Andreas Hutter

1.1k citations
52 papers · 724 indexed · h-index 15

Andreas Hutter

50 papers receiving 684 citations

Peers

Andreas Hutter
Comparison fields: 5 of 45
  • Signal Processing 461
  • Computer Vision and Pattern Recognition 634
  • Computer Networks and Communications 80
  • Sociology and Political Science 107
  • Hardware and Architecture 14
Replace B. Erol with:
B. Erol Canada
Enrico Masala Italy
Peter Amon Germany
Stefano Petrangeli Belgium
James Nightingale United Kingdom
Jason J. Quinlan Ireland
Xinggong Zhang China
Darijo Raca Ireland
Pei-Kuei Tsung Taiwan
Andreas Hutter relative to B. Erol Canada B. Erol's profile →
Citations per field
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B. Erol · 1×
Citations per year

Countries citing papers authored by Andreas Hutter

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Hutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20172
2 20173
3 201513
4 201327
5 20131
6 201324
7
Generische Datenintegration zur semantischen Diagnoseunterstützung im Projekt THESEUS MEDICO.
20112
8 20111
9 20112
10 20106
11 20097
12 20097
13 20097
14
Rate-distortion optimized frame level rate control for H.264/AVC
20084
15 20087
16 200716
17
Dynamic and distributed adaptation of scalable multimedia content in a context-aware environment
20065
18
ISIS: intelligent scalability for interoperable services
20048
19 200344
20 20020

About Andreas Hutter

Andreas Hutter is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 52 papers that have together received 724 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (28 papers), Advanced Data Compression Techniques (26 papers), Advanced Vision and Imaging (15 papers), Video Surveillance and Tracking Methods (10 papers), Image and Signal Denoising Methods (8 papers), Video Analysis and Summarization (7 papers), Image and Video Quality Assessment (7 papers) and Advanced Image Processing Techniques (6 papers). The work is most often cited by research in Signal Processing (461 citations), Computer Vision and Pattern Recognition (634 citations) and Computer Networks and Communications (80 citations). Andreas Hutter has collaborated with scholars based in Germany, Austria and France. Frequent co-authors include André Kaup, Peter Amon, Xiang Li, M Wien, Sanjukta Ghosh, Hermann Hellwagner, Christian Timmerer, Harald Kosch, Walter Stechele and Jörg Heuer. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing Image Communication, IEEE Transactions on Image Processing, Journal of Visual Communication and Image Representation and IEEE Transactions on Broadcasting.

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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