Stefano Montanelli
- Information Systems top 5%
- Service-Oriented Architecture and Web Services 15
- Data Mining Algorithms and Applications 7
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 33
- Topic Modeling 7
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- Peer-to-Peer Network Technologies 11
- Advanced Database Systems and Queries 7
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- Data Quality and Management 7
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing 7
Stefano Montanelli
56 papers receiving 379 citations
Peers
Comparison fields: 5 of 57
- Information Systems 216
- Artificial Intelligence 305
- Computer Networks and Communications 166
- Management Science and Operations Research 75
- Computer Science Applications 23
Countries citing papers authored by Stefano Montanelli
This map shows the geographic impact of Stefano Montanelli'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 Stefano Montanelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Montanelli more than expected).
Fields of papers citing papers by Stefano Montanelli
This network shows the impact of papers produced by Stefano Montanelli. 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 Stefano Montanelli. The network helps show where Stefano Montanelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefano Montanelli, 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 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | A Bootstrapping Approach for Semi-Automated Legal Knowledge Extraction and Enrichment. | 2020 | 1 |
| 6 | Consensus-Based Techniques for Range-Task Resolution in Crowdsourcing Systems. | 2017 | 0 |
| 7 | 2016 | 4 | |
| 8 | 2016 | 2 | |
| 9 | 2015 | 14 | |
| 10 | Results of the Ontology Alignment Evaluation Initiative 2014 | 2014 | 11 |
| 11 | Thematic Exploration of Linked Data | 2011 | 5 |
| 12 | Instance Matching for Ontology Population. | 2008 | 17 |
| 13 | Towards a benchmark for instance matching | 2008 | 27 |
| 14 | 2008 | 12 | |
| 15 | The HMatch 2.0 Suite for Ontology Matchmaking. | 2007 | 2 |
| 16 | Ontology-based Classification and Retrieval of Music Resources. | 2006 | 0 |
| 17 | 2004 | 2 | |
| 18 | Ontology-addressable contents in p2p networks | 2003 | 24 |
| 19 | The Helios framework for peer-based knowledge sharing and evolution. | 2003 | 1 |
| 20 | 2003 | 59 |
About Stefano Montanelli
Stefano Montanelli is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems, having authored 64 papers that have together received 427 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (33 papers), Service-Oriented Architecture and Web Services (15 papers), Peer-to-Peer Network Technologies (11 papers), Topic Modeling (7 papers), Advanced Database Systems and Queries (7 papers), Mobile Crowdsensing and Crowdsourcing (7 papers), Data Mining Algorithms and Applications (7 papers) and Data Quality and Management (7 papers). The work is most often cited by research in Information Systems (216 citations), Artificial Intelligence (305 citations) and Computer Networks and Communications (166 citations). Stefano Montanelli has collaborated with scholars based in Italy, Greece and Sweden. Frequent co-authors include Silvana Castano, Alfio Ferrara, Elena Pagani, Gian Paolo Rossi, Georgios Petasis, Luca A. Ludovico, Goffredo Haus, Vangelis Karkaletsis, Michael Wessel and Ralf Möller. Their work appears in journals such as Future Generation Computer Systems, Information Systems, The Knowledge Engineering Review, Language Resources and Evaluation and Drug Metabolism and Personalized Therapy.
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.