Danilo Dessı̀
Impact in
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- Online Learning and Analytics
- Artificial Intelligence top 5%
- Topic Modeling
- Advanced Graph Neural Networks
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
Papers in
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- Topic Modeling 20
- Semantic Web and Ontologies 15
- Advanced Graph Neural Networks 6
- Advanced Text Analysis Techniques 5
- Sentiment Analysis and Opinion Mining 4
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- Biomedical Text Mining and Ontologies 9
- Co-authors
- Diego Reforgiato Recupero (28 shared papers)Francesco Osborne (14 shared papers)Davide Buscaldi (11 shared papers)Enrico Motta (11 shared papers)Gianni Fenu (11 shared papers)Mirko Marras (6 shared papers)Harald Sack (11 shared papers)Sergio Consoli (5 shared papers)
- Journals
- IEEE Access (3 papers)Knowledge-Based Systems (2 papers)Information Processing & Management (2 papers)Applied Network Science (1 paper)Big Data Research (1 paper)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Danilo Dessı̀
42 papers receiving 523 citations
Peers
Comparison fields: 5 of 71
- Computer Science Applications 64
- Artificial Intelligence 380
- Management Science and Operations Research 75
- Information Systems 136
- Information Systems and Management 27
Countries citing papers authored by Danilo Dessı̀
This map shows the geographic impact of Danilo Dessı̀'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 Danilo Dessı̀ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Dessı̀ more than expected).
Fields of papers citing papers by Danilo Dessı̀
This network shows the impact of papers produced by Danilo Dessı̀. 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 Danilo Dessı̀. The network helps show where Danilo Dessı̀ may publish in the future.
Co-authors
The 25 scholars most cited alongside Danilo Dessı̀, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 77 | |
| 2 | 2018 | 70 | |
| 3 | 2020 | 62 | |
| 4 | 2022 | 34 | |
| 5 | 2018 | 34 | |
| 6 | 2021 | 28 | |
| 7 | 2022 | 23 | |
| 8 | 2020 | 21 | |
| 9 | 2018 | 18 | |
| 10 | 2023 | 17 | |
| 11 | 2019 | 16 | |
| 12 | 2022 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2017 | 13 | |
| 15 | 2025 | 12 | |
| 16 | 2021 | 10 | |
| 17 | 2020 | 9 | |
| 18 | Exploiting Cognitive Computing and Frame Semantic Features for Biomedical Document Clustering. | 2017 | 7 |
| 19 | 2024 | 6 | |
| 20 | 2021 | 5 |
About Danilo Dessı̀
Danilo Dessı̀ is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Management Science and Operations Research and Information Systems and Management, having authored 45 papers that have together received 547 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Semantic Web and Ontologies (15 papers), Biomedical Text Mining and Ontologies (9 papers), Data Quality and Management (6 papers), Advanced Graph Neural Networks (6 papers), Advanced Text Analysis Techniques (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Computer Science Applications (64 citations), Artificial Intelligence (380 citations), Management Science and Operations Research (75 citations), Information Systems (136 citations) and Information Systems and Management (27 citations). Danilo Dessı̀ has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Diego Reforgiato Recupero, Francesco Osborne, Davide Buscaldi, Enrico Motta, Gianni Fenu, Mirko Marras, Harald Sack, Sergio Consoli, Mauro Dragoni and Marta Sabou. Their work appears in journals such as IEEE Access, Knowledge-Based Systems, Information Processing & Management, Applied Network Science and Big Data Research.
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.