Lucas Beyer

75 total papers · 31.1k total citations
15 papers, 1.5k citations indexed

About

Lucas Beyer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Lucas Beyer has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Lucas Beyer's work include Domain Adaptation and Few-Shot Learning (9 papers), Advanced Neural Network Applications (7 papers) and Multimodal Machine Learning Applications (6 papers). Lucas Beyer is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Advanced Neural Network Applications (7 papers) and Multimodal Machine Learning Applications (6 papers). Lucas Beyer collaborates with scholars based in Germany, United States and Switzerland. Lucas Beyer's co-authors include Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, Basil Mustafa, А. И. Колесников, Daniel Keysers, Xiao Wang, Andreas Steiner, Rohan Anil and Sylvain Gelly and has published in prestigious journals such as International Journal of Psychophysiology, IEEE Robotics and Automation Letters and Journal of the Audio Engineering Society.

In The Last Decade

Lucas Beyer

14 papers receiving 1.4k citations

Hit Papers

Scaling Vision Transformers 2019 2026 2021 2023 2022 2019 2022 2023 100 200 300 400
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Scaling Vision Transformers
    2022 419 citations Xiaohua Zhai, Alexander Kolesnikov et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  2. Revisiting Self-Supervised Visual Representation Learning
    2019 332 citations Alexander Kolesnikov, Xiaohua Zhai et al. profile →
  3. LiT: Zero-Shot Transfer with Locked-image text Tuning
    2022 195 citations Xiaohua Zhai, Xiao Wang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  4. Sigmoid Loss for Language Image Pre-Training
    2023 153 citations Xiaohua Zhai, Basil Mustafa et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lucas Beyer 914 762 108 98 82 15 1.5k
Andreas Veit 642 0.7× 610 0.8× 119 1.1× 74 0.8× 72 0.9× 21 1.3k
Xiaohua Zhai 1.5k 1.6× 1.0k 1.3× 128 1.2× 112 1.1× 108 1.3× 26 2.1k
Raghuraman Gopalan 1.1k 1.1× 1.1k 1.4× 104 1.0× 88 0.9× 155 1.9× 17 1.7k
Saurabh Singh 612 0.7× 603 0.8× 148 1.4× 53 0.5× 82 1.0× 12 1.4k
Neil Alldrin 1.5k 1.6× 807 1.1× 93 0.9× 66 0.7× 102 1.2× 11 2.0k
Stefan Popov 1.4k 1.5× 641 0.8× 95 0.9× 114 1.2× 103 1.3× 15 1.9k
Alina Kuznetsova 1.3k 1.4× 709 0.9× 89 0.8× 59 0.6× 88 1.1× 12 1.8k
Chen Huang 1.2k 1.3× 719 0.9× 124 1.1× 86 0.9× 103 1.3× 24 1.9k
Jia Deng 1.2k 1.3× 779 1.0× 192 1.8× 73 0.7× 134 1.6× 14 1.9k
Konstantinos Bousmalis 1.0k 1.1× 780 1.0× 142 1.3× 96 1.0× 126 1.5× 16 1.5k

Countries citing papers authored by Lucas Beyer

Since Specialization
Citations

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

Fields of papers citing papers by Lucas Beyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucas Beyer

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

All Works

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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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2026