Guido Vetere
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 11
- Natural Language Processing Techniques 4
- Linguistic Studies and Language Acquisition 3
- Information Systems top 2%
- Service-Oriented Architecture and Web Services 6
-
- Advanced Database Systems and Queries 4
- Signal Processing top 10%
- Management Information Systems top 10%
-
- Biomedical Text Mining and Ontologies 2
-
- Scientific Computing and Data Management 2
-
- Model-Driven Software Engineering Techniques 1
- Co-authors
- Nicola GuarinoClaudio MasoloMaurizio LenzeriniJose Manuél Gómez-PérezHonghan WuJeff Z. PanRiccardo RosatiGiuseppe De Giacomo
- Journals
- IEEE Internet Computing (1 paper)Language Resources and Evaluation (1 paper)IBM Systems Journal (1 paper)
- Partner nations
- United StatesItalyAustria
In The Last Decade
Guido Vetere
16 papers receiving 496 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 432
- Information Systems 291
- Computer Networks and Communications 145
- Signal Processing 63
- Management Information Systems 47
Countries citing papers authored by Guido Vetere
This map shows the geographic impact of Guido Vetere'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 Guido Vetere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Vetere more than expected).
Fields of papers citing papers by Guido Vetere
This network shows the impact of papers produced by Guido Vetere. 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 Guido Vetere. The network helps show where Guido Vetere may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guido Vetere, 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 | 104 | |
| 2 | 2014 | 1 | |
| 3 | A Model-driven approach to NLP programming with UIMA. | 2013 | 2 |
| 4 | Senso Comune, an Open Knowledge Base of Italian Language | 2011 | 1 |
| 5 | Senso comune, an open knowledge base for Italian | 2011 | 3 |
| 6 | Senso Comune | 2010 | 3 |
| 7 | 2010 | 3 | |
| 8 | Information Management for Crisis Response in WORKPAD | 2009 | 3 |
| 9 | 2008 | 1 | |
| 10 | 2008 | 47 | |
| 11 | 2007 | 1 | |
| 12 | 2006 | 12 | |
| 13 | 2005 | 46 | |
| 14 | DL-Lite: Practical Reasoning for Rich Dls. | 2004 | 36 |
| 15 | OntoSeek: Using Large Linguistic Ontologies for Accessing On-Line Yellow Pages and Product Catalogs | 1999 | 14 |
| 16 | 1999 | 308 |
About Guido Vetere
Guido Vetere is a scholar working on General Arts and Humanities, Artificial Intelligence and Information Systems, having authored 16 papers that have together received 585 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (11 papers), Service-Oriented Architecture and Web Services (6 papers), Advanced Database Systems and Queries (4 papers), Natural Language Processing Techniques (4 papers), Linguistic Studies and Language Acquisition (3 papers), Biomedical Text Mining and Ontologies (2 papers), Scientific Computing and Data Management (2 papers) and Model-Driven Software Engineering Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (432 citations), Information Systems (291 citations) and Computer Networks and Communications (145 citations). Guido Vetere has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include Nicola Guarino, Claudio Masolo, Maurizio Lenzerini, Jose Manuél Gómez-Pérez, Honghan Wu, Jeff Z. Pan, Riccardo Rosati, Giuseppe De Giacomo, Diego Calvanese and Massimo Mecella. Their work appears in journals such as IEEE Internet Computing, Language Resources and Evaluation and IBM Systems Journal.
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.