E. Micheli-Tzanakou

195 total papers · 1.1k total citations
108 papers, 703 citations indexed

About

E. Micheli-Tzanakou is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, E. Micheli-Tzanakou has authored 108 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 37 papers in Cognitive Neuroscience and 34 papers in Computer Vision and Pattern Recognition. Recurrent topics in E. Micheli-Tzanakou's work include Neural Networks and Applications (31 papers), Neural dynamics and brain function (28 papers) and Visual perception and processing mechanisms (15 papers). E. Micheli-Tzanakou is often cited by papers focused on Neural Networks and Applications (31 papers), Neural dynamics and brain function (28 papers) and Visual perception and processing mechanisms (15 papers). E. Micheli-Tzanakou collaborates with scholars based in United States, Greece and Israel. E. Micheli-Tzanakou's co-authors include Nikolaos V. Boulgouris, Konstantinos N. Plataniotis, Marios S. Pattichis, Bin Zhu, Ahmet Ademoğlu, Jennifer L. Hamilton, R. Michael Lehman, S. Sideman, Edward J. Ciaccio and G. Tzanakos and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Biomedical Engineering and Journal of Neurotrauma.

In The Last Decade

E. Micheli-Tzanakou

91 papers receiving 630 citations

Author Peers

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

Author						Papers	Cites
E. Micheli-Tzanakou	220	200	185	139	83	108	703
Sajid Saleem	152 0.7×	82 0.4×	197 1.1×	127 0.9×	53 0.6×	54	709
Adel S. El‐Fishawy	224 1.0×	189 0.9×	116 0.6×	165 1.2×	108 1.3×	86	636
Pilar Gómez‐Gil	136 0.6×	156 0.8×	173 0.9×	96 0.7×	29 0.3×	62	732
Xu Huang	166 0.8×	126 0.6×	170 0.9×	95 0.7×	100 1.2×	79	802
Daniel Tchiotsop	178 0.8×	144 0.7×	190 1.0×	67 0.5×	138 1.7×	46	778
R. Sukanesh	401 1.8×	186 0.9×	93 0.5×	85 0.6×	92 1.1×	71	870
Ali Farzamnia	81 0.4×	118 0.6×	317 1.7×	100 0.7×	90 1.1×	88	859
Jing Liu	213 1.0×	116 0.6×	122 0.7×	50 0.4×	25 0.3×	75	721
Haitao Gan	255 1.2×	351 1.8×	161 0.9×	37 0.3×	35 0.4×	76	736
Chee‐Ming Ting	145 0.7×	115 0.6×	415 2.2×	115 0.8×	84 1.0×	65	778

Countries citing papers authored by E. Micheli-Tzanakou

Since Specialization

Citations

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

Fields of papers citing papers by E. Micheli-Tzanakou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Micheli-Tzanakou. 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 E. Micheli-Tzanakou. The network helps show where E. Micheli-Tzanakou may publish in the future.

Co-authorship network of co-authors of E. Micheli-Tzanakou

This figure shows the co-authorship network connecting the top 25 collaborators of E. Micheli-Tzanakou. A scholar is included among the top collaborators of E. Micheli-Tzanakou 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 E. Micheli-Tzanakou. E. Micheli-Tzanakou 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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