semantic Web and Ontologies (19 papers), Sentiment Analysis and Opinion Mining (16 papers), Advanced Text Analysis Techniques (16 papers), Natural Language Processing Techniques (12 papers), Speech and dialogue systems (8 papers), Multi-Agent Systems and Negotiation (7 papers) and Service-Oriented Architecture and Web Services (6 papers). The work is most often cited by research in Artificial Intelligence (622 citations), Health Informatics (18 citations), Information Systems (181 citations), Applied Psychology (31 citations) and Management Science and Operations Research (60 citations). Mauro Dragoni has collaborated with scholars based in Italy, France and Austria. Frequent co-authors include Giulio Petrucci, Erik Cambria, Célia da Costa Pereira, Ivan Donadello, Soujanya Poria, Marco Federici, Andrea G. B. Tettamanzi, Claudio Eccher, Sara Tonelli and Gabriella Pasi. Their work appears in journals such as IEEE Intelligent Systems, Cognitive Computation, Language Resources and Evaluation, Information Processing & Management and ACM Computing Surveys.
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.