Dmytro Rusanovskyy

416 total citations
29 papers, 282 citations indexed

About

Dmytro Rusanovskyy is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Dmytro Rusanovskyy has authored 29 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 25 papers in Signal Processing and 3 papers in Media Technology. Recurrent topics in Dmytro Rusanovskyy's work include Video Coding and Compression Technologies (24 papers), Advanced Vision and Imaging (19 papers) and Advanced Data Compression Techniques (11 papers). Dmytro Rusanovskyy is often cited by papers focused on Video Coding and Compression Technologies (24 papers), Advanced Vision and Imaging (19 papers) and Advanced Data Compression Techniques (11 papers). Dmytro Rusanovskyy collaborates with scholars based in Finland, United States and China. Dmytro Rusanovskyy's co-authors include Kemal Uǧur, Jani Lainema, Miska M. Hannuksela, Antti Hallapuro, Moncef Gabbouj, Kenneth Andersson, Rickard Sjöberg, Justin T. Ridge, Andrey Norkin and A. Fuldseth and has published in prestigious journals such as IEEE Signal Processing Magazine, IEEE Transactions on Circuits and Systems for Video Technology and 3D Research.

In The Last Decade

Dmytro Rusanovskyy

29 papers receiving 271 citations

Peers

Dmytro Rusanovskyy
Comparison fields: 5 of 20
  • Computer Vision and Pattern Recognition 268
  • Signal Processing 230
  • Media Technology 20
  • Electrical and Electronic Engineering 12
  • Sociology and Political Science 8
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Citations per field, relative to Dmytro Rusanovskyy
Dmytro Rusanovskyy · 1×
Citations per year, relative to Dmytro Rusanovskyy
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Countries citing papers authored by Dmytro Rusanovskyy

Since Specialization
Citations

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

Fields of papers citing papers by Dmytro Rusanovskyy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmytro Rusanovskyy

This figure shows the co-authorship network connecting the top 25 collaborators of Dmytro Rusanovskyy. A scholar is included among the top collaborators of Dmytro Rusanovskyy 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 Dmytro Rusanovskyy. Dmytro Rusanovskyy 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 29
2 13
3 6
4 6
5 8
6 2
7 4
8 2
9 6
10 3
11 119
12 1
13 12
14 19
15 4
16 2
17 6
18 1
19 1
20
Moving-window varying size 3D transform-based video denoising
6

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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