Radu Timofte

38.8k citations
180 papers · 15.0k indexed · 20 hit papers · h-index 45

Radu Timofte

171 papers receiving 14.6k citations

Hit Papers

VRT: A Vid...76201220262016202150010001.5k2.0k

Peers

Radu Timofte
Comparison fields: 5 of 174
  • Media Technology 5.8k
  • Computer Vision and Pattern Recognition 12.5k
  • Computer Graphics and Computer-Aided Design 279
  • Signal Processing 769
  • Acoustics and Ultrasonics 64
Replace Wenzhe Shi with:
Wenzhe Shi United Kingdom
Guangtao Zhai China
José Caballero United Kingdom
Chen Change Loy Singapore
Fahad Shahbaz Khan United Arab Emirates
Haibin Ling United States
Johannes Totz United Kingdom
Chao Dong China
Sabine Süsstrunk Switzerland
Radu Timofte relative to Wenzhe Shi United Kingdom Wenzhe Shi's profile →
Citations per field
00.5×3.8×
Wenzhe Shi · 1×
Citations per year

Countries citing papers authored by Radu Timofte

Since Specialization
Citations

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

Fields of papers citing papers by Radu Timofte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Radu Timofte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Radu Timofte Line = papers co-authored together Radu Timofte links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20242
4 20245
5 20241
6 20242
7 20241
8 202344
9 202196
10 202173
11 202126
12 2019278
13 201921
14
O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Imagesbreakdown →
2018505
15
Towards Image Understanding from Deep Compression without Decoding
20184
16 2017132
17
Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks.
201710
18
DEX: Deep EXpectation of Apparent Age from a Single Imagebreakdown →
2015402
19 20131
20
Weighted collaborative representation and classification of images
201220

About Radu Timofte

Radu Timofte is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 180 papers that have together received 15.0k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (78 papers), Advanced Vision and Imaging (51 papers), Image and Signal Denoising Methods (39 papers), Image Enhancement Techniques (26 papers), Image Processing Techniques and Applications (26 papers), Advanced Image and Video Retrieval Techniques (20 papers), Advanced Image Fusion Techniques (18 papers) and Video Surveillance and Tracking Methods (18 papers). The work is most often cited by research in Media Technology (5.8k citations), Computer Vision and Pattern Recognition (12.5k citations) and Computer Graphics and Computer-Aided Design (279 citations). Radu Timofte has collaborated with scholars based in Switzerland, Belgium and Germany. Frequent co-authors include Luc Van Gool, Eirikur Agustsson, Kai Zhang, Jingyun Liang, Jiezhang Cao, Rasmus Rothe, Guolei Sun, Yulun Zhang, Martin Danelljan and Markus Mathias. Their work appears in journals such as International Journal of Computer Vision, Computer Vision and Image Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

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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