Eirina Bourtsoulatze

17 papers receiving 1.1k citations

Hit Papers

Deep Joint Source-Channel Coding for Wireless Image Trans...20192026202120232019200400600

Peers

Eirina Bourtsoulatze
Comparison fields: 5 of 60
  • Artificial Intelligence 463
  • Electrical and Electronic Engineering 438
  • Computer Vision and Pattern Recognition 359
  • Computer Networks and Communications 285
  • Signal Processing 115
Replace Maurizio Martina with:
Maurizio Martina Italy
Mostafa El‐Khamy United States
Yingyan Lin United States
John Glossner United States
Bert Moons Belgium
Xiaohua Li United States
Paul N. Whatmough United States
Li Shang China
Kyuyeon Hwang South Korea
Zhenman Fang Canada
Eirina Bourtsoulatze relative to Maurizio Martina Italy Maurizio Martina's profile →
Citations per field
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Maurizio Martina · 1×
Citations per year

Countries citing papers authored by Eirina Bourtsoulatze

Since Specialization
Citations

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

Fields of papers citing papers by Eirina Bourtsoulatze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eirina Bourtsoulatze

This figure shows the co-authorship network connecting the top 25 collaborators of Eirina Bourtsoulatze. A scholar is included among the top collaborators of Eirina Bourtsoulatze based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eirina Bourtsoulatze. Eirina Bourtsoulatze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 2
3 1
4 96
5
Deep Joint Source-Channel Coding for Wireless Image Transmissionbreakdown →
736
6
Deep-learning based precoding techniques for next-generation video compression
1
7 97
8 70
9 11
10 35
11 12
12 24
13 2
14 1
15 4
16 1
17 3

About Eirina Bourtsoulatze

Eirina Bourtsoulatze is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (7 papers), Caching and Content Delivery (6 papers) and Advanced Data Compression Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (359 citations), Artificial Intelligence (463 citations) and Computer Networks and Communications (285 citations). Eirina Bourtsoulatze has collaborated with scholars based in United Kingdom and Switzerland. Frequent co-authors include David Burth Kurka, Denız Gündüz, Yiannis Andreopoulos, Yin Bi, Aaron Chadha, Nikolaos Thomos, Torsten Braun, Pascal Frossard, Mohammad Amin Jarrahi and Vahid Abolghasemi. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Communications and IEEE Transactions on Multimedia.

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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