Peter Amon

859 citations
50 papers · 667 · h-index 15

Impact in

Papers in

Peter Amon

49 papers receiving 638 citations

Peers

Peter Amon
Comparison fields: 5 of 36
  • Signal Processing 334
  • Computer Vision and Pattern Recognition 261
  • Computer Networks and Communications 137
  • Electrical and Electronic Engineering 66
  • Artificial Intelligence 34
Replace Jöern Ostermann with:
Jöern Ostermann Germany
Hadi Amirpour Austria
Sanjeev Mehrotra United States
Ya-Qin Zhang China
Teruhiko Suzuki Japan
Safak Dogan United Kingdom
Chao Zhou China
Alexander E. Mohr United States
Marko Viitanen Finland
Yili Jin China
Peter Amon relative to Jöern Ostermann Germany Jöern Ostermann's profile →
Citations per field
00.5×5×11×
Jöern Ostermann · 1×
Citations per year

Countries citing papers authored by Peter Amon

Since Specialization
Citations

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

Fields of papers citing papers by Peter Amon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200789
2 200758
3 201846
4 200745
5 200739
6 201328
7 201027
8 201325
9 201924
10 201023
11 200521
12 200920
13 201619
14 200915
15 201515
16 201712
17 201011
18 20109
19 20169
20 20088

About Peter Amon

Peter Amon is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Health Information Management, having authored 50 papers that have together received 667 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (29 papers), Video Surveillance and Tracking Methods (10 papers), Network Traffic and Congestion Control (7 papers), Advanced Neural Network Applications (6 papers), Advanced Data Compression Techniques (6 papers), Image and Video Quality Assessment (5 papers), Advanced Wireless Network Optimization (5 papers) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Signal Processing (334 citations), Computer Vision and Pattern Recognition (261 citations), Computer Networks and Communications (137 citations), Electrical and Electronic Engineering (66 citations) and Artificial Intelligence (34 citations). Peter Amon has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Andreas Hutter, André Kaup, Maria G. Martini, Xiang Li, Sanjukta T. Ghosh, Catherine Lamy–Bergot, Mathias Wien, Jyrki Huusko, David Singer and Johannes Peltola. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Communications Magazine, IEEE Transactions on Broadcasting, IEEE Transactions on Image Processing and Multimedia Tools and Applications.

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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