Ηλίας Δρίτσας

2.3k total citations · 4 hit papers
66 papers, 1.1k citations indexed

About

Ηλίας Δρίτσας is a scholar working on Artificial Intelligence, Health Information Management and Computer Networks and Communications. According to data from OpenAlex, Ηλίας Δρίτσας has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Health Information Management and 13 papers in Computer Networks and Communications. Recurrent topics in Ηλίας Δρίτσας's work include Artificial Intelligence in Healthcare (16 papers), Machine Learning in Healthcare (6 papers) and Privacy-Preserving Technologies in Data (6 papers). Ηλίας Δρίτσας is often cited by papers focused on Artificial Intelligence in Healthcare (16 papers), Machine Learning in Healthcare (6 papers) and Privacy-Preserving Technologies in Data (6 papers). Ηλίας Δρίτσας collaborates with scholars based in Greece and Cyprus. Ηλίας Δρίτσας's co-authors include Μαρία Τρίγκα, Κωνσταντίνος Μουστάκας, Nikos Fakotakis, Otilia Kocsis, Nikos Fazakis, Phivos Mylonas, Andreas Kanavos, Christos Troussas, Christos Fidas and Ioannis E. Livieris and has published in prestigious journals such as IEEE Access, Sensors and Remote Sensing.

In The Last Decade

Ηλίας Δρίτσας

60 papers receiving 1.0k citations

Hit Papers

Stroke Risk Prediction with Machine Learning Techniques 2022 2026 2023 2024 2022 2025 2025 2025 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Stroke Risk Prediction with Machine Learning Techniques
    2022 150 citations Ηλίας Δρίτσας, Μαρία Τρίγκα Sensors profile →
  2. Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications
    2025 21 citations Ηλίας Δρίτσας, Μαρία Τρίγκα Journal of Sensor and Actuator Networks profile →
  3. Remote Sensing and Geospatial Analysis in the Big Data Era: A Survey
    2025 15 citations Ηλίας Δρίτσας, Μαρία Τρίγκα Remote Sensing profile →
  4. A Comprehensive Survey of Machine Learning Techniques and Models for Object Detection
    2025 14 citations Μαρία Τρίγκα, Ηλίας Δρίτσας Sensors profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ηλίας Δρίτσας Greece 17 515 353 152 145 107 66 1.1k
Μαρία Τρίγκα Greece 13 353 0.7× 265 0.8× 109 0.7× 112 0.8× 71 0.7× 61 824
Haohui Lu Australia 12 195 0.4× 272 0.8× 82 0.5× 69 0.5× 28 0.3× 27 836
Pronab Ghosh Bangladesh 15 395 0.8× 437 1.2× 37 0.2× 266 1.8× 78 0.7× 25 967
Javad Hassannataj Joloudari Iran 14 171 0.3× 350 1.0× 36 0.2× 187 1.3× 75 0.7× 33 811
Ahmed M. Elshewey Egypt 21 149 0.3× 308 0.9× 39 0.3× 97 0.7× 27 0.3× 56 976
Erico Tjoa Singapore 3 92 0.2× 744 2.1× 35 0.2× 211 1.5× 43 0.4× 3 1.2k
Abid Ishaq Pakistan 15 198 0.4× 287 0.8× 18 0.1× 96 0.7× 53 0.5× 24 689
Kevin S. Tickle Australia 11 294 0.6× 387 1.1× 26 0.2× 28 0.2× 71 0.7× 35 874
Taye Girma Debelee Ethiopia 17 95 0.2× 417 1.2× 45 0.3× 268 1.8× 73 0.7× 34 963
İmran Kurt Türkiye 10 124 0.2× 166 0.5× 69 0.5× 46 0.3× 78 0.7× 16 887

Countries citing papers authored by Ηλίας Δρίτσας

Since Specialization
Citations

This map shows the geographic impact of Ηλίας Δρίτσας'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 Ηλίας Δρίτσας with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ηλίας Δρίτσας more than expected).

Fields of papers citing papers by Ηλίας Δρίτσας

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ηλίας Δρίτσας. 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 Ηλίας Δρίτσας. The network helps show where Ηλίας Δρίτσας may publish in the future.

