M. Pantziaris
- Computer Vision and Pattern Recognition top 1%
- Pulmonary and Respiratory Medicine top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Media Technology top 1%
- Co-authors
- Constantinos S. PattichisChristos P. LoizouAndrew NicolaidesChristina ChristodoulouIoannis SeimenisTheodosis TyllisR.S.H. IstepanianMarios S. Pattichis
- Topics
- Cerebrovascular and Carotid Artery Diseases (27 papers)Cardiovascular Health and Disease Prevention (27 papers)Image and Signal Denoising Methods (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyCardiology and Cardiovascular Medicine
- Partner nations
- CyprusUnited StatesUnited Kingdom
In The Last Decade
M. Pantziaris
56 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 784
- Pulmonary and Respiratory Medicine 704
- Cardiology and Cardiovascular Medicine 692
- Radiology, Nuclear Medicine and Imaging 480
- Media Technology 264
Countries citing papers authored by M. Pantziaris
This map shows the geographic impact of M. Pantziaris'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 M. Pantziaris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Pantziaris more than expected).
Fields of papers citing papers by M. Pantziaris
This network shows the impact of papers produced by M. Pantziaris. 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 M. Pantziaris. The network helps show where M. Pantziaris may publish in the future.
Co-authorship network of co-authors of M. Pantziaris
This figure shows the co-authorship network connecting the top 25 collaborators of M. Pantziaris. A scholar is included among the top collaborators of M. Pantziaris 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 M. Pantziaris. M. Pantziaris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 16 | |
| 3 | 22 | |
| 4 | 11 | |
| 5 | 35 | |
| 6 | 51 | |
| 7 | 15 | |
| 8 | 14 | |
| 9 | 49 | |
| 10 | 74 | |
| 11 | 21 | |
| 12 | 7 | |
| 13 | 41 | |
| 14 | 57 | |
| 15 | 2 | |
| 16 | 82 | |
| 17 | 166 | |
| 18 | 232 | |
| 19 | Atherosclerotic carotid plaque segmentation | 2 |
| 20 | 223 |
About M. Pantziaris
M. Pantziaris is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (27 papers), Cardiovascular Health and Disease Prevention (27 papers) and Image and Signal Denoising Methods (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (784 citations), Media Technology (264 citations) and Cardiology and Cardiovascular Medicine (692 citations). M. Pantziaris has collaborated with scholars based in Cyprus, United States and United Kingdom. Frequent co-authors include Constantinos S. Pattichis, Christos P. Loizou, Andrew Nicolaides, Christina Christodoulou, Ioannis Seimenis, Theodosis Tyllis, R.S.H. Istepanian, Marios S. Pattichis, Styliani Petroudi and Takis Kasparis. Their work appears in journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.
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.