Rémi Zajac

49 total papers · 502 total citations
36 papers, 320 citations indexed

About

Rémi Zajac is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Language and Linguistics. According to data from OpenAlex, Rémi Zajac has authored 36 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 5 papers in Language and Linguistics. Recurrent topics in Rémi Zajac's work include Natural Language Processing Techniques (21 papers), Semantic Web and Ontologies (11 papers) and Topic Modeling (10 papers). Rémi Zajac is often cited by papers focused on Natural Language Processing Techniques (21 papers), Semantic Web and Ontologies (11 papers) and Topic Modeling (10 papers). Rémi Zajac collaborates with scholars based in United States, Germany and France. Rémi Zajac's co-authors include Karine Megerdoomian, Xin Luna Dong, Songtao Guo, Divesh Srivastava, Sergei Nirenburg, Jim Cowie, Jean Sénellart, Ulrich Heid, Kavi Mahesh and Stefan Momma and has published in prestigious journals such as Proceedings of the VLDB Endowment, Computational Linguistics and Language Resources and Evaluation.

In The Last Decade

Rémi Zajac

31 papers receiving 242 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rémi Zajac 284 47 42 36 26 36 320
Jean‐Pierre Corriveau 229 0.8× 78 1.7× 28 0.7× 9 0.3× 14 0.5× 47 352
Osma Suominen 218 0.8× 88 1.9× 42 1.0× 9 0.3× 6 0.2× 27 265
Peter Z. Yeh 290 1.0× 104 2.2× 55 1.3× 5 0.1× 5 0.2× 39 349
Saul Gorn 101 0.4× 32 0.7× 8 0.2× 5 0.1× 90 3.5× 40 250
Chris Brink 173 0.6× 28 0.6× 25 0.6× 12 0.3× 136 5.2× 32 302
Alicia Ageno 167 0.6× 102 2.2× 15 0.4× 22 0.6× 6 0.2× 24 277
Boontawee Suntisrivaraporn 314 1.1× 104 2.2× 24 0.6× 18 0.5× 32 1.2× 32 363
Martín Pereira-Fariña 259 0.9× 16 0.3× 38 0.9× 5 0.1× 65 2.5× 30 330
Kilian Evang 312 1.1× 21 0.4× 11 0.3× 25 0.7× 4 0.2× 25 338
Mohammad Abid Khan 315 1.1× 36 0.8× 15 0.4× 8 0.2× 5 0.2× 30 335

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).

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.

Co-authorship network of co-authors of Rémi Zajac

This figure shows the co-authorship network connecting the top 25 collaborators of Rémi Zajac. A scholar is included among the top collaborators of Rémi Zajac based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rémi Zajac. Rémi Zajac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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