Ronan Collobert

32.1k total citations · 6 hit papers
65 papers, 11.3k citations indexed

About

Ronan Collobert is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ronan Collobert has authored 65 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 17 papers in Signal Processing. Recurrent topics in Ronan Collobert's work include Natural Language Processing Techniques (21 papers), Topic Modeling (19 papers) and Speech Recognition and Synthesis (19 papers). Ronan Collobert is often cited by papers focused on Natural Language Processing Techniques (21 papers), Topic Modeling (19 papers) and Speech Recognition and Synthesis (19 papers). Ronan Collobert collaborates with scholars based in United States, Switzerland and Israel. Ronan Collobert's co-authors include Jason Weston, Yoshua Bengio, Jérôme Louradour, Samy Bengio, Pedro O. Pinheiro, Koray Kavukcuoglu, Clément Farabet, Léon Bottou, Fabian H. Sinz and Dimitri Palaz and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Neural Computation.

In The Last Decade

Ronan Collobert

63 papers receiving 10.6k citations

Hit Papers

5 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.

A unified architecture for natural language processing

2008 3.2k citations Ronan Collobert, Jason Weston profile →
Curriculum learning

2009 2.6k citations Ronan Collobert, Jason Weston et al. profile →
Torch7: A Matlab-like Environment for Machine Learning

2011 713 citations Ronan Collobert, Koray Kavukcuoglu et al. Infoscience (Ecole Polytechnique Fédérale de Lausanne) profile →
From image-level to pixel-level labeling with Convolutional Networks

2015 416 citations Pedro O. Pinheiro, Ronan Collobert Infoscience (Ecole Polytechnique Fédérale de Lausanne) profile →
Recurrent Convolutional Neural Networks for Scene Labeling

2014 363 citations Pedro O. Pinheiro, Ronan Collobert Infoscience (Ecole Polytechnique Fédérale de Lausanne) profile →
Libri-Light: A Benchmark for ASR with Limited or No Supervision

2020 278 citations Jacob Kahn, Ronan Collobert et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ronan Collobert United States	33	7.4k	4.3k	1.4k	627	535	65	11.3k
Xavier Glorot Canada	7	4.7k 0.6×	3.9k 0.9×	987 0.7×	506 0.8×	756 1.4×	7	10.3k
Diederik P. Kingma United States	13	6.0k 0.8×	5.3k 1.2×	1.4k 1.0×	374 0.6×	625 1.2×	18	12.1k
Masashi Sugiyama Japan	47	5.4k 0.7×	3.1k 0.7×	1.3k 0.9×	285 0.5×	484 0.9×	419	10.1k
Pierre-Antoine Manzagol Canada	7	3.7k 0.5×	3.1k 0.7×	1.2k 0.8×	432 0.7×	607 1.1×	9	8.1k
Raia Hadsell United States	22	5.9k 0.8×	5.8k 1.3×	883 0.6×	388 0.6×	694 1.3×	40	11.6k
Fei Wu China	49	5.0k 0.7×	4.7k 1.1×	824 0.6×	1.3k 2.1×	470 0.9×	494	11.3k
Xiaojin Zhu United States	43	8.0k 1.1×	4.1k 0.9×	1.2k 0.9×	1.3k 2.1×	395 0.7×	151	12.6k
Ivor W. Tsang Singapore	54	7.3k 1.0×	6.8k 1.6×	780 0.6×	555 0.9×	436 0.8×	280	12.1k
Cho‐Jui Hsieh United States	40	6.3k 0.9×	3.6k 0.8×	1.1k 0.8×	1.2k 2.0×	414 0.8×	169	10.4k
Jianchang Mao United States	19	3.7k 0.5×	3.2k 0.7×	1.1k 0.8×	779 1.2×	809 1.5×	43	9.9k

Countries citing papers authored by Ronan Collobert

Since Specialization

Citations

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

Fields of papers citing papers by Ronan Collobert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronan Collobert

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

20 of 20 papers shown

Collobert, Ronan, et al.. (2023). More Speaking or More Speakers?. 34. 1–5. 1 indexed citations

Pratap, Vineel, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, & Ronan Collobert. (2022). Word Order does not Matter for Speech Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7202–7206. 3 indexed citations

Pratap, Vineel, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, & Ronan Collobert. (2020). MLS: A Large-Scale Multilingual Dataset for Speech Research. arXiv (Cornell University). 2757–2761. 171 indexed citations

Xu, Qiantong, Tatiana Likhomanenko, Jacob Kahn, et al.. (2020). Iterative Pseudo-Labeling for Speech Recognition. 1006–1010. 63 indexed citations

Collobert, Ronan, Awni Hannun, & Gabriel Synnaeve. (2019). A fully differentiable beam search decoder. International Conference on Machine Learning. 1341–1350. 4 indexed citations

Palaz, Dimitri, Mathew Magimai.-Doss, & Ronan Collobert. (2015). Analysis of CNN-based speech recognition system using raw speech as input. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 11–15. 157 indexed citations

Palaz, Dimitri, Mathew Magimai.-Doss, & Ronan Collobert. (2015). Learning linearly separable features for speech recognition using convolutional neural networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2 indexed citations

Collobert, Ronan, et al.. (2015). Learning to Segments Objects Candidates. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4 indexed citations

Pinheiro, Pedro O. & Ronan Collobert. (2015). From image-level to pixel-level labeling with Convolutional Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1713–1721. 416 indexed citations breakdown →

10.

Collobert, Ronan, et al.. (2014). Weakly Supervised Semantic Segmentation with Convolutional Networks.. arXiv (Cornell University). 25 indexed citations

11.

Pinheiro, Pedro O. & Ronan Collobert. (2014). Recurrent Convolutional Neural Networks for Scene Labeling. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 82–90. 363 indexed citations breakdown →

12.

Lebret, Rémi & Ronan Collobert. (2014). Word Embeddings through Hellinger PCA. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 482–490. 128 indexed citations

13.

Yazdani, Majid, Ronan Collobert, & Andréi Popescu-Belis. (2013). Learning to Rank on Network Data. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4 indexed citations

14.

Collobert, Ronan. (2011). Deep Learning for Efficient Discriminative Parsing. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 224–232. 101 indexed citations

15.

Collobert, Ronan, Koray Kavukcuoglu, & Clément Farabet. (2011). Torch7: A Matlab-like Environment for Machine Learning. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 713 indexed citations breakdown →

16.

Weston, Jason, et al.. (2009). Large Scale Application of Neural Network Based Semantic Role Labeling for Automated Relation Extraction from Biomedical Texts. PLoS ONE. 4(7). e6393–e6393. 41 indexed citations

17.

Collobert, Ronan & Jason Weston. (2007). Fast Semantic Extraction Using a Novel Neural Network Architecture. Meeting of the Association for Computational Linguistics. 560–567. 41 indexed citations

18.

Collobert, Ronan, Fabian H. Sinz, Jason Weston, & Léon Bottou. (2006). Trading convexity for scalability. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 201–208. 254 indexed citations

19.

Collobert, Ronan, Fabian H. Sinz, Jason Weston, & Léon Bottou. (2006). Large Scale Transductive SVMs. Journal of Machine Learning Research. 7(62). 1687–1712. 355 indexed citations

20.

Weston, Jason, Ronan Collobert, Fabian H. Sinz, Léon Bottou, & Vladimir Vapnik. (2006). Inference with the Universum. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 1009–1016. 141 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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