Yacine Jernite
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Epidemiology
- Molecular Biology
- Co-authors
- David SontagAlexander M. RushYoon KimLarry NathansonSteven HorngYoni HalpernAlexandra Sasha LuccioniNathan I. Shapiro
- Topics
- Topic Modeling (6 papers)Natural Language Processing Techniques (5 papers)Ethics and Social Impacts of AI (3 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Yacine Jernite
15 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 224
- Information Systems 123
- Epidemiology 107
- Molecular Biology 78
Countries citing papers authored by Yacine Jernite
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | Power Hungry Processing: Watts Driving the Cost of AI Deployment?breakdown → | 92 |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 21 | |
| 10 | 2 | |
| 11 | Transformers: State-of-the-Art Natural Language Processingbreakdown → | 436 |
| 12 | 25 | |
| 13 | 202 | |
| 14 | 6 | |
| 15 | Character-Aware Neural Language Modelsbreakdown → | 635 |
| 16 | A Fast Variational Approach for Learning Markov Random Field Language Models | 2 |
| 17 | Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests | 7 |
About Yacine Jernite
Yacine Jernite is a scholar working on Issues, ethics and legal aspects, Health Informatics and Health Information Management, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Ethics and Social Impacts of AI (3 papers). The work is most often cited by research in Health Informatics (57 citations), Artificial Intelligence (1.2k citations) and Family Practice (35 citations). Yacine Jernite has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include David Sontag, Alexander M. Rush, Yoon Kim, Larry Nathanson, Steven Horng, Yoni Halpern, Alexandra Sasha Luccioni, Nathan I. Shapiro, Emma Strubell and Canwen Xu. Their work appears in journals such as Nature, PLoS ONE and International Journal of Medical Informatics.
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.