Guillaume Wenzek

2.3k total citations
6 papers, 198 citations indexed

About

Guillaume Wenzek is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Guillaume Wenzek has authored 6 papers receiving a total of 198 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 1 paper in Information Systems. Recurrent topics in Guillaume Wenzek's work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (3 papers). Guillaume Wenzek is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (3 papers). Guillaume Wenzek collaborates with scholars based in Israel, France and United Kingdom. Guillaume Wenzek's co-authors include Vishrav Chaudhary, Peng‐Jen Chen, Marc’Aurelio Ranzato, Angela Fan, Naman Goyal, Da Young Ju, Francisco Guzmán, Cynthia Gao, Armand Joulin and Édouard Grave and has published in prestigious journals such as Journal of Machine Learning Research, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

In The Last Decade

Guillaume Wenzek

6 papers receiving 176 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guillaume Wenzek Israel	5	193	47	20	10	9	6	198
Hinrich Schuetze Germany	8	162 0.8×	32 0.7×	22 1.1×	11 1.1×	12 1.3×	41	185
Shuailiang Zhang China	3	242 1.3×	79 1.7×	20 1.0×	11 1.1×	8 0.9×	3	264
Qinghong Han China	4	152 0.8×	24 0.5×	17 0.8×	9 0.9×	7 0.8×	4	171
Or Honovich Israel	7	199 1.0×	40 0.9×	29 1.4×	6 0.6×	6 0.7×	10	221
Leonardo F. R. Ribeiro Germany	6	231 1.2×	43 0.9×	20 1.0×	16 1.6×	6 0.7×	12	245
Rangan Majumder Finland	5	210 1.1×	86 1.8×	32 1.6×	7 0.7×	7 0.8×	5	223
Doo Soon Kim United States	6	143 0.7×	39 0.8×	24 1.2×	7 0.7×	8 0.9×	10	158
Jasmijn Bastings United States	5	164 0.8×	37 0.8×	15 0.8×	8 0.8×	3 0.3×	8	195
Max Glockner Germany	3	168 0.9×	47 1.0×	15 0.8×	4 0.4×	12 1.3×	4	174
Clara Vania Indonesia	6	198 1.0×	33 0.7×	35 1.8×	8 0.8×	7 0.8×	18	212

Countries citing papers authored by Guillaume Wenzek

Since Specialization

Citations

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

Fields of papers citing papers by Guillaume Wenzek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Wenzek

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

6 of 6 papers shown

1.

Andrews, Pierre, Guillaume Wenzek, Kevin S. Heffernan, et al.. (2022). stopes - Modular Machine Translation Pipelines. 258–265. 3 indexed citations

2.

Goyal, Naman, Cynthia Gao, Vishrav Chaudhary, et al.. (2022). The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation. Transactions of the Association for Computational Linguistics. 10. 522–538. 104 indexed citations

3.

Fan, Angela, Shruti Bhosale, Holger Schwenk, et al.. (2021). Beyond English-Centric Multilingual Machine Translation. Journal of Machine Learning Research. 22(107). 1–48. 11 indexed citations

4.

Fan, Angela, Aleksandra Piktus, Fabio Petroni, et al.. (2020). Generating Fact Checking Briefs. 7147–7161. 21 indexed citations

5.

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

6.

Chen, Peng‐Jen, Jiajun Shen, Matthew Le, et al.. (2019). Facebook AI’s WAT19 Myanmar-English Translation Task Submission. 18 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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