E. Micheli-Tzanakou
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Signal Processing top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Konstantinos N. PlataniotisNikolaos V. BoulgourisMarios S. PattichisBin ZhuAhmet AdemoğluJennifer L. HamiltonR. Michael LehmanS. Sideman
- Topics
- Neural Networks and Applications (31 papers)Neural dynamics and brain function (28 papers)Visual perception and processing mechanisms (15 papers)
- Partner nations
- United StatesGreeceLebanon
In The Last Decade
E. Micheli-Tzanakou
91 papers receiving 630 citations
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 219
- Artificial Intelligence 200
- Cognitive Neuroscience 185
- Signal Processing 139
- Radiology, Nuclear Medicine and Imaging 83
Countries citing papers authored by E. Micheli-Tzanakou
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Study of the precision of a 3-D image registration technique using 3-D PET brain simulated images | 0 |
| 3 | 1 | |
| 4 | 53 | |
| 5 | 1 | |
| 6 | Supervised and unsupervised pattern recognition: feature extraction and computational intelligence | 81 |
| 7 | 6 | |
| 8 | Fuzzy neural networks | 1 |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 15 | |
| 12 | 4 | |
| 13 | 47 | |
| 14 | 4 | |
| 15 | 16 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | An Adaptive Algorithm In Neural Networks | 1 |
| 20 | 9 |
About E. Micheli-Tzanakou
E. Micheli-Tzanakou is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition, having authored 108 papers that have together received 702 indexed citations. Recurring topics across this work include Neural Networks and Applications (31 papers), Neural dynamics and brain function (28 papers) and Visual perception and processing mechanisms (15 papers). The work is most often cited by research in Signal Processing (139 citations), Computer Vision and Pattern Recognition (219 citations) and Cognitive Neuroscience (185 citations). E. Micheli-Tzanakou has collaborated with scholars based in United States, Greece and Lebanon. Frequent co-authors include Konstantinos N. Plataniotis, Nikolaos V. Boulgouris, Marios S. Pattichis, Bin Zhu, Ahmet Ademoğlu, Jennifer L. Hamilton, R. Michael Lehman, S. Sideman, Edward J. Ciaccio and G. Tzanakos. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Biomedical Engineering and Journal of Neurotrauma.
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.