2026 Alexey Dosovitskiy: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Rising Stars	56	198	198	26	26	70	52341
Computer Science	56	3927	3816	1862	1795	70	57654

Research.com Recognitions

2025 - Research.com Rising Stars Award

Overview

Alexey Dosovitskiy is affiliated with Google in the United States and has contributed extensively to the field of computer science, particularly in computer vision and pattern recognition. Their research spans several subfields including artificial intelligence, computer graphics and computer-aided design, environmental engineering, and aerospace engineering.

The scientist's work focuses on a range of main topics including:

Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Advanced Vision and Imaging
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Computer Graphics and Visualization Techniques
Generative Adversarial Networks and Image Synthesis

Alexey Dosovitskiy has a strong publication record with papers frequently appearing in venues such as:

arXiv (Cornell University)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE Robotics and Automation Letters

Key recent papers include:

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale, 2020, arXiv (Cornell University)
MLP-Mixer: An all-MLP Architecture for Vision, 2021, arXiv (Cornell University)
Object-Centric Learning with Slot Attention, 2020, arXiv (Cornell University)
Do Vision Transformers See Like Convolutional Neural Networks?, 2021, arXiv (Cornell University)
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Throughout their career, Dosovitskiy has collaborated frequently with several co-authors, including:

Thomas Kipf (6 collaborations)
Klaus Greff (5 collaborations)
Jakob Uszkoreit (5 collaborations)
Dirk Weissenborn (4 collaborations)
Aravindh Mahendran (4 collaborations)

Best Publications

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Alexey Dosovitskiy;Lucas Beyer;Alexander Kolesnikov;Dirk Weissenborn

21436
Citations
FlowNet: Learning Optical Flow with Convolutional Networks

Alexey Dosovitskiy;Philipp Fischery;Eddy Ilg;Philip Hausser

4275
Citations
Striving for Simplicity: The All Convolutional Net

Jost Tobias Springenberg;Alexey Dosovitskiy;Thomas Brox;Martin A. Riedmiller

3474
Citations
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Eddy Ilg;Nikolaus Mayer;Tonmoy Saikia;Margret Keuper

3435
Citations
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Nikolaus Mayer;Eddy Ilg;Philip Hausser;Philipp Fischer

2866
Citations
CARLA: An Open Urban Driving Simulator

Alexey Dosovitskiy;Germán Ros;Felipe Codevilla;Antonio M. López

1813
Citations
MLP-Mixer: An all-MLP Architecture for Vision

Ilya Tolstikhin;Neil Houlsby;Alexander Kolesnikov;Lucas Beyer

1491
Citations
Learning agile and dynamic motor skills for legged robots

Jemin Hwangbo;Joonho Lee;Alexey Dosovitskiy;Dario Bellicoso

1330
Citations
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

Ricardo Martin-Brualla;Noha Radwan;Mehdi S. M. Sajjadi;Jonathan T. Barron

1073
Citations
End-to-End Driving Via Conditional Imitation Learning

Felipe Codevilla;Matthias Miiller;Antonio Lopez;Vladlen Koltun

1072
Citations
FlowNet: Learning Optical Flow with Convolutional Networks

Philipp Fischer;Alexey Dosovitskiy;Eddy Ilg;Philip Häusser

1056
Citations
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks

Alexey Dosovitskiy;Jost Tobias Springenberg;Martin Riedmiller;Thomas Brox

1013
Citations
Generating Images with Perceptual Similarity Metrics based on Deep Networks

Alexey Dosovitskiy;Thomas Brox

960
Citations
Learning to generate chairs with convolutional neural networks

Alexey Dosovitskiy;Jost Tobias Springenberg;Thomas Brox

812
Citations
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs

Maxim Tatarchenko;Alexey Dosovitskiy;Thomas Brox

791
Citations
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

Alexey Dosovitskiy;Philipp Fischer;Jost Tobias Springenberg;Martin Riedmiller

758
Citations
Inverting Visual Representations with Convolutional Networks

Alexey Dosovitskiy;Thomas Brox

749
Citations
DeMoN: Depth and Motion Network for Learning Monocular Stereo

Benjamin Ummenhofer;Huizhong Zhou;Jonas Uhrig;Nikolaus Mayer

747
Citations
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space

Anh Nguyen;Jeff Clune;Yoshua Bengio;Alexey Dosovitskiy

709
Citations
On Evaluation of Embodied Navigation Agents

Peter Anderson;Angel X. Chang;Devendra Singh Chaplot;Alexey Dosovitskiy

664
Citations
Object-Centric Learning with Slot Attention

Francesco Locatello;Dirk Weissenborn;Thomas Unterthiner;Aravindh Mahendran

294
Citations

Frequent Co-Authors

Thomas Brox University of Freiburg

Vladlen Koltun Apple (United States)

Jost Tobias Springenberg University of Freiburg

Rene Ranftl Intel (United States)

Davide Scaramuzza University of Zurich

Daniel Cremers Technical University of Munich

Martin Riedmiller DeepMind (United Kingdom)

Antonio M. López Autonomous University of Barcelona

Jakob Uszkoreit Inceptive

Alexander Kolesnikov OpenAI

External Links

Personal website of Alexey Dosovitskiy Google Scholar page

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