Nicolas Usunier

157 total papers · 11.3k total citations
34 papers, 586 citations indexed

About

Nicolas Usunier is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Nicolas Usunier has authored 34 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 4 papers in Information Systems. Recurrent topics in Nicolas Usunier's work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Machine Learning and Algorithms (5 papers). Nicolas Usunier is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Machine Learning and Algorithms (5 papers). Nicolas Usunier collaborates with scholars based in France, United States and Israel. Nicolas Usunier's co-authors include Jason Weston, Samy Bengio, Antoine Bordes, Alberto García-Durán, Massih-Reza Amini, Armand Joulin, Édouard Grave, Patrick Gallinari, Gabriel Synnaeve and Yves Grandvalet and has published in prestigious journals such as Neurocomputing, Machine Learning and Journal of Artificial Intelligence Research.

In The Last Decade

Nicolas Usunier

30 papers receiving 539 citations

Author Peers

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

Author Last Decade Papers Cites
Nicolas Usunier 409 205 134 72 44 34 586
Miao Fan 406 1.0× 185 0.9× 132 1.0× 74 1.0× 31 0.7× 35 593
Lei Zheng 385 0.9× 164 0.8× 203 1.5× 67 0.9× 21 0.5× 26 578
Martha Larson 303 0.7× 172 0.8× 249 1.9× 79 1.1× 81 1.8× 38 544
Ulrich Paquet 363 0.9× 219 1.1× 232 1.7× 75 1.0× 99 2.3× 34 659
Gordon Sun 422 1.0× 123 0.6× 300 2.2× 75 1.0× 77 1.8× 18 615
Vikram Pudi 368 0.9× 102 0.5× 269 2.0× 38 0.5× 82 1.9× 54 588
Xiaopeng Li 240 0.6× 139 0.7× 274 2.0× 49 0.7× 39 0.9× 24 512
Hao Wang 449 1.1× 110 0.5× 252 1.9× 49 0.7× 22 0.5× 48 640
Hema Raghavan 485 1.2× 95 0.5× 243 1.8× 59 0.8× 64 1.5× 27 668
Nian Li 309 0.8× 90 0.4× 258 1.9× 47 0.7× 17 0.4× 27 601

Countries citing papers authored by Nicolas Usunier

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Usunier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Usunier

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Usunier. A scholar is included among the top collaborators of Nicolas Usunier 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 Nicolas Usunier. Nicolas Usunier 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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