Nicos Maglaveras

8.6k total citations · 4 hit papers
308 papers, 5.3k citations indexed

About

Nicos Maglaveras is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Nicos Maglaveras has authored 308 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Cardiology and Cardiovascular Medicine, 45 papers in Computer Vision and Pattern Recognition and 39 papers in Molecular Biology. Recurrent topics in Nicos Maglaveras's work include ECG Monitoring and Analysis (37 papers), Mobile Health and mHealth Applications (28 papers) and Cardiac electrophysiology and arrhythmias (26 papers). Nicos Maglaveras is often cited by papers focused on ECG Monitoring and Analysis (37 papers), Mobile Health and mHealth Applications (28 papers) and Cardiac electrophysiology and arrhythmias (26 papers). Nicos Maglaveras collaborates with scholars based in Greece, United States and Portugal. Nicos Maglaveras's co-authors include Ioanna Chouvarda, Kostas Haris, Aggelos K. Katsaggelos, S.N. Efstratiadis, Ioannis Vlahavas, Ioannis Kavakiotis, Athanasios Salifoglou, O. Tsave, C. Pappas and T. Stamkopoulos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Nicos Maglaveras

291 papers receiving 5.0k citations

Hit Papers

align trajectories

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.

Machine Learning and Data Mining Methods in Diabetes Research

2017 849 citations Nicos Maglaveras, Ioanna Chouvarda et al. profile →
Hybrid image segmentation using watersheds and fast region merging

1998 519 citations Kostas Haris, Nicos Maglaveras et al. profile →
Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets

2020 236 citations Γεώργιος Πετμεζάς, Kostas Haris et al. profile →
Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function

2022 99 citations Γεώργιος Πετμεζάς, Grigorios‐Aris Cheimariotis et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicos Maglaveras Greece	30	1.3k	875	861	789	766	308	5.3k
Ioanna Chouvarda Greece	27	665 0.5×	639 0.7×	709 0.8×	223 0.3×	599 0.8×	210	3.7k
Constantinos S. Pattichis Cyprus	43	1.4k 1.1×	1.0k 1.2×	310 0.4×	1.6k 2.1×	1.4k 1.8×	354	6.4k
Dimitrios I. Fotiadis Greece	32	1.1k 0.8×	747 0.9×	446 0.5×	325 0.4×	380 0.5×	269	4.2k
Giuseppe De Pietro Italy	32	509 0.4×	1.7k 1.9×	400 0.5×	698 0.9×	210 0.3×	211	4.4k
Parisa Rashidi United States	32	582 0.5×	1.6k 1.8×	513 0.6×	2.0k 2.5×	213 0.3×	144	6.3k
David A. Clifton United Kingdom	42	1.9k 1.5×	2.2k 2.5×	365 0.4×	568 0.7×	373 0.5×	250	7.7k
Benjamin Moody United States	12	2.0k 1.6×	3.5k 4.0×	987 1.1×	253 0.3×	814 1.1×	19	7.8k
Mengling Feng Singapore	27	1.1k 0.8×	3.5k 4.0×	928 1.1×	320 0.4×	552 0.7×	131	7.0k
Konstantina S. Nikita Greece	42	785 0.6×	866 1.0×	406 0.5×	812 1.0×	820 1.1×	338	6.5k
Roohallah Alizadehsani Australia	42	850 0.7×	1.9k 2.2×	1.2k 1.4×	576 0.7×	226 0.3×	169	5.5k

Countries citing papers authored by Nicos Maglaveras

Since Specialization

Citations

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

Fields of papers citing papers by Nicos Maglaveras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicos Maglaveras

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tegos, Sotiris A., Panagiotis Sarigiannidis, Christos Chatzakis, et al.. (2025). Healthcare Industry 5.0: Pareto-Optimal IoT-Based Health Monitoring With Federated Learning. IEEE Internet of Things Journal. 12(13). 24215–24229. 3 indexed citations

Πετμεζάς, Γεώργιος, et al.. (2025). Automated HFrEF Diagnosis Using an Optimized TimeSformer Model in Echocardiography. Journal of Imaging Informatics in Medicine.

Stefanopoulos, Leandros, John P. Sheppard, Nicos Maglaveras, et al.. (2024). Discrete, recurrent, and scalable patterns in non-operant judgement underlie affective picture ratings. Cognitive Processing. 26(2). 257–281.

