Ludovic Denoyer

4.5k total citations · 1 hit paper
34 papers, 1.1k citations indexed

About

Ludovic Denoyer is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ludovic Denoyer has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 8 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ludovic Denoyer's work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Complex Network Analysis Techniques (5 papers). Ludovic Denoyer is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Complex Network Analysis Techniques (5 papers). Ludovic Denoyer collaborates with scholars based in France, Israel and China. Ludovic Denoyer's co-authors include Guillaume Lample, Marc’Aurelio Ranzato, Alexis Conneau, Patrick Gallinari, Hervé Jeǵou, Myle Ott, Sandeep Subramanian, Eric M. Smith, Y-Lan Boureau and Alexandre Denoyer and has published in prestigious journals such as Machine Learning, British Journal of Ophthalmology and Journal of Cataract & Refractive Surgery.

In The Last Decade

Ludovic Denoyer

31 papers receiving 969 citations

Hit Papers

Word translation without parallel data 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ludovic Denoyer France 15 853 263 110 84 78 34 1.1k
Rong Yan United States 17 698 0.8× 903 3.4× 109 1.0× 125 1.5× 21 0.3× 45 1.4k
Yujun Zhang China 16 258 0.3× 201 0.8× 114 1.0× 20 0.2× 217 2.8× 79 784
Malik Muhammad Saad Missen Pakistan 14 213 0.2× 200 0.8× 73 0.7× 15 0.2× 98 1.3× 54 624
Hyuk-Yoon Kwon South Korea 8 177 0.2× 163 0.6× 78 0.7× 42 0.5× 99 1.3× 50 451
Aliaa A. A. Youssif Egypt 13 130 0.2× 450 1.7× 42 0.4× 59 0.7× 360 4.6× 62 810
Souad Larabi-Marie-Sainte Saudi Arabia 12 451 0.5× 123 0.5× 107 1.0× 26 0.3× 85 1.1× 38 797
Shen Ge China 15 673 0.8× 374 1.4× 70 0.6× 192 2.3× 153 2.0× 26 974
Haiping Zhou China 11 224 0.3× 41 0.2× 128 1.2× 101 1.2× 37 0.5× 21 608
Baogang Wei China 16 363 0.4× 200 0.8× 186 1.7× 38 0.5× 12 0.2× 74 754
Yun-Nung Chen Taiwan 22 1.4k 1.7× 261 1.0× 130 1.2× 56 0.7× 17 0.2× 93 1.6k

Countries citing papers authored by Ludovic Denoyer

Since Specialization
Citations

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

Fields of papers citing papers by Ludovic Denoyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ludovic Denoyer

This figure shows the co-authorship network connecting the top 25 collaborators of Ludovic Denoyer. A scholar is included among the top collaborators of Ludovic Denoyer 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 Ludovic Denoyer. Ludovic Denoyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Denoyer, Ludovic, et al.. (2022). Interactive Query Clarification and Refinement via User Simulation. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2420–2425. 8 indexed citations
2.
Denoyer, Ludovic, et al.. (2022). Regularized Soft Actor-Critic for Behavior Transfer Learning. 516–519. 1 indexed citations
3.
Lamprier, Sylvain, et al.. (2021). Deep dynamic neural networks for temporal language modeling in author communities. Knowledge and Information Systems. 63(3). 733–757. 1 indexed citations
4.
Gisselbrecht, Thibault, et al.. (2021). WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media. Proceedings of the International AAAI Conference on Web and Social Media. 9(1). 130–139. 2 indexed citations
6.
Denoyer, Ludovic, et al.. (2019). Spatio-temporal neural networks for space-time data modeling and relation discovery. Knowledge and Information Systems. 61(3). 1241–1267. 16 indexed citations
7.
Lample, Guillaume, Alexandre Sablayrolles, Marc’Aurelio Ranzato, Ludovic Denoyer, & Hervé Jeǵou. (2019). Large Memory Layers with Product Keys. HAL (Le Centre pour la Communication Scientifique Directe). 32. 8548–8559. 15 indexed citations
8.
Lample, Guillaume, Sandeep Subramanian, Eric M. Smith, et al.. (2018). Multiple-Attribute Text Rewriting.. International Conference on Learning Representations. 101 indexed citations
9.
Lample, Guillaume, Alexis Conneau, Marc’Aurelio Ranzato, Ludovic Denoyer, & Hervé Jeǵou. (2018). Word translation without parallel data. International Conference on Learning Representations. 306 indexed citations breakdown →
10.
Denoyer, Ludovic, et al.. (2018). Stochastic Adaptive Neural Architecture Search for Keyword Spotting. arXiv (Cornell University). 16 indexed citations
11.
Lample, Guillaume, Myle Ott, Alexis Conneau, Ludovic Denoyer, & Marc’Aurelio Ranzato. (2018). Phrase-Based & Neural Unsupervised Machine Translation. 5039–5049. 252 indexed citations
12.
Artières, Thierry, et al.. (2018). Adversarial learning for modeling human motion. The Visual Computer. 36(1). 141–160. 11 indexed citations
13.
Contardo, Gabriella, Ludovic Denoyer, & Thierry Artières. (2017). A Meta-Learning Approach to One-Step Active Learning. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
14.
Denoyer, Ludovic, et al.. (2017). Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. arXiv (Cornell University). 705–714. 36 indexed citations
15.
Gao, Sheng, Ludovic Denoyer, & Patrick Gallinari. (2010). Tensor decomposition model for link prediction in multi-relational networks. HAL (Le Centre pour la Communication Scientifique Directe). 298–302.
16.
Denoyer, Ludovic & Patrick Gallinari. (2010). A Ranking Based Model for Automatic Image Annotation in a Social Network. Proceedings of the International AAAI Conference on Web and Social Media. 4(1). 231–234. 8 indexed citations
17.
Denoyer, Alexandre, et al.. (2009). Comparative study of aspheric intraocular lenses with negative spherical aberration or no aberration. Journal of Cataract & Refractive Surgery. 35(3). 496–503. 27 indexed citations
18.
Denoyer, Alexandre, et al.. (2008). Intraindividual comparative study of corneal and ocular wavefront aberrations after biaxial microincision versus coaxial small-incision cataract surgery. British Journal of Ophthalmology. 92(12). 1679–1684. 53 indexed citations
19.
Denoyer, Ludovic & Patrick Gallinari. (2007). Report on the XML mining track at INEX 2005 and INEX 2006. ACM SIGIR Forum. 41(1). 79–90. 35 indexed citations
20.
Denoyer, Ludovic & Patrick Gallinari. (2004). Un modèle de mixture de modèles génératifs pour les documents structurés multimédias. Cairn.info. 8(3). 35–54. 1 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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