David Grangier
- Artificial Intelligence top 0.2%
- Topic Modeling 21
- Natural Language Processing Techniques 21
- Speech Recognition and Synthesis 9
- Text and Document Classification Technologies 8
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- Multimodal Machine Learning Applications 8
- Advanced Image and Video Retrieval Techniques 6
- Signal Processing top 1%
- Music and Audio Processing 6
- Speech and Audio Processing 5
- Health Informatics top 10%
- Information Systems top 2%
David Grangier
39 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 3.9k
- Computer Vision and Pattern Recognition 1.8k
- Signal Processing 605
- Health Informatics 18
- Information Systems 281
Countries citing papers authored by David Grangier
This map shows the geographic impact of David Grangier'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 David Grangier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Grangier more than expected).
Fields of papers citing papers by David Grangier
This network shows the impact of papers produced by David Grangier. 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 David Grangier. The network helps show where David Grangier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Grangier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | AudioLM: A Language Modeling Approach to Audio Generationbreakdown → | 2023 | 201 |
| 3 | 2021 | 145 | |
| 4 | 2020 | 0 | |
| 5 | fairseq: A Fast, Extensible Toolkit for Sequence Modelingbreakdown → | 2019 | 1381 |
| 6 | Understanding Back-Translation at Scalebreakdown → | 2018 | 539 |
| 7 | QuaterNet: A Quaternion-based Recurrent Model for Human Motion. | 2018 | 28 |
| 8 | Convolutional Sequence to Sequence Learningbreakdown → | 2017 | 666 |
| 9 | Language modeling with gated convolutional networksbreakdown → | 2017 | 454 |
| 10 | QuickEdit: Editing Text & Translations via Simple Delete Actions. | 2017 | 5 |
| 11 | 2016 | 40 | |
| 12 | Label Embedding Trees for Large Multi-Class Tasks | 2010 | 177 |
| 13 | 2009 | 85 | |
| 14 | 2009 | 60 | |
| 15 | 2008 | 238 | |
| 16 | Discriminative Keyword Spotting | 2007 | 4 |
| 17 | A Neural Network to Retrieve Images from Text Queries | 2006 | 1 |
| 18 | Exploiting Hyperlinks to Learn a Retrieval Model | 2005 | 5 |
| 19 | 2005 | 12 | |
| 20 | Information Retrieval on Noisy Text | 2003 | 6 |
About David Grangier
David Grangier is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Media Technology, having authored 43 papers that have together received 4.7k indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Natural Language Processing Techniques (21 papers), Speech Recognition and Synthesis (9 papers), Multimodal Machine Learning Applications (8 papers), Text and Document Classification Technologies (8 papers), Music and Audio Processing (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Artificial Intelligence (3.9k citations), Computer Vision and Pattern Recognition (1.8k citations), Signal Processing (605 citations), Health Informatics (18 citations) and Information Systems (281 citations). David Grangier has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Michael Auli, Yann Dauphin, Myle Ott, Sergey Edunov, Angela Fan, Samy Bengio, Jonas Gehring, Sam Gross, Nathan Ng and Alexei Baevski. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Speech Communication, IEEE Transactions on Pattern Analysis and Machine Intelligence, Statistical Analysis and Data Mining The ASA Data Science Journal and IEEE/ACM Transactions on Audio Speech and Language Processing.
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.