Markos G. Tsipouras

5.5k total citations · 2 hit papers
149 papers, 4.0k citations indexed

About

Markos G. Tsipouras is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Markos G. Tsipouras has authored 149 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 34 papers in Cardiology and Cardiovascular Medicine and 24 papers in Biomedical Engineering. Recurrent topics in Markos G. Tsipouras's work include EEG and Brain-Computer Interfaces (52 papers), ECG Monitoring and Analysis (23 papers) and Liver Disease Diagnosis and Treatment (18 papers). Markos G. Tsipouras is often cited by papers focused on EEG and Brain-Computer Interfaces (52 papers), ECG Monitoring and Analysis (23 papers) and Liver Disease Diagnosis and Treatment (18 papers). Markos G. Tsipouras collaborates with scholars based in Greece, United Kingdom and Italy. Markos G. Tsipouras's co-authors include Alexandros T. Tzallas, Dimitrios I. Fotiadis, Νικόλαος Γιαννακέας, Dimitrios I. Fotiadis, Katerina D. Tzimourta, D A Sideris, George Rigas, Themis P. Exarchos, Evaggelos Karvounis and Dimitrios Tsalikakis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hepatology and Expert Systems with Applications.

In The Last Decade

Markos G. Tsipouras

142 papers receiving 3.8k citations

Hit Papers

Epileptic Seizure Detecti... 2009 2026 2014 2020 2009 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markos G. Tsipouras Greece 31 2.0k 1.1k 1.0k 652 616 149 4.0k
Alexandros T. Tzallas Greece 31 1.9k 0.9× 588 0.5× 973 1.0× 455 0.7× 617 1.0× 173 3.8k
Aiping Liu China 41 1.8k 0.9× 883 0.8× 526 0.5× 674 1.0× 314 0.5× 256 4.9k
M. Murugappan Malaysia 38 2.6k 1.3× 1.0k 1.0× 587 0.6× 691 1.1× 555 0.9× 161 5.0k
Reza Boostani Iran 29 1.8k 0.9× 502 0.5× 482 0.5× 616 0.9× 546 0.9× 243 3.6k
Metin Akay United States 38 1.2k 0.6× 1.1k 1.0× 560 0.5× 2.1k 3.3× 352 0.6× 220 5.4k
Varun Bajaj India 42 3.0k 1.5× 1.2k 1.1× 1.4k 1.4× 977 1.5× 971 1.6× 169 5.6k
Sridhar Krishnan Canada 39 1.0k 0.5× 902 0.8× 1.6k 1.5× 1.3k 1.9× 856 1.4× 342 5.4k
Yuki Hagiwara Singapore 33 4.1k 2.0× 3.7k 3.4× 904 0.9× 1.5k 2.3× 1.0k 1.7× 68 8.1k
Javier Escudero United Kingdom 36 2.7k 1.3× 701 0.7× 512 0.5× 985 1.5× 413 0.7× 165 4.8k
Yingchun Zhang China 37 2.1k 1.0× 315 0.3× 276 0.3× 919 1.4× 367 0.6× 350 4.8k

Countries citing papers authored by Markos G. Tsipouras

Since Specialization
Citations

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

Fields of papers citing papers by Markos G. Tsipouras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markos G. Tsipouras. 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 Markos G. Tsipouras. The network helps show where Markos G. Tsipouras may publish in the future.

