Diego Ceccarelli
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
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- Data Quality and Management
Papers in
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- Topic Modeling 9
- Natural Language Processing Techniques 5
- Advanced Graph Neural Networks 4
- Semantic Web and Ontologies 3
- Advanced Text Analysis Techniques 2
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- Recommender Systems and Techniques 3
- Web Data Mining and Analysis 3
- Co-authors
- Raffaele Perego (11 shared papers)Claudio Lucchese (12 shared papers)Salvatore Orlando (9 shared papers)Giovanni Tummarello (1 shared paper)Renaud Delbru (1 shared paper)Fabrizio Silvestri (2 shared papers)Miles Osborne (1 shared paper)Roi Blanco (1 shared paper)
- Journals
- ACM SIGIR Forum (1 paper)Computational Intelligence (1 paper)ERCIM news/ERCIM news online edition (1 paper)ISTI Open Portal (7 papers)CINECA IRIS Institutial research information system (University of Pisa) (3 papers)
- Partner nations
- ItalySpainUnited Kingdom
In The Last Decade
Diego Ceccarelli
15 papers receiving 191 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 169
- Management Science and Operations Research 47
- Information Systems 69
- Communication 13
- Signal Processing 18
Countries citing papers authored by Diego Ceccarelli
This map shows the geographic impact of Diego Ceccarelli'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 Diego Ceccarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Ceccarelli more than expected).
Fields of papers citing papers by Diego Ceccarelli
This network shows the impact of papers produced by Diego Ceccarelli. 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 Diego Ceccarelli. The network helps show where Diego Ceccarelli may publish in the future.
Co-authors
The 20 scholars most cited alongside Diego Ceccarelli, 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 | 2013 | 46 | |
| 2 | 2012 | 42 | |
| 3 | 2013 | 38 | |
| 4 | 2017 | 17 | |
| 5 | 2011 | 16 | |
| 6 | 2012 | 15 | |
| 7 | 2016 | 8 | |
| 8 | Dexter 2.0: an open source tool for semantically enriching data | 2014 | 7 |
| 9 | 2017 | 6 | |
| 10 | 2021 | 4 | |
| 11 | 2016 | 3 | |
| 12 | 2014 | 2 | |
| 13 | 2013 | 2 | |
| 14 | Discovering Europeana users’ search behavior | 2011 | 1 |
| 15 | 2013 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2014 | 0 |
About Diego Ceccarelli
Diego Ceccarelli is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science, having authored 17 papers that have together received 209 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers), Advanced Graph Neural Networks (4 papers), Semantic Web and Ontologies (3 papers), Recommender Systems and Techniques (3 papers), Web Data Mining and Analysis (3 papers), Complex Network Analysis Techniques (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (169 citations), Management Science and Operations Research (47 citations), Information Systems (69 citations), Communication (13 citations) and Signal Processing (18 citations). Diego Ceccarelli has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Raffaele Perego, Claudio Lucchese, Salvatore Orlando, Giovanni Tummarello, Renaud Delbru, Fabrizio Silvestri, Miles Osborne, Roi Blanco, Leif Azzopardi and Juan M. Fernández‐Luna. Their work appears in journals such as ACM SIGIR Forum, Computational Intelligence, ERCIM news/ERCIM news online edition, ISTI Open Portal and CINECA IRIS Institutial research information system (University of Pisa).
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.