Polyxeni Gkontra
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Biomedical Engineering
- Health Informatics top 1%
- Co-authors
- Karim LekadirSteffen E. PetersenAkis LinardosKaisar KushibarZahra Raisi‐EstabraghAhmed SalihPetia RadevaIlaria Boscolo Galazzo
- Topics
- Radiomics and Machine Learning in Medical Imaging (7 papers)Medical Image Segmentation Techniques (5 papers)Cardiac Imaging and Diagnostics (5 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingCardiology and Cardiovascular Medicine
- Partner nations
- SpainUnited KingdomGreece
In The Last Decade
Polyxeni Gkontra
29 papers receiving 605 citations
Peers
Comparison fields: 5 of 99
- Radiology, Nuclear Medicine and Imaging 240
- Artificial Intelligence 157
- Cardiology and Cardiovascular Medicine 144
- Biomedical Engineering 102
- Health Informatics 94
Countries citing papers authored by Polyxeni Gkontra
This map shows the geographic impact of Polyxeni Gkontra'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 Polyxeni Gkontra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Polyxeni Gkontra more than expected).
Fields of papers citing papers by Polyxeni Gkontra
This network shows the impact of papers produced by Polyxeni Gkontra. 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 Polyxeni Gkontra. The network helps show where Polyxeni Gkontra may publish in the future.
Co-authorship network of co-authors of Polyxeni Gkontra
This figure shows the co-authorship network connecting the top 25 collaborators of Polyxeni Gkontra. A scholar is included among the top collaborators of Polyxeni Gkontra 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 Polyxeni Gkontra. Polyxeni Gkontra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 40 | |
| 8 | 20 | |
| 9 | 66 | |
| 10 | 19 | |
| 11 | 57 | |
| 12 | 13 | |
| 13 | 19 | |
| 14 | 21 | |
| 15 | 62 | |
| 16 | 21 | |
| 17 | 9 | |
| 18 | 18 | |
| 19 | 13 | |
| 20 | 2 |
About Polyxeni Gkontra
Polyxeni Gkontra is a scholar working on Health Informatics, Health Information Management and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 616 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Image Segmentation Techniques (5 papers) and Cardiac Imaging and Diagnostics (5 papers). The work is most often cited by research in Health Informatics (94 citations), Radiology, Nuclear Medicine and Imaging (240 citations) and Cardiology and Cardiovascular Medicine (144 citations). Polyxeni Gkontra has collaborated with scholars based in Spain, United Kingdom and Greece. Frequent co-authors include Karim Lekadir, Steffen E. Petersen, Akis Linardos, Kaisar Kushibar, Zahra Raisi‐Estabragh, Ahmed Salih, Petia Radeva, Ilaria Boscolo Galazzo, Seán Walsh and Cristian Izquierdo. Their work appears in journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and eLife.
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.