Benjamin Rainer

1.2k citations
80 papers · 930 · h-index 18

Impact in

Papers in

Benjamin Rainer

78 papers receiving 887 citations

Peers

Benjamin Rainer
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 427
  • Computer Networks and Communications 457
  • Signal Processing 129
  • Sensory Systems 45
  • Human-Computer Interaction 50
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Zhenhui Yuan United Kingdom
Longhao Zou China
Ting Bi China
Kuan‐Ta Chen Taiwan
Arghir-Nicolae Moldovan Ireland
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Rainer

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Rainer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201661
2 201257
3 201357
4 201648
5 201245
6 201342
7 201230
8
A seamless Web integration of adaptive HTTP streaming
201226
9 201426
10 201223
11 201623
12 201323
13 201422
14 201322
15 201620
16 201418
17 202118
18 201817
19 201216
20 201216

About Benjamin Rainer

Benjamin Rainer is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Sociology and Political Science and Signal Processing, having authored 80 papers that have together received 930 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (22 papers), Multimedia Communication and Technology (15 papers), Video Analysis and Summarization (15 papers), Millimeter-Wave Propagation and Modeling (14 papers), Caching and Content Delivery (13 papers), Peer-to-Peer Network Technologies (13 papers), Vehicular Ad Hoc Networks (VANETs) (11 papers) and Advanced MIMO Systems Optimization (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (427 citations), Computer Networks and Communications (457 citations), Signal Processing (129 citations), Sensory Systems (45 citations) and Human-Computer Interaction (50 citations). Benjamin Rainer has collaborated with scholars based in Austria, China and United States. Frequent co-authors include Christian Timmerer, Hermann Hellwagner, Markus Waltl, Stefan Lederer, Stefan Petscharnig, Stefan Raß, Christopher Müller, Thomas Zemen, Christopher Mueller and Markus Hofer. Their work appears in journals such as IEEE Access, Signal Processing Image Communication, IEEE Journal on Selected Areas in Communications, ACM Transactions on Multimedia Computing Communications and Applications and IEEE Transactions on Circuits and Systems for Video Technology.

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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