Raphaël Troncy
Impact in
- Artificial Intelligence top 1%
- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Information Systems top 1%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
Papers in
-
- Semantic Web and Ontologies 53
- Natural Language Processing Techniques 34
- Topic Modeling 25
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- Video Analysis and Summarization 36
- Co-authors
- Giuseppe Rizzo (27 shared papers)Marieke van Erp (6 shared papers)Enrico Palumbo (9 shared papers)Benoît Huet (7 shared papers)Kalina Bontcheva (1 shared paper)Johann Petrak (1 shared paper)Diana Maynard (1 shared paper)Leon Derczynski (1 shared paper)
- Journals
- Journal of Web Semantics (5 papers)Semantic Web (4 papers)Multimedia Systems (4 papers)Multimedia Tools and Applications (3 papers)Language Resources and Evaluation (2 papers)
- Partner nations
- FranceItalyNetherlands
In The Last Decade
Raphaël Troncy
125 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 1.0k
- Information Systems 516
- Computer Vision and Pattern Recognition 391
- Signal Processing 173
- Management Science and Operations Research 188
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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 207 | |
| 2 | 2017 | 72 | |
| 3 | 2013 | 70 | |
| 4 | NERD: A Framework for Unifying Named Entity Recognition and Disambiguation Extraction Tools | 2012 | 63 |
| 5 | 2010 | 50 | |
| 6 | 2020 | 47 | |
| 7 | NERD: evaluating named entity recognition tools in the web of data | 2011 | 44 |
| 8 | 2019 | 38 | |
| 9 | 2018 | 36 | |
| 10 | 2011 | 33 | |
| 11 | NERD meets NIF: Lifting NLP Extraction Results to the Linked Data Cloud | 2012 | 31 |
| 12 | Benchmarking the Extraction and Disambiguation of Named Entities on the Semantic Web | 2014 | 30 |
| 13 | Adding realtime coverage to the Google knowledge graph | 2012 | 30 |
| 14 | 2011 | 30 | |
| 15 | 2018 | 26 | |
| 16 | 2012 | 23 | |
| 17 | Predicting your next stop-over from location-based social network data with recurrent neural networks | 2017 | 22 |
| 18 | Towards a linked-data based visualization wizard | 2014 | 22 |
| 19 | NERD: A framework for evaluating named entity recognition tools in the Web of data | 2011 | 21 |
| 20 | Learning with the Web: Spotting named entities on the intersection of NERD and machine learning | 2013 | 21 |
About Raphaël Troncy
Raphaël Troncy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Management Science and Operations Research, having authored 141 papers that have together received 1.5k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (53 papers), Video Analysis and Summarization (36 papers), Natural Language Processing Techniques (34 papers), Topic Modeling (25 papers), Data Quality and Management (20 papers), Music and Audio Processing (15 papers), Biomedical Text Mining and Ontologies (15 papers) and Web Data Mining and Analysis (13 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Information Systems (516 citations), Computer Vision and Pattern Recognition (391 citations), Signal Processing (173 citations) and Management Science and Operations Research (188 citations). Raphaël Troncy has collaborated with scholars based in France, Italy and Netherlands. Frequent co-authors include Giuseppe Rizzo, Marieke van Erp, Enrico Palumbo, Benoît Huet, Kalina Bontcheva, Johann Petrak, Diana Maynard, Leon Derczynski, Genevieve Gorrell and Thomas Steiner. Their work appears in journals such as Journal of Web Semantics, Semantic Web, Multimedia Systems, Multimedia Tools and Applications and Language Resources and Evaluation.
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.