Alexandre Sablayrolles is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering.
According to data from OpenAlex, Alexandre Sablayrolles has authored 7 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Alexandre Sablayrolles's work include Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Alexandre Sablayrolles is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Alexandre Sablayrolles collaborates with scholars based in France, Israel and Switzerland. Alexandre Sablayrolles's co-authors include Matthijs Douze, Hugo Touvron, Francisco Massa, Hervé Jeǵou, Chuan Guo, Douwe Kiela, Matthieu Cord, Pierre Fernandez, Teddy Furon and Guillaume Lample and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), HAL (Le Centre pour la Communication Scientifique Directe) and arXiv (Cornell University).
In The Last Decade
Alexandre Sablayrolles
7 papers
receiving
731 citations
Hit Papers
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.
Training data-efficient image transformers & distillation through attention
2020607 citationsHugo Touvron, Matthijs Douze et al.arXiv (Cornell University)profile →
Citations per field, relative to Alexandre Sablayrolles
Alexandre Sablayrolles · 1×
×0.8368CVPR
×0.8204AI
×0.991MT
×0.967RNMI
×0.949EEE
Citations per year, relative to Alexandre Sablayrolles
Alexandre Sablayrolles · 1×
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Countries citing papers authored by Alexandre Sablayrolles
Since
Specialization
Citations
This map shows the geographic impact of Alexandre Sablayrolles'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 Alexandre Sablayrolles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Sablayrolles more than expected).
Fields of papers citing papers by Alexandre Sablayrolles
This network shows the impact of papers produced by Alexandre Sablayrolles. 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 Alexandre Sablayrolles. The network helps show where Alexandre Sablayrolles may publish in the future.
Co-authorship network of co-authors of Alexandre Sablayrolles
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Sablayrolles.
A scholar is included among the top collaborators of Alexandre Sablayrolles 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 Alexandre Sablayrolles. Alexandre Sablayrolles is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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
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