Πετμεζάς, Γεώργιος, et al.. (2024). Recent advancements and applications of deep learning in heart failure: Α systematic review. Computers in Biology and Medicine. 176. 108557–108557. 18 indexed citations

Πετμεζάς, Γεώργιος, Bruno Rocha, Leandros Stefanopoulos, et al.. (2023). Pediatric Respiratory Sound Classification Using a Dual Input Deep Learning Architecture. 1–5. 9 indexed citations

Πετμεζάς, Γεώργιος, Grigorios‐Aris Cheimariotis, Leandros Stefanopoulos, et al.. (2022). Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function. Sensors. 22(3). 1232–1232. 99 indexed citations breakdown →

Filis, Konstantinos, Eleni Theodoropoulou, Youla Karavidopoulou, et al.. (2021). Evaluation of the BigO system in a clinical setting in Greece. 94. 1 indexed citations

Filos, Dimitris, Irini Lekka, Vassilis Kilintzis, et al.. (2021). Exploring Associations Between Children’s Obesogenic Behaviors and the Local Environment Using Big Data: Development and Evaluation of the Obesity Prevention Dashboard. JMIR mhealth and uhealth. 9(7). e26290–e26290. 11 indexed citations

Haris, Kostas, B Vogt, Grigorios‐Aris Cheimariotis, et al.. (2021). Identification and analysis of stable breathing periods in electrical impedance tomography recordings. Physiological Measurement. 42(6). 64003–64003. 7 indexed citations

10.

Moschonis, George, Yannis Μanios, Ioannis Ioakimidis, et al.. (2020). Novel e-Health Applications for the Management of Cardiometabolic Risk Factors in Children and Adolescents in Greece. Nutrients. 12(5). 1380–1380. 17 indexed citations

11.

Chatzistamatiou, Κimon, Theodoros Moysiadis, Εkaterini Chatzaki, et al.. (2018). Cigarette Smoking Promotes Infection of Cervical Cells by High-Risk Human Papillomaviruses, but not Subsequent E7 Oncoprotein Expression. International Journal of Molecular Sciences. 19(2). 422–422. 11 indexed citations

12.

Triantafyllidis, Andreas, Dimitris Filos, Roselien Buys, et al.. (2018). Computerized decision support for beneficial home-based exercise rehabilitation in patients with cardiovascular disease. Computer Methods and Programs in Biomedicine. 162. 1–10. 20 indexed citations

13.

Cheimariotis, Grigorios‐Aris, Kostas Haris, Anthony H. Aletras, et al.. (2017). Automatic lung segmentation in functional SPECT images using active shape models trained on reference lung shapes from CT. Annals of Nuclear Medicine. 32(2). 94–104. 9 indexed citations

14.

Papaioannou, Vasilios, et al.. (2013). Temperature multiscale entropy analysis: a promising marker for early prediction of mortality in septic patients. Physiological Measurement. 34(11). 1449–1466. 20 indexed citations

15.

Malousi, Andigoni, et al.. (2011). Human Epigenome Data Reveal Increased CpG Methylation in Alternatively Spliced Sites and Putative Exonic Splicing Enhancers. DNA and Cell Biology. 30(5). 267–275. 61 indexed citations

16.

Kouidou, Sofia, Andigoni Malousi, & Nicos Maglaveras. (2009). Li–Fraumeni and Li–Fraumeni‐like syndrome mutations in p53 are associated with exonic methylation and splicing regulatory elements. Molecular Carcinogenesis. 48(10). 895–902. 12 indexed citations

17.

Maglaveras, Nicos, Irini Lekka, Evangelos Bekiaris, et al.. (2006). SENSATION remote monitoring system for enabling the "anytime, anywhere" monitoring of patients with selected sleep disorders. PubMed. 2006. 3869–3872. 5 indexed citations

18.

Bratsas, Charalampos, et al.. (2005). An internet application to manage an OWL ontology for medical computational problem solving. Technology and Health Care. 13(5). 365–366.

19.

Maglaveras, Nicos, et al.. (2001). A Neural Network Approach in Diabetes Management by Insulin Administration. Journal of Medical Systems. 25(2). 119–131. 24 indexed citations

20.

Maglaveras, Nicos, et al.. (1970). Large Scale Modelling Of Two-dimensional Cardiac Tissue Using Parallel Methods. WIT transactions on biomedicine and health. 1.

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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