Alexis Conneau

12.1k total citations · 4 hit papers
19 papers, 3.1k citations indexed

About

Alexis Conneau is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alexis Conneau has authored 19 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alexis Conneau's work include Natural Language Processing Techniques (17 papers), Topic Modeling (16 papers) and Speech Recognition and Synthesis (10 papers). Alexis Conneau is often cited by papers focused on Natural Language Processing Techniques (17 papers), Topic Modeling (16 papers) and Speech Recognition and Synthesis (10 papers). Alexis Conneau collaborates with scholars based in Israel, United States and France. Alexis Conneau's co-authors include Holger Schwenk, Douwe Kiela, Guillaume Lample, Antoine Bordes, Loïc Barrault, Ludovic Denoyer, Marc’Aurelio Ranzato, Veselin Stoyanov, Ruty Rinott and Adina Williams and has published in prestigious journals such as Language Resources and Evaluation, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Alexis Conneau

19 papers receiving 2.8k 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.

Supervised Learning of Universal Sentence Representations from Natural\n Language Inference Data

2017 1.0k citations Alexis Conneau, Douwe Kiela et al. arXiv (Cornell University) profile →
XNLI: Evaluating Cross-lingual Sentence Representations

2018 499 citations Alexis Conneau, Ruty Rinott et al. profile →
Word translation without parallel data

2018 306 citations Guillaume Lample, Alexis Conneau et al. International Conference on Learning Representations profile →
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

2022 266 citations Arun Babu, Changhan Wang et al. Interspeech 2022 profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexis Conneau Israel	15	2.9k	695	270	259	85	19	3.1k
Jason Baldridge United States	30	2.2k 0.8×	842 1.2×	269 1.0×	200 0.8×	84 1.0×	89	3.0k
Kenneth Heafield United Kingdom	22	2.5k 0.9×	550 0.8×	311 1.2×	131 0.5×	162 1.9×	56	2.8k
Kevin Gimpel United States	22	2.4k 0.8×	395 0.6×	302 1.1×	121 0.5×	158 1.9×	81	2.8k
Julian Michael United States	11	3.1k 1.1×	1.0k 1.4×	269 1.0×	80 0.3×	118 1.4×	17	3.5k
Benjamin Van Durme United States	33	3.7k 1.3×	620 0.9×	569 2.1×	205 0.8×	149 1.8×	186	4.1k
Sergey Edunov United States	8	2.6k 0.9×	1.0k 1.5×	260 1.0×	227 0.9×	90 1.1×	11	3.0k
Satanjeev Banerjee United States	12	2.5k 0.9×	1.1k 1.6×	342 1.3×	114 0.4×	167 2.0×	23	3.2k
Noah Constant United States	14	2.1k 0.7×	451 0.6×	275 1.0×	80 0.3×	67 0.8×	22	2.5k
Samuel R. Bowman United States	16	3.2k 1.1×	893 1.3×	267 1.0×	64 0.2×	112 1.3×	40	3.4k
Daniel Cer United States	26	3.6k 1.3×	641 0.9×	398 1.5×	98 0.4×	225 2.6×	42	4.0k

Countries citing papers authored by Alexis Conneau

Since Specialization

Citations

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

Fields of papers citing papers by Alexis Conneau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexis Conneau

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

19 of 19 papers shown

Chou, Ju-Chieh, Wei-Ning Hsu, Karen Livescu, et al.. (2023). Toward Joint Language Modeling for Speech Units and Text. 6582–6593. 3 indexed citations

Conneau, Alexis, Min Ma, Simran Khanuja, et al.. (2023). FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech. 798–805. 73 indexed citations

Babu, Arun, Changhan Wang, Andros Tjandra, et al.. (2022). XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale. Interspeech 2022. 2278–2282. 266 indexed citations breakdown →

Ye, Jia, et al.. (2022). Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation. Interspeech 2022. 1721–1725. 11 indexed citations

Tjandra, Andros, Frank Zhang, Kritika Singh, et al.. (2022). Improved Language Identification Through Cross-Lingual Self-Supervised Learning. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6877–6881. 25 indexed citations

Conneau, Alexis, Ankur Bapna, Yu Zhang, et al.. (2022). XTREME-S: Evaluating Cross-lingual Speech Representations. Interspeech 2022. 3248–3252. 10 indexed citations

Du, Jingfei, Édouard Grave, Beliz Gunel, et al.. (2021). Self-training Improves Pre-training for Natural Language Understanding. 5408–5418. 75 indexed citations

Li, Xian, Changhan Wang, Yun Tang, et al.. (2021). Multilingual Speech Translation from Efficient Finetuning of Pretrained Models. 827–838. 76 indexed citations

Xu, Qiantong, Alexei Baevski, Tatiana Likhomanenko, et al.. (2021). Self-Training and Pre-Training are Complementary for Speech Recognition. 3030–3034. 83 indexed citations

10.

Wang, Changhan, Anne Wu, Juan Pino, et al.. (2021). Large-Scale Self- and Semi-Supervised Learning for Speech Translation. 2242–2246. 12 indexed citations

11.

Conneau, Alexis, Shijie Wu, Haoran Li, Luke Zettlemoyer, & Veselin Stoyanov. (2020). Emerging Cross-lingual Structure in Pretrained Language Models. 6022–6034. 107 indexed citations

12.

Conneau, Alexis & Guillaume Lample. (2019). Cross-lingual Language Model Pretraining. Neural Information Processing Systems. 32. 7057–7067. 94 indexed citations

13.

Wenzek, Guillaume, Marie-Anne Lachaux, Alexis Conneau, et al.. (2019). CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. Language Resources and Evaluation. 4003–4012. 41 indexed citations

14.

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 →

15.

Conneau, Alexis & Douwe Kiela. (2018). SentEval: An Evaluation Toolkit for Universal Sentence Representations. arXiv (Cornell University). 87 indexed citations

16.

Lample, Guillaume, Myle Ott, Alexis Conneau, Ludovic Denoyer, & Marc’Aurelio Ranzato. (2018). Phrase-Based & Neural Unsupervised Machine Translation. 5039–5049. 252 indexed citations

17.

Conneau, Alexis, Ruty Rinott, Guillaume Lample, et al.. (2018). XNLI: Evaluating Cross-lingual Sentence Representations. 2475–2485. 499 indexed citations breakdown →

18.

Conneau, Alexis, Douwe Kiela, Holger Schwenk, Loïc Barrault, & Antoine Bordes. (2017). Supervised Learning of Universal Sentence Representations from Natural\n Language Inference Data. arXiv (Cornell University). 1002 indexed citations breakdown →

19.

Vasile, Flavian, Elena Smirnova, & Alexis Conneau. (2016). Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation. arXiv (Cornell University). 63 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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