M. Bystrom

621 citations
42 papers · 415 · h-index 11

Impact in

Papers in

M. Bystrom

40 papers receiving 400 citations

Peers

M. Bystrom
Comparison fields: 5 of 30
  • Signal Processing 267
  • Computer Vision and Pattern Recognition 264
  • Computer Networks and Communications 117
  • Electrical and Electronic Engineering 180
  • Media Technology 17
Replace Joeri Barbarien with:
Joeri Barbarien Belgium
Guan‐Ming Su United States
Chad E. Fogg United States
Didier J. LeGall United States
S. Panchanathan Canada
Yoshiyuki Yashima Japan
Thomas Wedi Japan
H. Murakami Japan
Zixiang Xiong United States
Sung-Wen Wang Taiwan
M. Bystrom relative to Joeri Barbarien Belgium Joeri Barbarien's profile →
Citations per field
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Joeri Barbarien · 1×
Citations per year

Countries citing papers authored by M. Bystrom

Since Specialization
Citations

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

Fields of papers citing papers by M. Bystrom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside M. Bystrom, 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. Bystrom Line = papers co-authored together M. Bystrom links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200070
2 200553
3 200651
4 200138
5 199920
6 200419
7 200217
8 200916
9 200212
10 200211
11 200710
12 20059
13 20058
14 20067
15 20026
16 20045
17 20084
18 20034
19 20074
20 20024

About M. Bystrom

M. Bystrom is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 42 papers that have together received 415 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (19 papers), Advanced Data Compression Techniques (18 papers), Advanced Vision and Imaging (8 papers), Advanced Wireless Communication Techniques (8 papers), Image and Video Quality Assessment (7 papers), Advanced Photonic Communication Systems (6 papers), Algorithms and Data Compression (6 papers) and Optical Network Technologies (5 papers). The work is most often cited by research in Signal Processing (267 citations), Computer Vision and Pattern Recognition (264 citations), Computer Networks and Communications (117 citations), Electrical and Electronic Engineering (180 citations) and Media Technology (17 citations). M. Bystrom has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include J.W. Modestino, Thomas Stockhammer, Iain E. G. Richardson, Stefan Kaiser, V. Parthasarathy, P.R. Herczfeld, Yifei Li, Yong Li, Tibor Berceli and Manuel López‐Martín. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, Signal Processing Image Communication and IEEE Journal on Selected Areas in Communications.

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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