Raphaël Marinier

1.2k total citations · 1 hit paper
7 papers, 319 citations indexed

About

Raphaël Marinier is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Raphaël Marinier has authored 7 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Raphaël Marinier's work include Speech Recognition and Synthesis (2 papers), Reinforcement Learning in Robotics (2 papers) and Speech and Audio Processing (1 paper). Raphaël Marinier is often cited by papers focused on Speech Recognition and Synthesis (2 papers), Reinforcement Learning in Robotics (2 papers) and Speech and Audio Processing (1 paper). Raphaël Marinier collaborates with scholars based in United States, Switzerland and Austria. Raphaël Marinier's co-authors include Damien Vincent, Olivier Pietquin, Eugene Kharitonov, Zalán Borsos, Neil Zeghidour, Matt Sharifi, Marco Tagliasacchi, Olivier Teboul, David Grangier and Dominik Roblek and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Transactions of the Association for Computational Linguistics and International journal of network security.

In The Last Decade

Raphaël Marinier

6 papers receiving 304 citations

Hit Papers

align trajectories

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.

AudioLM: A Language Modeling Approach to Audio Generation

2023 201 citations Zalán Borsos, Raphaël Marinier et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raphaël Marinier United States	5	203	122	84	21	17	7	319
Matt Sharifi United States	4	179 0.9×	154 1.3×	83 1.0×	11 0.5×	13 0.8×	4	298
Zalán Borsos Switzerland	6	220 1.1×	145 1.2×	71 0.8×	10 0.5×	12 0.7×	10	317
Neil Zeghidour United States	8	237 1.2×	177 1.5×	77 0.9×	12 0.6×	12 0.7×	17	377
Khawar Mehmood Pakistan	5	225 1.1×	65 0.5×	35 0.4×	11 0.5×	10 0.6×	8	294
M. A. Anusuya India	6	214 1.1×	179 1.5×	39 0.5×	12 0.6×	15 0.9×	22	299
Dominik Roblek United States	6	221 1.1×	239 2.0×	122 1.5×	14 0.7×	33 1.9×	10	399
Bartosz Ziółko Poland	10	128 0.6×	118 1.0×	65 0.8×	15 0.7×	4 0.2×	59	259
Beat Pfister Switzerland	8	194 1.0×	148 1.2×	59 0.7×	5 0.2×	10 0.6×	33	293
Matt Hoffman United States	7	119 0.6×	134 1.1×	114 1.4×	8 0.4×	57 3.4×	13	263

Countries citing papers authored by Raphaël Marinier

Since Specialization

Citations

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

Fields of papers citing papers by Raphaël Marinier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphaël Marinier

This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël Marinier. A scholar is included among the top collaborators of Raphaël Marinier 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 Raphaël Marinier. Raphaël Marinier 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:

7 of 7 papers shown

1.

Borsos, Zalán, Raphaël Marinier, Damien Vincent, et al.. (2023). AudioLM: A Language Modeling Approach to Audio Generation. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2523–2533. 201 indexed citations breakdown →

2.

Kharitonov, Eugene, Damien Vincent, Zalán Borsos, et al.. (2023). Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision. Transactions of the Association for Computational Linguistics. 11. 1703–1718. 54 indexed citations

3.

Andrychowicz, Marcin, Anton Raichuk, Piotr Stańczyk, et al.. (2021). What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study. International Conference on Learning Representations. 26 indexed citations

4.

Hussenot, Léonard, Marcin Andrychowicz, Damien Vincent, et al.. (2021). Hyperparameter Selection for Imitation Learning. arXiv (Cornell University). 4511–4522.

5.

Unterthiner, Thomas, Sjoerd van Steenkiste, Karol Kurach, et al.. (2019). FVD: A new Metric for Video Generation. International Conference on Learning Representations. 27 indexed citations

6.

Savinov, Nikolay, Anton Raichuk, Raphaël Marinier, et al.. (2018). Episodic Curiosity through Reachability. arXiv (Cornell University). 10 indexed citations

7.

Marinier, Raphaël, et al.. (2009). An Adaptive Chosen-plaintext Attack of the Improved Cellular Message Encryption Algorithm. International journal of network security. 9. 173–179. 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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