Thomas Pliakas

496 citations
21 papers · 384 · h-index 7

Impact in

Papers in

Thomas Pliakas

20 papers receiving 354 citations

Peers

Thomas Pliakas
Comparison fields: 5 of 67
  • Health Information Management 40
  • Computer Networks and Communications 192
  • Computer Vision and Pattern Recognition 145
  • Information Systems 118
  • Signal Processing 57
Replace Seoksoo Kim with:
Seoksoo Kim South Korea
Manhyung Han South Korea
Pravin Amrut Pawar Netherlands
Nanda Kumar Thanigaivelan Finland
Nancy L. Laplante United States
Michael Nidd Switzerland
José Granados China
Mrinai Maneetkumar Dhanvijay India
B. Prasanalakshmi India
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Pliakas

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Pliakas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Thomas Pliakas, 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 Thomas Pliakas Line = papers co-authored together Thomas Pliakas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010237
2 200942
3 200324
4 200714
5 20079
6 20078
7 20078
8 20077
9 20095
10 20075
11 20074
12 20073
13 20073
14 20123
15 20073
16 20073
17 20072
18 20062
19 20071
20
A tele-medicine service over satellite network.
20081

About Thomas Pliakas

Thomas Pliakas is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Electrical and Electronic Engineering and Human-Computer Interaction, having authored 21 papers that have together received 384 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (10 papers), Advanced Wireless Network Optimization (9 papers), Image and Video Quality Assessment (9 papers), Advanced Data Compression Techniques (8 papers), Network Traffic and Congestion Control (4 papers), Context-Aware Activity Recognition Systems (2 papers), Image and Signal Denoising Methods (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Health Information Management (40 citations), Computer Networks and Communications (192 citations), Computer Vision and Pattern Recognition (145 citations), Information Systems (118 citations) and Signal Processing (57 citations). Thomas Pliakas has collaborated with scholars based in Greece, Germany and Sweden. Frequent co-authors include Charalampos N. Doukas, Ilias G. Maglogiannis, George Kormentzas, Tasos Dagiuklas, Ilias Politis, Vassilios Vlahakis, Charalambos Skianis, Stavros A. Kotsopoulos, Sofia Tsekeridou and Harilaos G. Koumaras. Their work appears in journals such as European Journal of Operational Research, Journal of Multimedia, Advances in Multimedia, Lecture notes in computer science and Conference proceedings.

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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