2026 Alexei A. Efros: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	108	248	241	137	133	224	129127

Alexei A. Efros publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Alexei A. Efros sits on this spectrum.

32 publications 991+

This scientist: 224 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Alexei A. Efros D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Alexei A. Efros sits on this spectrum.

30 D-Index 131+

This scientist: 108 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2016 - ACM Prize in Computing For groundbreaking data-driven approaches to computer graphics and computer vision.
2008 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Alexei A. Efros is affiliated with the University of California, Berkeley in the United States and has contributed extensively to the field of computer science, with a particular focus on computer vision and artificial intelligence. Their research portfolio includes numerous publications and collaborations in areas related to image synthesis, vision recognition, and machine learning techniques.

Efros has published extensively in both journals and conferences, with a significant number of works appearing in arXiv (Cornell University). Other frequent venues include the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and its workshops, as well as lecture notes in computer science collections and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Some recent publications authored or co-authored by Efros include:

Dataset Distillation by Matching Training Trajectories, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Swapping Autoencoder for Deep Image Manipulation, 2020, arXiv (Cornell University)
Contrastive Learning for Unpaired Image-to-Image Translation, 2020, arXiv (Cornell University)
Space-Time Correspondence as a Contrastive Random Walk, 2020, arXiv (Cornell University)
What Should Not Be Contrastive in Contrastive Learning, 2020, arXiv (Cornell University)

Collaborations feature prominently in Efros's work, with frequent co-authors including:

Jun-Yan Zhu
Richard Zhang
Mathieu Aubry
Trevor Darrell
Aleksander Holynski

The primary fields of study for Efros are computer science and its subfields, particularly:

Computer Vision and Pattern Recognition
Artificial Intelligence
Computer Graphics and Computer-Aided Design
Aerospace Engineering
Computational Mechanics

Efros's main research topics encompass a range of advanced topics in computer science and machine learning:

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

Recognition of Efros's contributions includes the ACM Prize in Computing awarded in 2016 for groundbreaking data-driven approaches to computer graphics and computer vision, as well as a fellowship from the John Simon Guggenheim Memorial Foundation in 2008.

Best Publications

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

Jun-Yan Zhu;Taesung Park;Phillip Isola;Alexei A. Efros

22900
Citations
Image-to-Image Translation with Conditional Adversarial Networks

Phillip Isola;Jun-Yan Zhu;Tinghui Zhou;Alexei A. Efros

20939
Citations
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Richard Zhang;Phillip Isola;Phillip Isola;Alexei A. Efros;Eli Shechtman

11792
Citations
Context Encoders: Feature Learning by Inpainting

Deepak Pathak;Philipp Krahenbuhl;Jeff Donahue;Trevor Darrell

5336
Citations
Texture synthesis by non-parametric sampling

A.A. Efros;T.K. Leung

4667
Citations
Colorful Image Colorization

Richard Yi Zhang;Phillip Isola;Alexei A. Efros

3589
Citations
Image quilting for texture synthesis and transfer

Alexei A. Efros;William T. Freeman

3525
Citations
Recovering high dynamic range radiance maps from photographs

Paul E. Debevec;Jitendra Malik

3434
Citations
Unsupervised Visual Representation Learning by Context Prediction

Carl Doersch;Abhinav Gupta;Alexei A. Efros

2893
Citations
Unbiased look at dataset bias

Antonio Torralba;Alexei A. Efros

2675
Citations
CyCADA: Cycle-Consistent Adversarial Domain Adaptation

Judy Hoffman;Eric Tzeng;Taesung Park;Jun-Yan Zhu

2452
Citations
Curiosity-driven Exploration by Self-supervised Prediction

Deepak Pathak;Pulkit Agrawal;Alexei A. Efros;Trevor Darrell

1959
Citations
Discovering objects and their location in images

J. Sivic;B.C. Russell;A.A. Efros;A. Zisserman

1650
Citations
Generative Visual Manipulation on the Natural Image Manifold

Jun-Yan Zhu;Philipp Krähenbühl;Eli Shechtman;Alexei A. Efros

1361
Citations
Putting Objects in Perspective

D. Hoiem;A.A. Efros;M. Hebert

1324
Citations
Contrastive Learning for Unpaired Image-to-Image Translation

Taesung Park;Alexei A. Efros;Richard Zhang;Jun Yan Zhu

1321
Citations
IM2GPS: estimating geographic information from a single image

J. Hays;A.A. Efros

1160
Citations
Ensemble of exemplar-SVMs for object detection and beyond

Tomasz Malisiewicz;Abhinav Gupta;Alexei A. Efros

1145
Citations
Scene completion using millions of photographs

James Hays;Alexei A. Efros

1060
Citations
Toward Multimodal Image-to-Image Translation

Jun Yan Zhu;Richard Zhang;Deepak Pathak;Trevor Darrell

1044
Citations
Recognizing Action at a Distance

Alexei A. Efros;Alexander C. Berg;Greg Mori;Jitendra Malik

476
Citations

Frequent Co-Authors

Jun-Yan Zhu Carnegie Mellon University

Martial Hebert Carnegie Mellon University

Trevor Darrell University of California, Berkeley

Jitendra Malik University of California, Berkeley

Phillip Isola MIT

Abhinav Gupta Carnegie Mellon University

Eli Shechtman Adobe Systems (United States)

Shubham Tulsiani Carnegie Mellon University

Derek Hoiem University of Illinois at Urbana-Champaign

Philipp Krähenbühl The University of Texas at Austin

External Links

Wikipedia of Alexei A. Efros Personal website of Alexei A. Efros Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens up a wide array of online degree options and lucrative career paths. Many students are now considering easy degrees to get online that pay well, which offer flexible learning while leading to well-compensated roles. These quick degrees span fields like IT, cybersecurity, and data analysis—paving a faster pathway into the tech job market.

For those interested in emerging technologies, pursuing one of the cheapest online master's in artificial intelligence can offer advanced expertise without a high price tag. AI skills are in strong demand, making this an enticing option for career growth.

When considering your future path, it’s wise to review the top degrees in demand for the future. Tech-driven majors, including Computer Science and related fields, continue to offer excellent prospects in various industries.

If you’re looking for graduate studies that balance accessibility and opportunity, check out the easiest masters programs to get into. These programs help broaden your qualification profile and enhance career mobility, regardless of your current background.