Antoine Chaffin

698 total citations · 1 hit paper
6 papers, 26 citations indexed

About

Antoine Chaffin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Antoine Chaffin has authored 6 papers receiving a total of 26 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Antoine Chaffin's work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Multimodal Machine Learning Applications (2 papers). Antoine Chaffin is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Multimodal Machine Learning Applications (2 papers). Antoine Chaffin collaborates with scholars based in France. Antoine Chaffin's co-authors include Pierre Fernandez, Teddy Furon, R. Biswas, Faisal Ladhak, Orion Weller, Jeremy Howard, Ewa Kijak, Vincent Claveau, Thomas Scialom and Jacopo Staiano and has published in prestigious journals such as Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

In The Last Decade

Antoine Chaffin

4 papers receiving 26 citations

Hit Papers

Smarter, Better, Faster, Longer: A Modern Bidirectional E... 2025 2026 2025 4 8 12

Peers

Antoine Chaffin
Comparison fields: 5 of 14
  • Artificial Intelligence 14
  • Information Systems 4
  • Computer Vision and Pattern Recognition 3
  • Management Science and Operations Research 2
  • Computer Networks and Communications 1
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Citations per field, relative to Antoine Chaffin
Antoine Chaffin · 1×
Citations per year, relative to Antoine Chaffin
Antoine Chaffin · 1×

Countries citing papers authored by Antoine Chaffin

Since Specialization
Citations

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

Fields of papers citing papers by Antoine Chaffin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antoine Chaffin

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 0
2
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference breakdown →
14
3 0
4 9
5 2
6
La génération de textes artificiels en substitution ou en complément de données d'apprentissage (Generating artificial texts as substitution or complement of training data ).
1

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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