Sylvain Gugger

10.4k total citations · 2 hit papers
4 papers, 1.1k citations indexed

About

Sylvain Gugger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sylvain Gugger has authored 4 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sylvain Gugger's work include Natural Language Processing Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Multimodal Machine Learning Applications (1 paper). Sylvain Gugger is often cited by papers focused on Natural Language Processing Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Multimodal Machine Learning Applications (1 paper). Sylvain Gugger collaborates with scholars based in United States, Austria and Poland. Sylvain Gugger's co-authors include Jeremy Howard, Canwen Xu, Anthony Moi, Julien Chaumond, Thomas Wolf, Lysandre Debut, Teven Le Scao, Victor Sanh, Quentin Lhoest and Clément Delangue and has published in prestigious journals such as Information and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Sylvain Gugger

4 papers receiving 1.0k citations

Hit Papers

Fastai: A Layered API for Deep Learning 2020 2026 2022 2024 2020 2020 100 200 300 400 500
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.

  1. Fastai: A Layered API for Deep Learning
    2020 598 citations Jeremy Howard, Sylvain Gugger Information profile →
  2. Transformers: State-of-the-Art Natural Language Processing
    2020 436 citations Thomas Wolf, Lysandre Debut et al. Zenodo (CERN European Organization for Nuclear Research) profile →

Peers

Sylvain Gugger
Saad Sadiq United States
Hussain Al-Ahmad United Arab Emirates
Chiranjibi Sitaula Australia
Saurabh Singh India
Gaurav Gupta India
Sansanee Auephanwiriyakul Thailand
Menglin Jia United States
Timothy Dozat United States
Nasir Ahmad Pakistan
Saad Sadiq United States
Sylvain Gugger
Citations per year, relative to Sylvain Gugger Sylvain Gugger (= 1×) peers Saad Sadiq

Countries citing papers authored by Sylvain Gugger

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Gugger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvain Gugger

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

All Works

4 of 4 papers shown
1.
Howard, Jeremy & Sylvain Gugger. (2020). Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD. 30 indexed citations
2.
Howard, Jeremy & Sylvain Gugger. (2020). Fastai: A Layered API for Deep Learning. Information. 11(2). 108–108. 598 indexed citations breakdown →
3.
Wolf, Thomas, Lysandre Debut, Victor Sanh, et al.. (2020). Transformers: State-of-the-Art Natural Language Processing. Zenodo (CERN European Organization for Nuclear Research). 436 indexed citations breakdown →
4.
Eisenschlos, Julian Martin, et al.. (2019). MultiFiT: Efficient Multi-lingual Language Model Fine-tuning. 5701–5706. 47 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Saad Sadiq Breakdown of academic impact, for papers by Hussain Al-Ahmad Breakdown of academic impact, for papers by Chiranjibi Sitaula Breakdown of academic impact, for papers by Saurabh Singh Breakdown of academic impact, for papers by Gaurav Gupta Breakdown of academic impact, for papers by Sansanee Auephanwiriyakul Breakdown of academic impact, for papers by Menglin Jia Breakdown of academic impact, for papers by Timothy Dozat Breakdown of academic impact, for papers by Nasir Ahmad
Rankless by CCL
2026