Leandros Stefanopoulos

951 total citations · 2 hit papers
30 papers, 580 citations indexed

About

Leandros Stefanopoulos is a scholar working on Surgery, Experimental and Cognitive Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Leandros Stefanopoulos has authored 30 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Experimental and Cognitive Psychology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Leandros Stefanopoulos's work include Mental Health Research Topics (6 papers), COVID-19 and Mental Health (4 papers) and Phonocardiography and Auscultation Techniques (4 papers). Leandros Stefanopoulos is often cited by papers focused on Mental Health Research Topics (6 papers), COVID-19 and Mental Health (4 papers) and Phonocardiography and Auscultation Techniques (4 papers). Leandros Stefanopoulos collaborates with scholars based in Greece, United States and United Kingdom. Leandros Stefanopoulos's co-authors include Nicos Maglaveras, Aggelos K. Katsaggelos, Γεώργιος Πετμεζάς, Vassilis Kilintzis, Andreas Tzavelis, John A. Rogers, Kostas Haris, Rui Pedro Paiva, Bruno Rocha and Grigorios‐Aris Cheimariotis and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Expert Systems with Applications.

In The Last Decade

Leandros Stefanopoulos

29 papers receiving 562 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.

Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets

2020 236 citations Γεώργιος Πετμεζάς, Kostas Haris et al. Biomedical Signal Processing and Control 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
Leandros Stefanopoulos Greece	10	251	140	137	79	74	30	580
Micaela Morettini Italy	18	303 1.2×	151 1.1×	72 0.5×	84 1.1×	248 3.4×	120	887
Ricardo Couceiro Portugal	15	410 1.6×	73 0.5×	169 1.2×	185 2.3×	291 3.9×	45	681
Agnese Sbrollini Italy	16	446 1.8×	186 1.3×	97 0.7×	30 0.4×	280 3.8×	98	768
Evaggelos Karvounis Greece	11	240 1.0×	48 0.3×	134 1.0×	54 0.7×	169 2.3×	41	527
Carlos Zamarrón Spain	22	293 1.2×	449 3.2×	170 1.2×	132 1.7×	447 6.0×	70	1.5k
Jongshill Lee South Korea	11	156 0.6×	33 0.2×	73 0.5×	77 1.0×	192 2.6×	36	473
Bersaín A. Reyes United States	15	379 1.5×	216 1.5×	118 0.9×	84 1.1×	472 6.4×	30	828
Mia Folke Sweden	9	105 0.4×	96 0.7×	26 0.2×	105 1.3×	374 5.1×	31	664
Tousif Ahmed United States	15	32 0.1×	124 0.9×	114 0.8×	13 0.2×	107 1.4×	43	561

Countries citing papers authored by Leandros Stefanopoulos

Since Specialization

Citations

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

Fields of papers citing papers by Leandros Stefanopoulos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leandros Stefanopoulos

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

All Works

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20 of 20 papers shown

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.

Stefanopoulos, Leandros, et al.. (2024). The outcomes of parathyroid gland autotransplantation during thyroid surgery: a systematic review, meta-analysis and trial sequential analysis. Endocrine. 87(1). 27–38. 4 indexed citations

Stefanopoulos, Leandros, et al.. (2024). Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study. JMIR Public Health and Surveillance. 10. e47979–e47979. 4 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

Wu, Yunan, Bruno Rocha, Evangelos Kaimakamis, et al.. (2023). A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters. Expert Systems with Applications. 235. 121089–121089. 8 indexed citations

Diou, Christos, Irini Lekka, Leandros Stefanopoulos, et al.. (2023). Ultra-Processed Food vs. Fruit and Vegetable Consumption before and during the COVID-19 Pandemic among Greek and Swedish Students. Nutrients. 15(10). 2321–2321. 3 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 →

Kilintzis, Vassilis, Evangelos Kaimakamis, Leandros Stefanopoulos, et al.. (2022). CoCross: An ICT Platform Enabling Monitoring Recording and Fusion of Clinical Information Chest Sounds and Imaging of COVID-19 ICU Patients. Healthcare. 10(2). 276–276. 5 indexed citations

Πετμεζάς, Γεώργιος, Leandros Stefanopoulos, Andreas Tzavelis, et al.. (2022). State-of-the-art Deep Learning Methods on Electrocardiogram Data: A Systematic Review (Preprint). 1 indexed citations

10.

Πετμεζάς, Γεώργιος, Leandros Stefanopoulos, Vassilis Kilintzis, et al.. (2022). State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review. JMIR Medical Informatics. 10(8). e38454–e38454. 40 indexed citations

11.

Stefanopoulos, Leandros, et al.. (2022). The Role of Carbon Nanoparticles in Lymph Node Dissection and Parathyroid Gland Preservation during Surgery for Thyroid Cancer: A Systematic Review and Meta-Analysis. Cancers. 14(16). 4016–4016. 16 indexed citations

12.

Stefanopoulos, Leandros, et al.. (2022). The Prevalence of Psychotic Symptoms, Violent Ideation, and Disruptive Behavior in a Population With SARS-CoV-2 Infection: Preliminary Study. JMIR Formative Research. 6(8). e36444–e36444. 5 indexed citations

13.

Stefanopoulos, Leandros, et al.. (2022). The Relationship Between a History of High-risk and Destructive Behaviors and COVID-19 Infection: Preliminary Study. JMIR Formative Research. 7. e40821–e40821. 3 indexed citations

14.

Karagiannidis, Efstratios, Georgios Sofidis, Αndreas S. Papazoglou, et al.. (2021). Correlation of the severity of coronary artery disease with patients' metabolic profile- rationale, design and baseline patient characteristics of the CorLipid trial. BMC Cardiovascular Disorders. 21(1). 17 indexed citations

15.

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

16.

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

17.

Sofidis, Georgios, Nikolaos Stalikas, Efstratios Karagiannidis, et al.. (2021). Association of GRACE Risk Score with Coronary Artery Disease Complexity in Patients with Acute Coronary Syndrome. Journal of Clinical Medicine. 10(10). 2210–2210. 9 indexed citations

18.

Karagiannidis, Efstratios, Αndreas S. Papazoglou, Georgios Sofidis, et al.. (2021). Micro-CT-Based Quantification of Extracted Thrombus Burden Characteristics and Association With Angiographic Outcomes in Patients With ST-Elevation Myocardial Infarction: The QUEST-STEMI Study. Frontiers in Cardiovascular Medicine. 8. 646064–646064. 10 indexed citations

19.

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

20.

Πετμεζάς, Γεώργιος, Kostas Haris, Leandros Stefanopoulos, et al.. (2020). Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets. Biomedical Signal Processing and Control. 63. 102194–102194. 236 indexed citations breakdown →

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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