Athanasios P. Liavas

1.2k citations
41 papers · 931 · h-index 13

Impact in

Papers in

Athanasios P. Liavas

39 papers receiving 881 citations

Peers

Athanasios P. Liavas
Comparison fields: 5 of 77
  • Computational Mathematics 183
  • Signal Processing 404
  • Computational Mechanics 271
  • Computer Networks and Communications 141
  • Cognitive Neuroscience 99
Replace Nguyen Linh Trung with:
Nguyen Linh Trung Vietnam
Phillip A. Regalia United States
Xiao‐Feng Gong China
Xi-Lin Li United States
V. Koivunen Finland
A. Venetsanopoulos Canada
P.A. Regalia France
Vicente Zarzoso France
Panos P. Markopoulos United States
Eleftherios Kofidis Greece
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Citations per field
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Citations per year

Countries citing papers authored by Athanasios P. Liavas

Since Specialization
Citations

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

Fields of papers citing papers by Athanasios P. Liavas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Athanasios P. Liavas. 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 Athanasios P. Liavas. The network helps show where Athanasios P. Liavas may publish in the future.

Co-authors

The 18 scholars most cited alongside Athanasios P. Liavas, 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 Athanasios P. Liavas Line = papers co-authored together Athanasios P. Liavas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001139
2 2016131
3 1999111
4 201588
5 200165
6 200556
7 199845
8 201037
9 199935
10 199935
11 199834
12 201730
13 200027
14 200210
15 20098
16 20177
17 20027
18 20077
19 20007
20 20155

About Athanasios P. Liavas

Athanasios P. Liavas is a scholar working on Computational Mathematics, Signal Processing, Computational Mechanics, Computational Theory and Mathematics and Cognitive Neuroscience, having authored 41 papers that have together received 931 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (13 papers), Tensor decomposition and applications (10 papers), Advanced Adaptive Filtering Techniques (10 papers), Advanced Wireless Communication Techniques (9 papers), Speech and Audio Processing (8 papers), Matrix Theory and Algorithms (7 papers), Neural dynamics and brain function (6 papers) and Sparse and Compressive Sensing Techniques (6 papers). The work is most often cited by research in Computational Mathematics (183 citations), Signal Processing (404 citations), Computational Mechanics (271 citations), Computer Networks and Communications (141 citations) and Cognitive Neuroscience (99 citations). Athanasios P. Liavas has collaborated with scholars based in Greece, United States and France. Frequent co-authors include P.A. Regalia, Nicholas D. Sidiropoulos, Jean-Pierre Delmas, Kejun Huang, George N. Karystinos, Costas L. Papaloukas, D.I. Fotiadis, Aristidis C. Likas, LK Michalis and Peter Husár. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, IEEE Transactions on Information Theory, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Communications.

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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