Georgios D. Mitsis

4.0k total citations
114 papers, 1.7k citations indexed

About

Georgios D. Mitsis is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Georgios D. Mitsis has authored 114 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 39 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Neurology. Recurrent topics in Georgios D. Mitsis's work include Functional Brain Connectivity Studies (36 papers), Neural dynamics and brain function (32 papers) and EEG and Brain-Computer Interfaces (22 papers). Georgios D. Mitsis is often cited by papers focused on Functional Brain Connectivity Studies (36 papers), Neural dynamics and brain function (32 papers) and EEG and Brain-Computer Interfaces (22 papers). Georgios D. Mitsis collaborates with scholars based in Canada, Cyprus and United States. Georgios D. Mitsis's co-authors include Vasilis Z. Marmarelis, Michalis Kassinopoulos, Benjamin D. Levine, Marc J. Poulin, Peter A. Robbins, Kyle T.S. Pattinson, Irene Tracey, V.Z. Marmarelis, Richard G. Wise and Alba Xifra‐Porxas and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Georgios D. Mitsis

112 papers receiving 1.6k citations

Peers

Georgios D. Mitsis
Georgios D. Mitsis
Citations per year, relative to Georgios D. Mitsis Georgios D. Mitsis (= 1×) peers Guangbin Cui

Countries citing papers authored by Georgios D. Mitsis

Since Specialization
Citations

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

Fields of papers citing papers by Georgios D. Mitsis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Georgios D. Mitsis. 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 Georgios D. Mitsis. The network helps show where Georgios D. Mitsis may publish in the future.

Co-authorship network of co-authors of Georgios D. Mitsis

This figure shows the co-authorship network connecting the top 25 collaborators of Georgios D. Mitsis. A scholar is included among the top collaborators of Georgios D. Mitsis 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 Georgios D. Mitsis. Georgios D. Mitsis 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.
Beaudin, Andrew E., Patrick J. Hanly, Jill K. Raneri, et al.. (2025). Dynamic cerebral autoregulation in healthy males during sleep accompanied by intermittent hypoxia. Journal of Applied Physiology. 139(6). 1492–1504.
2.
Flores-Torres, Salvador, et al.. (2024). Cancer cell sedimentation in 3D cultures reveals active migration regulated by self-generated gradients and adhesion sites. PLoS Computational Biology. 20(6). e1012112–e1012112. 3 indexed citations
3.
Mitsis, Georgios D., et al.. (2024). On the variability of dynamic functional connectivity assessment methods. GigaScience. 13. 7 indexed citations
4.
Kostoglou, Kyriaki, Patrice Brassard, Máx Chacón, et al.. (2024). Time-domain methods for quantifying dynamic cerebral blood flow autoregulation: Review and recommendations. A white paper from the Cerebrovascular Research Network (CARNet). Journal of Cerebral Blood Flow & Metabolism. 44(9). 1480–1514. 15 indexed citations
5.
Kostoglou, Kyriaki, Konstantinos P. Michmizos, Pantelis Stathis, et al.. (2024). Spiking Laguerre Volterra networks—predicting neuronal activity from local field potentials. Journal of Neural Engineering. 21(4). 46030–46030. 1 indexed citations
6.
Strati, Katerina, et al.. (2023). A calibration and uncertainty quantification analysis of classical, fractional and multiscale logistic models of tumour growth. Computer Methods and Programs in Biomedicine. 243. 107920–107920. 1 indexed citations
7.
Kopál, Jakub, Avram J. Holmes, Georgios D. Mitsis, et al.. (2023). The default network dominates neural responses to evolving movie stories. Nature Communications. 14(1). 4197–4197. 11 indexed citations
8.
Flores-Torres, Salvador, et al.. (2022). Detection and Spatiotemporal Analysis of In-vitro 3D Migratory Triple-Negative Breast Cancer Cells. Annals of Biomedical Engineering. 51(2). 318–328. 2 indexed citations
9.
Flores-Torres, Salvador, et al.. (2022). Quantifying the Morphology and Mechanisms of Cancer Progression in 3D In-Vitro Environments: Integrating Experiments and Multiscale Models. IEEE Transactions on Biomedical Engineering. 70(4). 1318–1329. 6 indexed citations
10.
Robertson, Andrew D., Kyriaki Kostoglou, Nicolaas Paul L.G. Verhoeff, et al.. (2019). Cerebrovascular Pulsatility During Rest and Exercise Reflects Hemodynamic Impairment in Stroke and Cerebral Small Vessel Disease. Ultrasound in Medicine & Biology. 45(12). 3116–3127. 9 indexed citations
11.
Christodoulakis, Manolis, et al.. (2019). Graph Theoretical Characteristics of EEG-Based Functional Brain Networks in Patients With Epilepsy: The Effect of Reference Choice and Volume Conduction. Zenodo (CERN European Organization for Nuclear Research). 41 indexed citations
12.
Maso, Fabien Dal, et al.. (2019). Unfolding the Effects of Acute Cardiovascular Exercise on Neural Correlates of Motor Learning Using Convolutional Neural Networks. Frontiers in Neuroscience. 13. 1215–1215. 4 indexed citations
13.
Mitsis, Georgios D., et al.. (2018). Whole transcriptome sequence data of 5-FU sensitive and 5-FU resistant tumors generated in a mouse model of de novo carcinogenesis. Data in Brief. 20. 1602–1606. 1 indexed citations
14.
Durand, Audrey, et al.. (2018). Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis. 67–82. 22 indexed citations
15.
Laskaris, Nikolaos, Yannis Manolopoulos, Manolis Christodoulakis, et al.. (2017). A symbolic dynamics approach to Epileptic Chronnectomics: Employing strings to predict crisis onset. Theoretical Computer Science. 710. 116–125. 3 indexed citations
16.
Orphanidou, Christina, et al.. (2016). Spontaneous physiological variability modulates dynamic functional connectivity in resting-state functional magnetic resonance imaging. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 374(2067). 20150183–20150183. 31 indexed citations
17.
Waltz, Xavier, Andrew E. Beaudin, Patrick J. Hanly, Georgios D. Mitsis, & Marc J. Poulin. (2016). Effects of continuous positive airway pressure and isocapnic‐hypoxia on cerebral autoregulation in patients with obstructive sleep apnoea. The Journal of Physiology. 594(23). 7089–7104. 13 indexed citations
18.
Pattinson, Kyle T.S., Georgios D. Mitsis, Andrew R. Harvey, et al.. (2008). Determination of the human brainstem respiratory control network and its cortical connections in vivo using functional and structural imaging. NeuroImage. 44(2). 295–305. 134 indexed citations
19.
Mitsis, Georgios D. & Vasilis Z. Marmarelis. (2007). Nonlinear modeling of glucose metabolism: comparison of parametric vs. nonparametric methods. Conference proceedings. 276. 5967–5970. 6 indexed citations
20.
Mitsis, Georgios D., Gian Domenico Iannetti, Trevor Smart, Irene Tracey, & Richard G. Wise. (2007). Regions of interest analysis in pharmacological fMRI: How do the definition criteria influence the inferred result?. NeuroImage. 40(1). 121–132. 62 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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