Werner Robitza

1.0k citations
47 papers · 762 indexed · h-index 14

Werner Robitza

45 papers receiving 730 citations

Peers

Werner Robitza
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 673
  • Signal Processing 271
  • Human-Computer Interaction 122
  • Media Technology 108
  • Computer Networks and Communications 145
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Steve Göring Germany
Ching-Ling Fan Taiwan
Saman Zadtootaghaj Germany
Chenglei Wu China
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Marie-Neige Garcia Germany
Ahsan Arefin United States
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Citations per year

Countries citing papers authored by Werner Robitza

Since Specialization
Citations

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

Fields of papers citing papers by Werner Robitza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20232
3 202211
4 202110
5 202033
6 201946
7 20181
8 2018111
9 201811
10 201789
11 20175
12 201735
13 201611
14 20164
15 20131
16 20131
17 20119
18
Slider or glove? Proposing an alternative quality rating methodology
20109
19 20104
20
Mobile TV coding
20091

About Werner Robitza

Werner Robitza is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction, Media Technology and Geography, Planning and Development, having authored 47 papers that have together received 762 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (37 papers), Video Coding and Compression Technologies (16 papers), Multimedia Communication and Technology (15 papers), Advanced Data Compression Techniques (9 papers), Visual Attention and Saliency Detection (5 papers), Telecommunications and Broadcasting Technologies (4 papers), Web Data Mining and Analysis (3 papers) and Network Traffic and Congestion Control (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (673 citations), Signal Processing (271 citations), Human-Computer Interaction (122 citations), Media Technology (108 citations) and Computer Networks and Communications (145 citations). Werner Robitza has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Alexander Raake, Steve Göring, Bernhard Feiten, Ashutosh Singla, Marie-Neige Garcia, Stephan Fremerey, Peter List, Rakesh Rao Ramachandra Rao, Jörgen Gustafsson and Peter A. Kara. Their work appears in journals such as Signal Processing Image Communication, IEEE Access, Multimedia Tools and Applications, ACM Transactions on Multimedia Computing Communications and Applications and International Conference on Telecommunications.

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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