Yacine Jernite

13.4k total citations · 3 hit papers
17 papers, 1.5k 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 1.5k 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, Yoni Halpern, Larry Nathanson, Steven Horng, Alexandra Sasha Luccioni, Nathan I. Shapiro, Emma Strubell and Thomas Wolf 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

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Character-Aware Neural Language Models

2016 635 citations Yoon Kim, Yacine Jernite et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
Transformers: State-of-the-Art Natural Language Processing

2020 436 citations Thomas Wolf, Lysandre Debut et al. Zenodo (CERN European Organization for Nuclear Research) profile →
Power Hungry Processing: Watts Driving the Cost of AI Deployment?

2024 92 citations Alexandra Sasha Luccioni, Yacine Jernite et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yacine Jernite United States	8	1.2k	224	123	107	78	17	1.5k
Mohammed Ali Al-Garadi United States	17	750 0.7×	207 0.9×	167 1.4×	89 0.8×	70 0.9×	45	1.4k
Yuexin Wu China	14	797 0.7×	262 1.2×	225 1.8×	41 0.4×	54 0.7×	59	1.2k
Liang Yao China	18	1.4k 1.2×	243 1.1×	275 2.2×	45 0.4×	233 3.0×	36	1.9k
Sebastian Gehrmann United States	14	1.1k 0.9×	265 1.2×	105 0.9×	20 0.2×	113 1.4×	41	1.4k
Franck Dernoncourt United States	20	951 0.8×	183 0.8×	102 0.8×	34 0.3×	122 1.6×	102	1.4k
Anna Rumshisky United States	23	1.5k 1.3×	152 0.7×	96 0.8×	69 0.6×	520 6.7×	71	1.7k
Kevin Small United States	17	526 0.5×	77 0.3×	122 1.0×	57 0.5×	128 1.6×	34	1.1k
Jason Fries United States	16	874 0.8×	104 0.5×	113 0.9×	79 0.7×	156 2.0×	41	1.4k
Richard A. Bauder United States	18	1.0k 0.9×	87 0.4×	128 1.0×	69 0.6×	24 0.3×	31	1.4k

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

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Kuo, Tzu-Sheng, Mikhail Yurochkin, Atoosa Kasirzadeh, et al.. (2025). The future of open human feedback. Nature Machine Intelligence. 7(6). 825–835.

Luccioni, Alexandra Sasha, Yacine Jernite, & Emma Strubell. (2024). Power Hungry Processing: Watts Driving the Cost of AI Deployment?. 85–99. 92 indexed citations breakdown →

Jernite, Yacine, et al.. (2024). CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 1132–1144. 3 indexed citations

Luccioni, Alexandra Sasha, et al.. (2024). Light bulbs have energy ratings — so why can’t AI chatbots?. Nature. 632(8026). 736–738. 10 indexed citations

Li, Hanlin, et al.. (2023). Can Licensing Mitigate the Negative Implications of Commercial Web Scraping?. 553–555. 1 indexed citations

Jernite, Yacine, et al.. (2023). Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML. arXiv (Cornell University). 343–354. 7 indexed citations

Piktus, Aleksandra, et al.. (2023). The ROOTS Search Tool: Data Transparency for LLMs. IRIS Research product catalog (Sapienza University of Rome). 304–314. 10 indexed citations

Jernite, Yacine, Huu Du Nguyen, Stella Biderman, et al.. (2022). Data Governance in the Age of Large-Scale Data-Driven Language Technology. arXiv (Cornell University). 2206–2222. 21 indexed citations

McMillan-Major, Angelina, Amandalynne Paullada, & Yacine Jernite. (2022). An Interactive Exploratory Tool for the Task of Hate Speech Detection. 11–20.

10.

Jernite, Yacine, et al.. (2020). CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant. 4693–4714. 2 indexed citations

11.

Wolf, Thomas, Lysandre Debut, Victor Sanh, et al.. (2020). Transformers: State-of-the-Art Natural Language Processing. Zenodo (CERN European Organization for Nuclear Research). 436 indexed citations breakdown →

12.

Greenbaum, Nathaniel R., Yacine Jernite, Yoni Halpern, et al.. (2019). Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces. International Journal of Medical Informatics. 132. 103981–103981. 25 indexed citations

13.

Horng, Steven, David Sontag, Yoni Halpern, et al.. (2017). Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning. PLoS ONE. 12(4). e0174708–e0174708. 202 indexed citations

14.

Jernite, Yacine, Anna Choromanska, & David Sontag. (2016). Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation. arXiv (Cornell University). 1665–1674. 6 indexed citations

15.

Kim, Yoon, Yacine Jernite, David Sontag, & Alexander M. Rush. (2016). Character-Aware Neural Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 635 indexed citations breakdown →

16.

Jernite, Yacine, Alexander M. Rush, & David Sontag. (2015). A Fast Variational Approach for Learning Markov Random Field Language Models. 2209–2216. 2 indexed citations

17.

Jernite, Yacine, et al.. (2013). Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests. Neural Information Processing Systems. 26. 2355–2363. 7 indexed citations

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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