Κωνσταντίνα Κούρου
About
Κωνσταντίνα Κούρου is a scholar working on Molecular Biology, Artificial Intelligence and Oncology.
According to data from OpenAlex, Κωνσταντίνα Κούρου has authored 31 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Artificial Intelligence and 8 papers in Oncology. Recurrent topics in Κωνσταντίνα Κούρου's work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (7 papers) and Biomedical Text Mining and Ontologies (5 papers). Κωνσταντίνα Κούρου is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (7 papers) and Biomedical Text Mining and Ontologies (5 papers). Κωνσταντίνα Κούρου collaborates with scholars based in Greece, Italy and Finland. Κωνσταντίνα Κούρου's 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 and has published in prestigious journals such as Scientific Reports, Biochemical Journal and Journal of Medical Internet Research.
In The Last Decade
Κωνσταντίνα Κούρου
29 papers receiving 2.2k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Κωνσταντίνα Κούρου Greece | 10 | 905 | 574 | 570 | 363 | 275 | 31 | 2.3k | ||
| Konstantinos Exarchos Greece | 11 | 880 1.0× | 619 1.1× | 600 1.1× | 372 1.0× | 270 1.0× | 35 | 2.4k | ||
| Themis P. Exarchos Greece | 19 | 1.1k 1.2× | 719 1.3× | 654 1.1× | 491 1.4× | 249 0.9× | 98 | 3.2k | ||
| Narges Razavian United States | 14 | 1.4k 1.6× | 343 0.6× | 1.2k 2.0× | 172 0.5× | 395 1.4× | 39 | 2.7k | ||
| Qingyu Chen China | 27 | 895 1.0× | 835 1.5× | 608 1.1× | 105 0.3× | 202 0.7× | 134 | 3.0k | ||
| Mattias Ohlsson Sweden | 31 | 428 0.5× | 528 0.9× | 632 1.1× | 149 0.4× | 299 1.1× | 152 | 2.9k | ||
| Yifan Peng United States | 29 | 1.2k 1.3× | 928 1.6× | 959 1.7× | 111 0.3× | 296 1.1× | 169 | 3.1k | ||
| Drew F. K. Williamson United States | 18 | 1.5k 1.6× | 372 0.6× | 1.1k 1.9× | 116 0.3× | 270 1.0× | 42 | 2.8k | ||
| Volodymyr Kuleshov United States | 13 | 1.1k 1.2× | 449 0.8× | 743 1.3× | 300 0.8× | 130 0.5× | 29 | 2.9k | ||
| Alexis B. Carter United States | 20 | 627 0.7× | 402 0.7× | 333 0.6× | 84 0.2× | 245 0.9× | 50 | 1.9k | ||
| Faisal Mahmood United States | 24 | 1.9k 2.1× | 428 0.7× | 1.3k 2.4× | 128 0.4× | 365 1.3× | 78 | 3.5k |
Countries citing papers authored by Κωνσταντίνα Κούρου
Since
Specialization
Citations
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
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
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 of co-authors of Κωνσταντίνα Κούρου
This figure shows the co-authorship network connecting the top 25 collaborators of Κωνσταντίνα Κούρου. A scholar is included among the top collaborators of Κωνσταντίνα Κούρου 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 Κωνσταντίνα Κούρου. Κωνσταντίνα Κούρου is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Iosif, Ana‐Maria, Κωνσταντίνα Κούρου, Myrto Costopoulos, et al.. (2025). A machine-learning approach for pancreatic neoplasia classification based on plasma extracellular vesicles. Frontiers in Oncology. 15. 1540195–1540195.
2.
Poikonen‐Saksela, Paula, Evangelos C. Karademas, Leena Vehmanen, et al.. (2024). Digital Self‐Management Intervention Paths for Early Breast Cancer Patients: Results of a Pilot Study. The Breast Journal. 2024(1). 8036696–8036696.
3.
Κούρου, Κωνσταντίνα, Georgios C. Manikis, Eugenia Mylona, et al.. (2023). Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study. Scientific Reports. 13(1). 7059–7059.
4.
