Enrico Motta
- Artificial Intelligence top 0.2%
- Semantic Web and Ontologies 198
- Natural Language Processing Techniques 37
- Topic Modeling 35
- Information Systems top 0.1%
- Service-Oriented Architecture and Web Services 80
- Web Data Mining and Analysis 20
-
- Data Quality and Management 33
-
- Biomedical Text Mining and Ontologies 46
-
- Advanced Database Systems and Queries 30
- Co-authors
- Vanessa LópezMathieu d’AquinVictoria UrenMarta SabouJohn DomingueMaría Vargas-VeraFrancesco OsborneSimon Buckingham Shum
- Partner nations
- United KingdomHong KongItaly
In The Last Decade
Enrico Motta
269 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Artificial Intelligence 3.9k
- Information Systems 2.2k
- Management Science and Operations Research 616
- Management Information Systems 425
- Information Systems and Management 287
Countries citing papers authored by Enrico Motta
This map shows the geographic impact of Enrico Motta'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 Enrico Motta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Motta more than expected).
Fields of papers citing papers by Enrico Motta
This network shows the impact of papers produced by Enrico Motta. 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 Enrico Motta. The network helps show where Enrico Motta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Enrico Motta, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 3 | |
| 5 | 2020 | 7 | |
| 6 | 2014 | 2 | |
| 7 | Using ontologies: understanding the user experience | 2014 | 2 |
| 8 | Relation discovery from the semantic web | 2008 | 2 |
| 9 | An infrastructure for semantic web portals | 2007 | 2 |
| 10 | PowerMap: mapping the real semantic web on the fly | 2006 | 9 |
| 11 | An Infrastructure for Acquiring High Quality Semantic Metadata | 2006 | 3 |
| 12 | PowerAqua: fishing the semantic web | 2006 | 1 |
| 13 | Using the semantic web as background knowledge for ontology mapping | 2006 | 41 |
| 14 | A hybrid approach for extracting semantic relations from texts | 2006 | 23 |
| 15 | DSSim-ontology mapping with uncertainty | 2006 | 20 |
| 16 | The Open University at TREC 2006 Enterprise Track Expert Search Task | 2006 | 24 |
| 17 | The Semantic Web - ISWC 2005 : 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6-10, 2005 : proceedings | 2005 | 6 |
| 18 | The epistemology of scheduling problems | 2002 | 8 |
| 19 | The Unified Problem-Solving Method Development Language | 1999 | 7 |
| 20 | Symbol-level requirements for agent-level programming | 1994 | 5 |
About Enrico Motta
Enrico Motta is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management, having authored 285 papers that have together received 5.0k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (198 papers), Service-Oriented Architecture and Web Services (80 papers), Biomedical Text Mining and Ontologies (46 papers), Natural Language Processing Techniques (37 papers), Topic Modeling (35 papers), Data Quality and Management (33 papers), Advanced Database Systems and Queries (30 papers) and Web Data Mining and Analysis (20 papers). The work is most often cited by research in Artificial Intelligence (3.9k citations), Information Systems (2.2k citations) and Management Science and Operations Research (616 citations). Enrico Motta has collaborated with scholars based in United Kingdom, Hong Kong and Italy. Frequent co-authors include Vanessa López, Mathieu d’Aquin, Victoria Uren, Marta Sabou, John Domingue, María Vargas-Vera, Francesco Osborne, Simon Buckingham Shum, Philipp Cimiano and Tom Heath. Their work appears in journals such as Blood, Communications of the ACM and IEEE Access.
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.