Vaidotas Marozas

2.8k total citations
110 papers, 1.5k citations indexed

About

Vaidotas Marozas is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Vaidotas Marozas has authored 110 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cardiology and Cardiovascular Medicine, 45 papers in Biomedical Engineering and 18 papers in Cognitive Neuroscience. Recurrent topics in Vaidotas Marozas's work include Non-Invasive Vital Sign Monitoring (40 papers), ECG Monitoring and Analysis (32 papers) and Heart Rate Variability and Autonomic Control (30 papers). Vaidotas Marozas is often cited by papers focused on Non-Invasive Vital Sign Monitoring (40 papers), ECG Monitoring and Analysis (32 papers) and Heart Rate Variability and Autonomic Control (30 papers). Vaidotas Marozas collaborates with scholars based in Lithuania, Sweden and Spain. Vaidotas Marozas's co-authors include Andrius Petrėnas, Arūnas Lukoševičius, Leif Sörnmo, Peter Charlton, Mohammad Shahbakhti, Raquel Bailón, Feng Dong, Phil Chowienczyk, Eduardo Gil and Enjie Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Vaidotas Marozas

107 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vaidotas Marozas Lithuania 20 813 622 355 201 97 110 1.5k
Myoungho Lee South Korea 18 995 1.2× 945 1.5× 322 0.9× 260 1.3× 126 1.3× 99 1.7k
Hilmi R. Dajani Canada 23 978 1.2× 815 1.3× 246 0.7× 358 1.8× 88 0.9× 96 1.5k
Hsiao‐Lung Chan Taiwan 21 730 0.9× 552 0.9× 469 1.3× 79 0.4× 110 1.1× 82 1.4k
Masaki Yoshida Japan 13 486 0.6× 984 1.6× 298 0.8× 298 1.5× 58 0.6× 73 1.4k
Alfredo Hernández France 20 796 1.0× 333 0.5× 406 1.1× 144 0.7× 70 0.7× 114 1.5k
Carolina Varon Belgium 21 772 0.9× 758 1.2× 614 1.7× 90 0.4× 98 1.0× 129 1.6k
Giovanni D’Addio Italy 22 581 0.7× 651 1.0× 250 0.7× 103 0.5× 48 0.5× 145 1.7k
P. Carvalho Portugal 25 824 1.0× 519 0.8× 358 1.0× 302 1.5× 420 4.3× 174 2.1k
Hyun Jae Baek South Korea 22 784 1.0× 853 1.4× 411 1.2× 282 1.4× 33 0.3× 45 1.5k
Delaram Jarchi United Kingdom 20 272 0.3× 483 0.8× 171 0.5× 156 0.8× 129 1.3× 60 1.0k

Countries citing papers authored by Vaidotas Marozas

Since Specialization
Citations

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

Fields of papers citing papers by Vaidotas Marozas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaidotas Marozas

This figure shows the co-authorship network connecting the top 25 collaborators of Vaidotas Marozas. A scholar is included among the top collaborators of Vaidotas Marozas 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 Vaidotas Marozas. Vaidotas Marozas 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.
Kontaxis, Spyridon, Jesús Lázaro, Marius Brazaitis, et al.. (2025). Vascular reactivity characterized by PPG-derived pulse wave velocity. Biomedical Signal Processing and Control. 105. 107641–107641. 1 indexed citations
2.
3.
Shahbakhti, Mohammad, Wei Chen, Jordi Solé‐Casals, et al.. (2023). Fusion of EEG and Eye Blink Analysis for Detection of Driver Fatigue. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2037–2046. 29 indexed citations
4.
Marozas, Vaidotas, et al.. (2023). An objective approach to identifying individual atrial fibrillation triggers: A simulation study. Biomedical Signal Processing and Control. 87. 105369–105369. 1 indexed citations
5.
Charlton, Peter, et al.. (2023). Influence of Photoplethysmogram Signal Quality on Pulse Arrival Time during Polysomnography. Sensors. 23(4). 2220–2220. 4 indexed citations
6.
Martín-Yebra, Alba, Andrius Petrėnas, Linda Johnson, et al.. (2023). ECG Modeling for Simulation of Arrhythmias in Time-Varying Conditions. IEEE Transactions on Biomedical Engineering. 70(12). 3449–3460. 7 indexed citations
7.
Marozas, Vaidotas, et al.. (2022). Modeling of the Effect of Alcohol on Episode Patterns in Atrial Fibrillation. Computing in cardiology. 1 indexed citations
8.
Charlton, Peter, P. A. Kyriacou, Jonathan Mant, et al.. (2022). Wearable Photoplethysmography for Cardiovascular Monitoring.. Apollo (University of Cambridge). 90 indexed citations
9.
Ulozienė, Ingrida, Rima Kregždytė, Tomas Blažauskas, et al.. (2020). Subjective visual vertical and visual dependency in patients with multiple sclerosis. Multiple Sclerosis and Related Disorders. 44. 102255–102255. 16 indexed citations
10.
Petrėnas, Andrius, et al.. (2019). Detection of atrial fibrillation using a wrist-worn device. Physiological Measurement. 40(2). 25003–25003. 32 indexed citations
11.
Kontaxis, Spyridon, Eduardo Gil, Raquel Bailón, et al.. (2019). Photoplethysmogram Signal Morphology-Based Stress Assessment. Zaguan (University of Zaragoza Repository). 6 indexed citations
12.
Banerjee, Swati, et al.. (2017). A Two Step Gaussian Modelling to Assess PPG Morphological Variability Induced by Psychological Stress. Computing in cardiology. 44. 21 indexed citations
13.
Lukoševičius, Mantas & Vaidotas Marozas. (2014). Noninvasive fetal QRS detection using an echo state network and dynamic programming. Physiological Measurement. 35(8). 1685–1697. 17 indexed citations
14.
Lukoševičius, Mantas & Vaidotas Marozas. (2013). Noninvasive fetal QRS detection using Echo State Network. KTUePubl (Repository of Kaunas University of Technology). 205–208. 8 indexed citations
15.
Petrėnas, Andrius, Leif Sörnmo, Vaidotas Marozas, & Arūnas Lukoševičius. (2013). A Noise-Adaptive Method for Detection of Brief Episodes of Paroxysmal Atrial Fibrillation. KTUePubl (Repository of Kaunas University of Technology). 40. 739–742. 2 indexed citations
16.
Petrėnas, Andrius, Vaidotas Marozas, Leif Sörnmo, & Arūnas Lukoševičius. (2012). Reservoir computing for extraction of low amplitude atrial activity in atrial fibrillation. KTUePubl (Repository of Kaunas University of Technology). 39. 13–16.
17.
Marozas, Vaidotas & V. Dumbrava. (2010). Motivating the Students to Study the Basics of Digital Signal Processing by using Virtual Learning Environment. Elektronika ir Elektrotechnika. 102(6). 87–90. 4 indexed citations
18.
Marozas, Vaidotas, et al.. (2010). Modification of Method for Drusen Detection in Eye Fundus Images. Elektronika ir Elektrotechnika. 101(5). 115–118. 2 indexed citations
19.
Marozas, Vaidotas, et al.. (2008). Development of Virtual and Remote Lab Experimentation System for Electronics Engineering. Elektronika ir Elektrotechnika. 87(7). 41–44. 6 indexed citations
20.
Marozas, Vaidotas, et al.. (2007). Model based investigation of retinal vessel tortuosity as a function of blood pressure: preliminary results. Conference proceedings. 351. 6459–6462. 15 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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