Raphaël Troncy
Impact in
- Artificial Intelligence top 0.5%
- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Information Systems top 1%
- Recommender Systems and Techniques
Papers in
-
- Semantic Web and Ontologies 80
- Natural Language Processing Techniques 47
- Topic Modeling 38
-
- Web Data Mining and Analysis 18
- Service-Oriented Architecture and Web Services 17
- Co-authors
- Giuseppe Rizzo (39 shared papers)Lynda Hardman (10 shared papers)Enrico Palumbo (11 shared papers)Ryan Shaw (2 shared papers)Marieke van Erp (9 shared papers)Steffen Staab (7 shared papers)Richard Arndt (5 shared papers)Antoine Isaac (2 shared papers)
- Journals
- Journal of Web Semantics (5 papers)Lecture notes in computer science (37 papers)Multimedia Systems (4 papers)Semantic Web (4 papers)Multimedia Tools and Applications (3 papers)
- Partner nations
- FranceItalyNetherlands
In The Last Decade
Raphaël Troncy
180 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 2.0k
- Information Systems 951
- Computer Vision and Pattern Recognition 784
- Signal Processing 332
- Management Science and Operations Research 343
Countries citing papers authored by Raphaël Troncy
This map shows the geographic impact of Raphaël Troncy'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 Raphaël Troncy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Troncy more than expected).
Fields of papers citing papers by Raphaël Troncy
This network shows the impact of papers produced by Raphaël Troncy. 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 Raphaël Troncy. The network helps show where Raphaël Troncy may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Troncy, 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 194 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 247 | |
| 2 | 2009 | 173 | |
| 3 | 2007 | 157 | |
| 4 | 2017 | 95 | |
| 5 | 2013 | 90 | |
| 6 | NERD: A Framework for Unifying Named Entity Recognition and Disambiguation Extraction Tools | 2012 | 86 |
| 7 | 2002 | 85 | |
| 8 | 2008 | 71 | |
| 9 | 2010 | 60 | |
| 10 | NERD: evaluating named entity recognition tools in the web of data | 2011 | 59 |
| 11 | 2018 | 56 | |
| 12 | 2020 | 50 | |
| 13 | 2003 | 47 | |
| 14 | NERD meets NIF: Lifting NLP Extraction Results to the Linked Data Cloud | 2012 | 46 |
| 15 | 2011 | 42 | |
| 16 | 2014 | 41 | |
| 17 | 2018 | 39 | |
| 18 | 2019 | 39 | |
| 19 | 2011 | 37 | |
| 20 | Adding realtime coverage to the Google knowledge graph | 2012 | 36 |
About Raphaël Troncy
Raphaël Troncy is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Management Science and Operations Research, having authored 194 papers that have together received 2.9k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (80 papers), Natural Language Processing Techniques (47 papers), Video Analysis and Summarization (47 papers), Topic Modeling (38 papers), Data Quality and Management (29 papers), Biomedical Text Mining and Ontologies (24 papers), Web Data Mining and Analysis (18 papers) and Service-Oriented Architecture and Web Services (17 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Information Systems (951 citations), Computer Vision and Pattern Recognition (784 citations), Signal Processing (332 citations) and Management Science and Operations Research (343 citations). Raphaël Troncy has collaborated with scholars based in France, Italy and Netherlands. Frequent co-authors include Giuseppe Rizzo, Lynda Hardman, Enrico Palumbo, Ryan Shaw, Marieke van Erp, Steffen Staab, Richard Arndt, Antoine Isaac, Benoît Huet and Umberto Straccia. Their work appears in journals such as Journal of Web Semantics, Lecture notes in computer science, Multimedia Systems, Semantic Web and Multimedia Tools and Applications.
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.