Rémi Zajac

13 papers and 89 indexed citations i.

About

Rémi Zajac is a scholar working on Artificial Intelligence, Language and Linguistics and Signal Processing. According to data from OpenAlex, Rémi Zajac has authored 13 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Language and Linguistics and 3 papers in Signal Processing. Recurrent topics in Rémi Zajac’s work include Natural Language Processing Techniques (6 papers), Semantic Web and Ontologies (6 papers) and Topic Modeling (3 papers). Rémi Zajac is often cited by papers focused on Natural Language Processing Techniques (6 papers), Semantic Web and Ontologies (6 papers) and Topic Modeling (3 papers). Rémi Zajac collaborates with scholars based in United States and Germany. Rémi Zajac's co-authors include Divesh Srivastava, Songtao Guo, Xin Luna Dong, Tomasz Janowski, Sergei Nirenburg, Stefan Momma, Jim Cowie, Michelle Vanni, Ulrich Heid and Stephen Beale and has published in prestigious journals such as Proceedings of the VLDB Endowment, Computational Linguistics and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Rémi Zajac i

Fields of papers citing papers by Rémi Zajac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rémi Zajac. 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 Rémi Zajac. The network helps show where Rémi Zajac may publish in the future.

Countries citing papers authored by Rémi Zajac

Since Specialization
Citations

This map shows the geographic impact of Rémi Zajac'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 Rémi Zajac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rémi Zajac 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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