Co-authorship network of co-authors of Markos G. Tsipouras

This figure shows the co-authorship network connecting the top 25 collaborators of Markos G. Tsipouras. A scholar is included among the top collaborators of Markos G. Tsipouras 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 Markos G. Tsipouras. Markos G. Tsipouras 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.
Tzimourta, Katerina D., et al.. (2025). From Pixels to Prognosis: Deep Learning Methods in Abdominal Aortic Aneurysm Imaging. IEEE Access. 13. 213600–213629.
2.
3.
Stefanou, Kostas, Katerina D. Tzimourta, Markos G. Tsipouras, et al.. (2025). A Novel CNN-Based Framework for Alzheimer’s Disease Detection Using EEG Spectrogram Representations. Journal of Personalized Medicine. 15(1). 27–27. 11 indexed citations
5.
Tzimourta, Katerina D., et al.. (2023). Mind the Move: Developing a Brain-Computer Interface Game with Left-Right Motor Imagery. Information. 14(7). 354–354. 5 indexed citations
6.
Μιλτιάδους, Ανδρέας, Katerina D. Tzimourta, Theodora Afrantou, et al.. (2023). A Dataset of Scalp EEG Recordings of Alzheimer’s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG. Data. 8(6). 95–95. 108 indexed citations breakdown →
7.
Tzimourta, Katerina D., et al.. (2023). Cognitive Assessment Based on Electroencephalography Analysis in Virtual and Augmented Reality Environments, Using Head Mounted Displays: A Systematic Review. Big Data and Cognitive Computing. 7(4). 163–163. 10 indexed citations
8.
Christou, Vasileios, Dimitrios Varvarousis, Ioannis G. Tsoulos, et al.. (2022). Automatic Hemiplegia Type Detection (Right or Left) Using the Levenberg-Marquardt Backpropagation Method. Information. 13(2). 101–101. 6 indexed citations
9.
Christou, Vasileios, Ανδρέας Μιλτιάδους, Ioannis G. Tsoulos, et al.. (2022). Evaluating the Window Size’s Role in Automatic EEG Epilepsy Detection. Sensors. 22(23). 9233–9233. 16 indexed citations
10.
Christou, Vasileios, Georgios Ntritsos, Georgios Tsoumanis, et al.. (2022). Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement. Expert Systems with Applications. 203. 117488–117488. 3 indexed citations
11.
Tzimourta, Katerina D., et al.. (2022). Evaluation of the User Adaptation in a BCI Game Environment. Applied Sciences. 12(24). 12722–12722. 9 indexed citations
12.
Bamgboje, David, Masoud Malekzadeh, Νικόλαος Γιαννακέας, et al.. (2021). Continuous Non-Invasive Glucose Monitoring via Contact Lenses: Current Approaches and Future Perspectives. Biosensors. 11(6). 189–189. 36 indexed citations
13.
Μιλτιάδους, Ανδρέας, Katerina D. Tzimourta, Νικόλαος Γιαννακέας, et al.. (2021). Alzheimer’s Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods. Diagnostics. 11(8). 1437–1437. 94 indexed citations
14.
Γιαννακέας, Νικόλαος, et al.. (2021). IoT Micro-Blockchain Fundamentals. Sensors. 21(8). 2784–2784. 15 indexed citations
15.
Christou, Vasileios, Katerina D. Tzimourta, Konstantinos Kalafatakis, et al.. (2021). EEG-Based Eye Movement Recognition Using Brain–Computer Interface and Random Forests. Sensors. 21(7). 2339–2339. 49 indexed citations
16.
Christou, Vasileios, Georgios Ntritsos, Georgios Tsoumanis, et al.. (2020). Improving the Accuracy of Low-Cost Sensor Measurements for Freezer Automation. Sensors. 20(21). 6389–6389. 13 indexed citations
17.
Forlano, Roberta, Benjamin H. Mullish, Νικόλαος Γιαννακέας, et al.. (2019). High-Throughput, Machine Learning–Based Quantification of Steatosis, Inflammation, Ballooning, and Fibrosis in Biopsies From Patients With Nonalcoholic Fatty Liver Disease. Clinical Gastroenterology and Hepatology. 18(9). 2081–2090.e9. 96 indexed citations
18.
Γιαννακέας, Νικόλαος, Markos G. Tsipouras, Alexandros T. Tzallas, et al.. (2017). Measuring Steatosis in Liver Biopsies Using Machine Learning and Morphological Imaging. 40–44. 6 indexed citations
19.
Tzallas, Alexandros T., Νικόλαος Γιαννακέας, Markos G. Tsipouras, et al.. (2017). EEG Classification and Short-Term Epilepsy Prognosis Using Brain Computer Interface Software. 349–353. 9 indexed citations
20.
Kontogiannis, Sotirios, et al.. (2015). A Sensor Based Management and Monitoring System for the Identification of Lambs Focusing on Milk Productivity Upturns.. 651–660. 1 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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