George Tzagkarakis

92 total papers · 844 total citations
62 papers, 533 citations indexed

About

George Tzagkarakis is a scholar working on Computational Mechanics, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, George Tzagkarakis has authored 62 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 20 papers in Signal Processing and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in George Tzagkarakis's work include Sparse and Compressive Sensing Techniques (21 papers), Blind Source Separation Techniques (10 papers) and Time Series Analysis and Forecasting (7 papers). George Tzagkarakis is often cited by papers focused on Sparse and Compressive Sensing Techniques (21 papers), Blind Source Separation Techniques (10 papers) and Time Series Analysis and Forecasting (7 papers). George Tzagkarakis collaborates with scholars based in Greece, France and United Kingdom. George Tzagkarakis's co-authors include Panagiotis Tsakalides, Maria Papadopouli, Alin Achim, Baltasar Beferull‐Lozano, Michael Taroudakis, Jean‐Luc Starck, John P. Nolan, Bruno Ringeval, Sylvain Pellerin and Alain Mollier and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

George Tzagkarakis

60 papers receiving 520 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
George Tzagkarakis	132	127	111	107	98	62	533
Hongping Gan	85 0.6×	211 1.7×	187 1.7×	84 0.8×	127 1.3×	51	540
Chunhui Ren	85 0.6×	25 0.2×	78 0.7×	74 0.7×	155 1.6×	47	611
Xingjian Zhang	71 0.5×	141 1.1×	116 1.0×	134 1.3×	47 0.5×	55	501
Feng Xi	125 0.9×	174 1.4×	55 0.5×	105 1.0×	187 1.9×	83	545
Tilo Strutz	97 0.7×	46 0.4×	199 1.8×	64 0.6×	32 0.3×	45	543
Yufeng Lu	63 0.5×	47 0.4×	100 0.9×	77 0.7×	60 0.6×	72	524
Xiaoqiang Hua	107 0.8×	51 0.4×	53 0.5×	108 1.0×	62 0.6×	45	564
Maria Trocan	70 0.5×	109 0.9×	231 2.1×	54 0.5×	51 0.5×	73	505
Bin Tan	55 0.4×	57 0.4×	126 1.1×	136 1.3×	89 0.9×	63	547
Yi Shen	105 0.8×	285 2.2×	144 1.3×	77 0.7×	164 1.7×	55	545

Countries citing papers authored by George Tzagkarakis

Since Specialization

Citations

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

Fields of papers citing papers by George Tzagkarakis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Tzagkarakis

This figure shows the co-authorship network connecting the top 25 collaborators of George Tzagkarakis. A scholar is included among the top collaborators of George Tzagkarakis 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 George Tzagkarakis. George Tzagkarakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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