Manikis, Georgios C., N. Simos, Κωνσταντίνα Κούρου, et al.. (2023). Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning–Driven Clinical Decision Support Tool. Journal of Medical Internet Research. 25. e43838–e43838.
5.
Mylona, Eugenia, Κωνσταντίνα Κούρου, Georgios C. Manikis, et al.. (2022). Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 4. 69–72.
6.
Κούρου, Κωνσταντίνα, et al.. (2022). Comparison of High-Throughput Technologies in the Classification of Adult-Onset Still's Disease Patients. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 77–80.
7.
Mylona, Eugenia, Κωνσταντίνα Κούρου, Georgios C. Manikis, et al.. (2022). Explainable machine learning analysis of longitudinal mental health trajectories after breast cancer diagnosis. 28. 1–4.
8.
Κούρου, Κωνσταντίνα, Georgios C. Manikis, Paula Poikonen‐Saksela, et al.. (2021). A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effects. Computers in Biology and Medicine. 131. 104266–104266.
9.
Pezoulas, Vasileios C., Κωνσταντίνα Κούρου, Costas Papaloukas, et al.. (2021). A Multimodal Approach for the Risk Prediction of Intensive Care and Mortality in Patients with COVID-19. Diagnostics. 12(1). 56–56.
10.
Pezoulas, Vasileios C., Κωνσταντίνα Κούρου, Eugenia Mylona, et al.. (2021). ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints. Computers in Biology and Medicine. 141. 105176–105176.
11.
Κούρου, Κωνσταντίνα, Vasileios C. Pezoulas, Eleni I. Georga, et al.. (2020). Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sjögren's Syndrome Patients. IEEE Open Journal of Engineering in Medicine and Biology. 1. 49–56.
12.
Pezoulas, Vasileios C., Κωνσταντίνα Κούρου, Fanis Kalatzis, et al.. (2020). Overcoming the Barriers That Obscure the Interlinking and Analysis of Clinical Data Through Harmonization and Incremental Learning. IEEE Open Journal of Engineering in Medicine and Biology. 1. 83–90.
13.
Pezoulas, Vasileios C., Κωνσταντίνα Κούρου, Fanis Kalatzis, et al.. (2019). Medical data quality assessment: On the development of an automated framework for medical data curation. Computers in Biology and Medicine. 107. 270–283.
14.
Κούρου, Κωνσταντίνα, et al.. (2019). Cancer classification from time series microarray data through regulatory Dynamic Bayesian Networks. Computers in Biology and Medicine. 116. 103577–103577.
15.
Pezoulas, Vasileios C., Κωνσταντίνα Κούρου, Fanis Kalatzis, et al.. (2019). Enhancing medical data quality through data curation: a case study in primary Sjögren's syndrome.. PubMed. 37 Suppl 118(3). 90–96.
16.
Κούρου, Κωνσταντίνα, Vasileios C. Pezoulas, Eleni I. Georga, et al.. (2018). Cohort Harmonization and Integrative Analysis From a Biomedical Engineering Perspective. IEEE Reviews in Biomedical Engineering. 12. 303–318.
17.
Κούρου, Κωνσταντίνα, George Rigas, Konstantinos Exarchos, et al.. (2016). Prediction of time dependent survival in HF patients after VAD implantation using pre- and post-operative data. Computers in Biology and Medicine. 70. 99–105.
18.
Κούρου, Κωνσταντίνα, Costas Papaloukas, & Dimitrios I. Fotiadis. (2016). Integration of Pathway Knowledge and Dynamic Bayesian Networks for the Prediction of Oral Cancer Recurrence. IEEE Journal of Biomedical and Health Informatics. 21(2). 320–327.
19.
Κούρου, Κωνσταντίνα, Costas Papaloukas, & Dimitrios I. Fotiadis. (2016). Gene-based pathway enrichment analysis of oral squamous cell carcinoma patients. 360–363.
20.
Κούρου, Κωνσταντίνα, Konstantinos Exarchos, Costas Papaloukas, & Dimitrios I. Fotiadis. (2015). A Bayesian Network-based approach for discovering oral cancer candidate biomarkers. PubMed. 2015. 7663–7666.
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.
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