Vlad Hosu

1.4k total citations · 1 hit paper
24 papers, 795 citations indexed

About

Vlad Hosu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Vlad Hosu has authored 24 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 2 papers in Cognitive Neuroscience. Recurrent topics in Vlad Hosu's work include Image and Video Quality Assessment (18 papers), Advanced Image Processing Techniques (9 papers) and Visual Attention and Saliency Detection (6 papers). Vlad Hosu is often cited by papers focused on Image and Video Quality Assessment (18 papers), Advanced Image Processing Techniques (9 papers) and Visual Attention and Saliency Detection (6 papers). Vlad Hosu collaborates with scholars based in Germany, United Kingdom and United States. Vlad Hosu's co-authors include Dietmar Saupe, Hanhe Lin, Bastian Goldlücke, Franz Hahn, Mohsen Jenadeleh, Shujun Li, Hui Men, Tamás Szirányi, Raouf Hamzaoui and Andrés Bruhn and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia.

In The Last Decade

Vlad Hosu

23 papers receiving 767 citations

Hit Papers

KADID-10k: A Large-scale Artificially Distorted IQA Database 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Vlad Hosu
Comparison fields: 5 of 42
  • Computer Vision and Pattern Recognition 740
  • Media Technology 273
  • Cognitive Neuroscience 56
  • Signal Processing 45
  • Atomic and Molecular Physics, and Optics 36
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Anish Mittal United States View profile →
Citations per field, relative to Vlad Hosu
Vlad Hosu · 1×
Citations per year, relative to Vlad Hosu
Vlad Hosu · 1×

Countries citing papers authored by Vlad Hosu

Since Specialization
Citations

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

Fields of papers citing papers by Vlad Hosu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vlad Hosu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 4
4 23
5 1
6 3
7 5
8 2
9 1
10 9
11
No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features
5
12 20
13
KADID-10k: A Large-scale Artificially Distorted IQA Database breakdown →
293
14 5
15 11
16 10
17 215
18
Crowd workers proven useful : a comparative study of subjective video quality assessment
29
19 6
20 2

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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