Yacine Jernite

68 total papers · 13.6k total citations
17 papers, 1.4k citations indexed

About

Yacine Jernite is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Safety Research. According to data from OpenAlex, Yacine Jernite has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Safety Research. Recurrent topics in Yacine Jernite's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Ethics and Social Impacts of AI (3 papers). Yacine Jernite is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Ethics and Social Impacts of AI (3 papers). Yacine Jernite collaborates with scholars based in United States, United Kingdom and Israel. Yacine Jernite's co-authors include David Sontag, Alexander M. Rush, Yoon Kim, Larry Nathanson, Yoni Halpern, Steven Horng, Nathan I. Shapiro, Alexandra Sasha Luccioni, Emma Strubell and Victor Sanh and has published in prestigious journals such as Nature, PLoS ONE and International Journal of Medical Informatics.

In The Last Decade

Yacine Jernite

15 papers receiving 1.4k citations

Hit Papers

Character-Aware Neural La... 2016 2026 2019 2022 2016 2020 2024 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Yacine Jernite 1.1k 223 121 105 78 17 1.4k
Zhicheng Cui 788 0.7× 270 1.2× 150 1.2× 28 0.3× 123 1.6× 13 1.2k
Xu Wang 548 0.5× 82 0.4× 163 1.3× 62 0.6× 55 0.7× 21 1.1k
Paul Koch 652 0.6× 195 0.9× 91 0.8× 41 0.4× 36 0.5× 20 1.3k
Jason Wei 1.1k 1.0× 201 0.9× 171 1.4× 24 0.2× 57 0.7× 15 1.4k
Robert L. Logan 735 0.6× 223 1.0× 122 1.0× 45 0.4× 55 0.7× 28 1.4k
Mohammed Ali Al-Garadi 737 0.6× 202 0.9× 165 1.4× 88 0.8× 70 0.9× 45 1.4k
Jie Yang 1.1k 1.0× 122 0.5× 137 1.1× 81 0.8× 163 2.1× 71 1.6k
Kevin Small 523 0.5× 76 0.3× 121 1.0× 56 0.5× 128 1.6× 34 1.1k
Sebastian Gehrmann 1.1k 0.9× 266 1.2× 103 0.9× 20 0.2× 113 1.4× 41 1.4k
Yuexin Wu 791 0.7× 259 1.2× 225 1.9× 41 0.4× 54 0.7× 59 1.2k

Countries citing papers authored by Yacine Jernite

Since Specialization
Citations

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

Fields of papers citing papers by Yacine Jernite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yacine Jernite

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