Raphaël Troncy

74 papers and 674 indexed citations i.

About

Raphaël Troncy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Raphaël Troncy has authored 74 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 18 papers in Signal Processing. Recurrent topics in Raphaël Troncy’s work include Video Analysis and Summarization (21 papers), Semantic Web and Ontologies (19 papers) and Natural Language Processing Techniques (15 papers). Raphaël Troncy is often cited by papers focused on Video Analysis and Summarization (21 papers), Semantic Web and Ontologies (19 papers) and Natural Language Processing Techniques (15 papers). Raphaël Troncy collaborates with scholars based in France, Italy and United Kingdom. Raphaël Troncy's co-authors include Giuseppe Rizzo, Marieke van Erp, Johann Petrak, Leon Derczynski, Genevieve Gorrell, Diana Maynard, Kalina Bontcheva, Benoît Huet, Nicholas Evans and Simon King and has published in prestigious journals such as Expert Systems with Applications, The American Historical Review and Sustainability.

In The Last Decade

Co-authorship network of co-authors of Raphaël Troncy i

Fields of papers citing papers by Raphaël Troncy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Raphaël Troncy

Since Specialization
Citations

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).

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.

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