Benjamin Rainer

1.2k citations
72 papers · 800 indexed · h-index 17

Impact in

Papers in

Benjamin Rainer

69 papers receiving 770 citations

Peers

Benjamin Rainer
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 370
  • Computer Networks and Communications 406
  • Signal Processing 110
  • Sensory Systems 33
  • Human-Computer Interaction 37
Replace Longhao Zou with:
Longhao Zou China
Ting Bi China
Arghir-Nicolae Moldovan Ireland
David Hands United Kingdom
Yutaka Matsushita Japan
Ahsan Arefin United States
J.P. Thomas United Kingdom
Shuji Tasaka Japan
Ioana Ghergulescu Ireland
Benjamin Rainer relative to Longhao Zou China Longhao Zou's profile →
Citations per field
00.5×9.3×
Longhao Zou · 1×
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-authorship network

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
#Work
1 20250
2 20250
3 20243
4 202310
5 20225
6 202110
7 202010
8 201816
9 20179
10 20166
11 201659
12 20144
13 201318
14 20134
15 201339
16 20134
17
Incident Detection from Cellular Network Signalling
20121
18
A seamless Web integration of adaptive HTTP streaming
201224
19 201212
20 201224

About Benjamin Rainer

Benjamin Rainer is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing, Electrical and Electronic Engineering and Computer Science Applications, having authored 72 papers that have together received 800 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (20 papers), Video Analysis and Summarization (14 papers), Millimeter-Wave Propagation and Modeling (14 papers), Caching and Content Delivery (13 papers), Multimedia Communication and Technology (13 papers), Peer-to-Peer Network Technologies (12 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 (370 citations), Computer Networks and Communications (406 citations), Signal Processing (110 citations), Sensory Systems (33 citations) and Human-Computer Interaction (37 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, Christopher Müller, Christopher Mueller, Thomas Zemen, Markus Hofer and David Löschenbrand. Their work appears in journals such as Signal Processing Image Communication, IEEE Access, ACM SIGCOMM Computer Communication Review, IEEE Journal on Selected Areas in Communications 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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