Sofia Ira Ktena
Impact in
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Autism Spectrum Disorder Research
- Health Informatics top 5%
Papers in
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- Functional Brain Connectivity Studies 9
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- Advanced Graph Neural Networks 4
- Co-authors
- Daniel Rueckert (11 shared papers)Sarah Parisot (9 shared papers)Ben Glocker (7 shared papers)Enzo Ferrante (6 shared papers)Matthew Lee (4 shared papers)Ricardo Guerrero (1 shared paper)Martin Rajchl (2 shared papers)Salim Arslan (4 shared papers)
- Journals
- NeuroImage (3 papers)Nature Medicine (1 paper)Dermatology (1 paper)Stroke (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Sofia Ira Ktena
22 papers receiving 1.6k citations
Sofia Ira Ktena's Hit Papers
Peers
Comparison fields: 5 of 112
- Cognitive Neuroscience 888
- Health Informatics 34
- Radiology, Nuclear Medicine and Imaging 399
- Neurology 143
- Psychiatry and Mental health 177
Countries citing papers authored by Sofia Ira Ktena
This map shows the geographic impact of Sofia Ira Ktena'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 Sofia Ira Ktena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Ira Ktena more than expected).
Fields of papers citing papers by Sofia Ira Ktena
This network shows the impact of papers produced by Sofia Ira Ktena. 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 Sofia Ira Ktena. The network helps show where Sofia Ira Ktena may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofia Ira Ktena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease Hit paper breakdown → | 2018 | 506 |
| 2 | 2017 | 277 | |
| 3 | 2017 | 250 | |
| 4 | 2017 | 152 | |
| 5 | 2017 | 117 | |
| 6 | Generative models improve fairness of medical classifiers under distribution shifts Hit paper breakdown → | 2024 | 71 |
| 7 | 2015 | 36 | |
| 8 | 2018 | 36 | |
| 9 | 2019 | 33 | |
| 10 | 2020 | 26 | |
| 11 | 2019 | 18 | |
| 12 | 2020 | 18 | |
| 13 | 2021 | 15 | |
| 14 | 2019 | 12 | |
| 15 | 2017 | 11 | |
| 16 | 2020 | 8 | |
| 17 | 2017 | 5 | |
| 18 | 2023 | 4 | |
| 19 | Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline | 2020 | 3 |
| 20 | Spectral Graph Convolutions on Population Graphs for Disease Prediction | 2017 | 2 |
About Sofia Ira Ktena
Sofia Ira Ktena is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Advanced Graph Neural Networks (4 papers), Bioinformatics and Genomic Networks (4 papers), Advanced MRI Techniques and Applications (4 papers), Health, Environment, Cognitive Aging (4 papers), Brain Tumor Detection and Classification (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (888 citations), Health Informatics (34 citations), Radiology, Nuclear Medicine and Imaging (399 citations), Neurology (143 citations) and Psychiatry and Mental health (177 citations). Sofia Ira Ktena has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Daniel Rueckert, Sarah Parisot, Ben Glocker, Enzo Ferrante, Matthew Lee, Ricardo Guerrero, Martin Rajchl, Salim Arslan, Antonios Makropoulos and Emma C. Robinson. Their work appears in journals such as NeuroImage, Nature Medicine, Dermatology, Stroke and Medical Image Analysis.
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.