Standout Papers

Stroke Risk Prediction with Machine Learning Techniques 2022 2026 2023 202493
  1. Stroke Risk Prediction with Machine Learning Techniques (2022)
    Ηλίας Δρίτσας, Μαρία Τρίγκα Sensors
  2. Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications (2025)
    Ηλίας Δρίτσας, Μαρία Τρίγκα Journal of Sensor and Actuator Networks

Immediate Impact

10 standout
Sub-graph 1 of 5

Citing Papers

Association between triglyceride-glucose related indices and all-cause and cardiovascular mortality among the population with cardiovascular-kidney-metabolic syndrome stage 0–3: a cohort study
2025 Standout
A comprehensive and systematic literature review on intrusion detection systems in the internet of medical things: current status, challenges, and opportunities
2025 Standout
2 intermediate papers

Works of Μαρία Τρίγκα being referenced

Machine Learning Methods for Hypercholesterolemia Long-Term Risk Prediction
2022
Machine Learning Techniques for Chronic Kidney Disease Risk Prediction
2022

Author Peers

Author Last Decade Papers Cites
Μαρία Τρίγκα 197 236 39 81 45 505
Ηλίας Δρίτσας 225 270 41 84 41 544
Abid Ishaq 226 151 41 16 23 522
Ayush Goyal 102 54 52 31 36 497
Hamid Saadatfar 170 94 73 19 28 433
Zahraa Tarek 150 69 28 14 30 501
Muhammad Farhan Khan 196 86 65 20 32 423
Debahuti Mishra 167 67 27 8 51 478
Darryl N. Davis 248 111 26 18 36 542
Omar M. Elzeki 154 57 92 10 16 490
Han Yuan 182 60 27 21 48 526

All Works

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Rankless by CCL
2026