Co-authorship network of co-authors of Ηλίας Δρίτσας

This figure shows the co-authorship network connecting the top 25 collaborators of Ηλίας Δρίτσας. A scholar is included among the top collaborators of Ηλίας Δρίτσας 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 Ηλίας Δρίτσας. Ηλίας Δρίτσας is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Δρίτσας, Ηλίας & Μαρία Τρίγκα. (2025). Remote Sensing and Geospatial Analysis in the Big Data Era: A Survey. Remote Sensing. 17(3). 550–550. 15 indexed citations breakdown →
2.
Τρίγκα, Μαρία & Ηλίας Δρίτσας. (2025). A Comprehensive Survey of Machine Learning Techniques and Models for Object Detection. Sensors. 25(1). 214–214. 14 indexed citations breakdown →
3.
Δρίτσας, Ηλίας & Μαρία Τρίγκα. (2025). Applying Machine Learning on Big Data With Apache Spark. IEEE Access. 13. 53377–53393.
4.
Δρίτσας, Ηλίας & Μαρία Τρίγκα. (2025). A Survey on Cybersecurity in IoT. Future Internet. 17(1). 30–30. 11 indexed citations
5.
Δρίτσας, Ηλίας & Μαρία Τρίγκα. (2025). Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications. Journal of Sensor and Actuator Networks. 14(1). 9–9. 21 indexed citations breakdown →
6.
Δρίτσας, Ηλίας & Μαρία Τρίγκα. (2025). Machine Learning in E-Commerce: Trends, Applications, and Future Challenges. IEEE Access. 13. 99048–99067. 1 indexed citations
7.
Τρίγκα, Μαρία & Ηλίας Δρίτσας. (2025). Edge and Cloud Computing in Smart Cities. Future Internet. 17(3). 118–118. 10 indexed citations
8.
Τρίγκα, Μαρία & Ηλίας Δρίτσας. (2025). Improving Cardiovascular Disease Prediction With Deep Learning and Correlation-Aware SMOTE. IEEE Access. 13. 44590–44606. 1 indexed citations
9.
Δρίτσας, Ηλίας & Μαρία Τρίγκα. (2024). Utilizing Multi-Class Classification Methods for Automated Sleep Disorder Prediction. Information. 15(8). 426–426. 4 indexed citations
10.
Δρίτσας, Ηλίας & Μαρία Τρίγκα. (2024). Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey. Future Internet. 16(9). 324–324. 12 indexed citations
11.
Τρίγκα, Μαρία, Ηλίας Δρίτσας, & Phivos Mylonas. (2024). Eye State Classification Using Ensemble Machine Learning Models and SMOTE on EEG Data. 168–173. 1 indexed citations
12.
Δρίτσας, Ηλίας & Μαρία Τρίγκα. (2023). Supervised Machine Learning Models for Liver Disease Risk Prediction. Computers. 12(1). 19–19. 54 indexed citations
13.
Δρίτσας, Ηλίας & Μαρία Τρίγκα. (2023). Efficient Data-Driven Machine Learning Models for Water Quality Prediction. Computation. 11(2). 16–16. 40 indexed citations
14.
Τρίγκα, Μαρία, Ηλίας Δρίτσας, & Phivos Mylonas. (2023). A Multi-Class Classification Approach for Anemia Level Prediction with Machine Learning Models. 10. 1–6. 1 indexed citations
15.
Τρίγκα, Μαρία & Ηλίας Δρίτσας. (2023). Predicting the Occurrence of Metabolic Syndrome Using Machine Learning Models. Computation. 11(9). 170–170. 9 indexed citations
16.
Δρίτσας, Ηλίας & Μαρία Τρίγκα. (2022). A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images. Sensors. 22(4). 1461–1461. 5 indexed citations
17.
Τρίγκα, Μαρία & Ηλίας Δρίτσας. (2022). Non-Linear Observer Design with Laguerre Polynomials. Entropy. 24(7). 913–913.
18.
Δρίτσας, Ηλίας, et al.. (2022). Cardiovascular Disease Risk Prediction with Supervised Machine Learning Techniques. 315–321. 35 indexed citations
19.
Τρίγκα, Μαρία, Ηλίας Δρίτσας, & Κωνσταντίνος Μουστάκας. (2022). Joint Power and Contrast Shrinking in RGB Images with Exponential Smoothing. 1–5. 2 indexed citations
20.
Kocsis, Otilia, et al.. (2021). Sleep Quality Monitoring with Human Assisted Corrections. 18 indexed citations

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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