2026 Radu Timofte: 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	93	507	491	22	22	450	49643

Radu Timofte 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 Radu Timofte sits on this spectrum.

32 publications 991+

This scientist: 450 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Radu Timofte 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 Radu Timofte sits on this spectrum.

30 D-Index 131+

This scientist: 93 D-Index — 97th percentile

97% 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

2025 - Research.com Computer Science in Switzerland Leader Award
2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Radu Timofte is affiliated with the University of Wurzburg in Germany and has contributed extensively to the fields of computer science and engineering. Their research primarily focuses on computer vision and pattern recognition, media technology, artificial intelligence, biomedical engineering, and aerospace engineering. The volume of their work reflects considerable engagement in these technical areas.

The scientist's work spans several core topics, including:

Advanced Image Processing Techniques
Advanced Vision and Imaging
Image and Signal Denoising Methods
Image Processing Techniques and Applications
Image Enhancement Techniques
Generative Adversarial Networks and Image Synthesis
Advanced Neural Network Applications

Significant venues for their research dissemination include:

arXiv (Cornell University)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Lecture Notes in Computer Science
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Among recent papers showcasing their involvement in cutting-edge topics are:

"RePaint: Inpainting using Denoising Diffusion Probabilistic Models," 2022, published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"LocalViT: Analyzing Locality in Vision Transformers," 2021, published on arXiv (Cornell University)
"Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction," 2022, at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction," 2022, at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
"Video super-resolution based on deep learning: a comprehensive survey," 2022, published in Artificial Intelligence Review

Radu Timofte's collaborative network includes frequent co-authors such as Luc Van Gool, Marcos V. Conde, Martin Danelljan, Yulun Zhang, and Kai Zhang. Each of these collaborators has worked on numerous projects alongside Timofte, reflecting ongoing joint research efforts.

Best Publications

SwinIR: Image Restoration Using Swin Transformer

Jingyun Liang;Jiezhang Cao;Guolei Sun;Kai Zhang

3813
Citations
NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study

Eirikur Agustsson;Radu Timofte

3715
Citations
RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Unknown

1891
Citations
A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution

Radu Timofte;Vincent De Smet;Luc J. Van Gool;Luc J. Van Gool

1821
Citations
Anchored Neighborhood Regression for Fast Example-Based Super-Resolution

Radu Timofte;Vincent De;Luc Van Gool

1528
Citations
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

1483
Citations
Learning Discriminative Model Prediction for Tracking

Goutam Bhat;Martin Danelljan;Luc Van Gool;Radu Timofte

1215
Citations
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte;Shuhang Gu;Luc Van Gool;Lei Zhang

1100
Citations
Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks

Rasmus Rothe;Radu Timofte;Luc Van Gool

961
Citations
DEX: Deep EXpectation of Apparent Age from a Single Image

Rasmus Rothe;Radu Timofte;Luc Van Gool

772
Citations
Pedestrian detection at 100 frames per second

Rodrigo Benenson;Markus Mathias;Radu Timofte;Luc Van Gool

766
Citations
O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images

Codruta O. Ancuti;Cosmin Ancuti;Radu Timofte;Christophe De Vleeschouwer

693
Citations
Plug-and-Play Image Restoration with Deep Denoiser Prior

Kai Zhang;Yawei Li;Wangmeng Zuo;Lei Zhang

686
Citations
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion

Unknown

676
Citations
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks

Andrey Ignatov;Nikolay Kobyshev;Radu Timofte;Kenneth Vanhoey

595
Citations
Probabilistic Regression for Visual Tracking

Martin Danelljan;Luc Van Gool;Radu Timofte

578
Citations
The 2018 PIRM Challenge on Perceptual Image Super-Resolution

Yochai Blau;Roey Mechrez;Radu Timofte;Tomer Michaeli

519
Citations
Generative Adversarial Networks for Extreme Learned Image Compression

Eirikur Agustsson;Michael Tschannen;Fabian Mentzer;Radu Timofte

518
Citations
NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study

Seungjun Nah;Sungyong Baik;Seokil Hong;Gyeongsik Moon

480
Citations
Multi-view traffic sign detection, recognition, and 3D localisation

Radu Timofte;Karel Zimmermann;Luc Van Gool

472
Citations
Seven Ways to Improve Example-Based Single Image Super Resolution

Radu Timofte;Rasmus Rothe;Luc Van Gool

469
Citations
Conditional Probability Models for Deep Image Compression

Fabian Mentzer;Eirikur Agustsson;Michael Tschannen;Radu Timofte

459
Citations
Hough transform and 3D SURF for robust three dimensional classification

Jan Knopp;Mukta Prasad;Geert Willems;Radu Timofte

456
Citations
The Seventh Visual Object Tracking VOT2019 Challenge Results

Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

453
Citations

Frequent Co-Authors

Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

Shuhang Gu University of Electronic Science and Technology of China

Martin Danelljan ETH Zurich

A. N. Rajagopalan Indian Institute of Technology Madras

Kyoung Mu Lee Seoul National University

Xinbo Gao Xidian University

Wangmeng Zuo Harbin Institute of Technology

Chao Dong Shenzhen Institutes of Advanced Technology

Ales Leonardis University of Birmingham

Christian Micheloni University of Udine

External Links

Personal website of Radu Timofte Google Scholar page

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