John Cosmas

2.9k citations
189 papers · 1.9k indexed · h-index 23

John Cosmas

178 papers receiving 1.8k citations

Peers

John Cosmas
Comparison fields: 5 of 125
  • Computer Networks and Communications 736
  • Media Technology 208
  • Electrical and Electronic Engineering 1.1k
  • Computer Vision and Pattern Recognition 300
  • Signal Processing 148
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Boon‐Chong Seet New Zealand
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AbdulMalik S. Al‐Salman Saudi Arabia
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Zongkai Yang China
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Countries citing papers authored by John Cosmas

Since Specialization
Citations

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

Fields of papers citing papers by John Cosmas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202040
2 201912
3 201928
4 201828
5
Radiation pattern shaping for broadcasting collinear antenna array using Invasive Weed Optimization
20170
6 201525
7 201432
8 20149
9 201412
10 20132
11 20126
12 201018
13
Semi-hierarchical based motion estimation algorithm for the Dirac video encoder
20085
14 20082
15 200817
16 200820
17 200721
18 20070
19 20063
20 200624

About John Cosmas

John Cosmas is a scholar working on Computer Networks and Communications, Media Technology, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 189 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (38 papers), Cooperative Communication and Network Coding (30 papers), Advanced Wireless Communication Techniques (29 papers), Multimedia Communication and Technology (24 papers), Telecommunications and Broadcasting Technologies (23 papers), Wireless Communication Networks Research (20 papers), Advanced Wireless Network Optimization (19 papers) and Video Coding and Compression Technologies (16 papers). The work is most often cited by research in Computer Networks and Communications (736 citations), Media Technology (208 citations), Electrical and Electronic Engineering (1.1k citations), Computer Vision and Pattern Recognition (300 citations) and Signal Processing (148 citations). John Cosmas has collaborated with scholars based in United Kingdom, Greece and Italy. Frequent co-authors include Pavlos I. Lazaridis, Zaharias D. Zaharis, Emmanuel Tsekleves, Anwer Al‐Dulaimi, Saba Al–Rubaye, Amar Aggoun, Giuseppe Araniti, Yue Zhang, Jonathan Loo and Antonino Orsino. Their work appears in journals such as IEEE Transactions on Broadcasting, Electronics Letters, International Journal of Mobile Communications, International Journal of Services and Standards and Signal Processing Image Communication.

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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