Κωνσταντίνα Κούρου
- Health Informatics top 0.5%
- Health Information Management top 0.2%
- Artificial Intelligence top 1%
- Machine Learning in Healthcare 3
- Cancer Research top 10%
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- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 7
- Biomedical Text Mining and Ontologies 5
- Machine Learning in Bioinformatics 4
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- Cancer survivorship and care 5
- Global Cancer Incidence and Screening 3
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- Family Support in Illness 4
- Co-authors
- Dimitrios I. FotiadisKonstantinos ExarchosThemis P. ExarchosMichalis V. KaramouzisCostas PapaloukasVasileios C. PezoulasAthanasios G. TzioufasSalvatore De Vita
In The Last Decade
Κωνσταντίνα Κούρου
29 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Health Informatics 153
- Health Information Management 363
- Artificial Intelligence 905
- Radiology, Nuclear Medicine and Imaging 570
- Cancer Research 235
Countries citing papers authored by Κωνσταντίνα Κούρου
This map shows the geographic impact of Κωνσταντίνα Κούρου'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 Κωνσταντίνα Κούρου with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Κωνσταντίνα Κούρου more than expected).
Fields of papers citing papers by Κωνσταντίνα Κούρου
This network shows the impact of papers produced by Κωνσταντίνα Κούρου. 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 Κωνσταντίνα Κούρου. The network helps show where Κωνσταντίνα Κούρου may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Κωνσταντίνα Κούρου, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 14 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 30 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 84 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 12 | |
| 13 | 2019 | 59 | |
| 14 | 2019 | 33 | |
| 15 | Enhancing medical data quality through data curation: a case study in primary Sjögren's syndrome. | 2019 | 5 |
| 16 | Sjögren's syndrome towards precision medicine: the challenge of harmonisation and integration of cohorts. | 2019 | 5 |
| 17 | 2018 | 15 | |
| 18 | 2016 | 4 | |
| 19 | 2015 | 3 | |
| 20 | Machine learning applications in cancer prognosis and predictionbreakdown → | 2014 | 1984 |
About Κωνσταντίνα Κούρου
Κωνσταντίνα Κούρου is a scholar working on Health Informatics, Health Information Management and Applied Psychology, having authored 31 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (7 papers), Biomedical Text Mining and Ontologies (5 papers), Cancer survivorship and care (5 papers), Machine Learning in Bioinformatics (4 papers), Family Support in Illness (4 papers), Machine Learning in Healthcare (3 papers) and Global Cancer Incidence and Screening (3 papers). The work is most often cited by research in Health Informatics (153 citations), Health Information Management (363 citations) and Artificial Intelligence (905 citations). Κωνσταντίνα Κούρου has collaborated with scholars based in Greece, Italy and Finland. Frequent co-authors include Dimitrios I. Fotiadis, Konstantinos Exarchos, Themis P. Exarchos, Michalis V. Karamouzis, Costas Papaloukas, Dimitrios I. Fotiadis, Vasileios C. Pezoulas, Athanasios G. Tzioufas, Salvatore De Vita and George Rigas. Their work appears in journals such as Scientific Reports, Biochemical Journal and Journal of Medical Internet Research.
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.