M Wien

2.1k citations
69 papers · 1.4k · h-index 17

Impact in

Papers in

    • Advanced Vision and Imaging 37
    • Advanced Data Compression Techniques 28
    • Advanced Image Processing Techniques 21
    • Image and Video Quality Assessment 16
    • Image and Signal Denoising Methods 4
    • Video Coding and Compression Technologies 53

M Wien

63 papers receiving 1.3k citations

Peers

M Wien
Comparison fields: 5 of 60
  • Signal Processing 1.0k
  • Computer Vision and Pattern Recognition 1.2k
  • Computer Graphics and Computer-Aided Design 29
  • Computer Networks and Communications 160
  • Media Technology 59
Replace Pedro Assunção with:
Pedro Assunção Portugal
Fuzheng Yang China
Ye-Kui Wang Finland
Jill M. Boyce United States
Patrice Rondão Alface Belgium
Anne Aaron United States
Louis Kerofsky United States
Benjamin Bross Germany
Xinggong Zhang China
W.A.C. Fernando United Kingdom
M Wien relative to Pedro Assunção Portugal Pedro Assunção's profile →
Citations per field
00.5×1.5×
Pedro Assunção · 1×
Citations per year

Countries citing papers authored by M Wien

Since Specialization
Citations

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

Fields of papers citing papers by M Wien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M Wien, 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 M Wien Line = papers co-authored together M Wien links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014242
2 2007219
3 2014106
4 200388
5 200781
6 201959
7 200857
8 200056
9
The Scalable Video Coding Extension of the H.264/AVC Standard
200843
10 201142
11 200831
12 200830
13 200729
14 201724
15 201218
16 200817
17 202017
18 201015
19 200913
20 201713

About M Wien

M Wien is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Graphics and Computer-Aided Design, Sociology and Political Science and Computational Mechanics, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (53 papers), Advanced Vision and Imaging (37 papers), Advanced Data Compression Techniques (28 papers), Advanced Image Processing Techniques (21 papers), Image and Video Quality Assessment (16 papers), Computer Graphics and Visualization Techniques (5 papers), Multimedia Communication and Technology (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Signal Processing (1.0k citations), Computer Vision and Pattern Recognition (1.2k citations), Computer Graphics and Computer-Aided Design (29 citations), Computer Networks and Communications (160 citations) and Media Technology (59 citations). M Wien has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Heiko Schwarz, Tobias Oelbaum, Jens-Rainer Ohm, Bernd Menser, Xiang Li, Jill M. Boyce, Johannes Ballé, Andreas Hutter, Peter Amon and Thomas Stockhammer. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Scientific Reports, IEEE Signal Processing Magazine, The Visual Computer and Proceedings of the IEEE.

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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