Ανδρέας Μιλτιάδους

733 citations

18 papers · 426 indexed · 2 hit papers · h-index 9

Co-authors: Νικόλαος Γιαννακέας Alexandros T. Tzallas Katerina D. Tzimourta Markos G. Tsipouras Theodora Afrantou Panagiotis Ioannidis Euripidis Glavas Nikolaos Grigoriadis
Topics: EEG and Brain-Computer Interfaces (11 papers)Functional Brain Connectivity Studies (7 papers)ECG Monitoring and Analysis (3 papers)
Cited by: Cognitive Neuroscience Neurology Health Informatics
Journals: IEEE Access Sensors American Journal of Geriatric Psychiatry
Partner nations: Greece Switzerland Malta

In The Last Decade

Ανδρέας Μιλτιάδους

14 papers receiving 419 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.

A Dataset of Scalp EEG Recordings of Alzheimer’s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG

2023 108 citations Ανδρέας Μιλτιάδους, Katerina D. Tzimourta et al. Data profile →
DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals

2023 91 citations Ανδρέας Μιλτιάδους, Katerina D. Tzimourta et al. IEEE Access profile →

Peers

Countries citing papers authored by Ανδρέας Μιλτιάδους

Since Specialization

Citations

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

Fields of papers citing papers by Ανδρέας Μιλτιάδους

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ανδρέας Μιλτιάδους

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis 2025 ·Ανδρέας Μιλτιάδους,(unknown),(unknown),(unknown),Νικόλαος Γιαννακέας,Alexandros T. Tzallas	0
2	A Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer’s Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG 2025 ·Data ·(unknown),Ανδρέας Μιλτιάδους,Markos G. Tsipouras,Katerina D. Tzimourta,Theodora Afrantou,Panagiotis Ioannidis,Dimitrios Tsalikakis,(unknown),(unknown),Nikolaos Grigoriadis,Pantelis Angelidis,Νικόλαος Γιαννακέας,Alexandros T. Tzallas	1
3	A Novel CNN-Based Framework for Alzheimer’s Disease Detection Using EEG Spectrogram Representations 2025 ·Journal of Personalized Medicine ·Kostas Stefanou,Katerina D. Tzimourta,(unknown),(unknown),(unknown),(unknown),Markos G. Tsipouras,Νικόλαος Γιαννακέας,Alexandros T. Tzallas,Ανδρέας Μιλτιάδους	11
4	Multiplayer Virtual Labs for Electronic Circuit Design: A Digital Twin-Based Learning Approach 2025 ·Electronics ·(unknown),(unknown),(unknown),Ανδρέας Μιλτιάδους,Euripidis Glavas,Alexandros T. Tzallas,Νικόλαος Γιαννακέας	0
5	Beyond the Exome: The Role of Noncoding and Regulatory Variants in Monogenic Diseases 2025 ·Current Issues in Molecular Biology ·Efthalia Moustakli,Νεκταρία Ζαγοριανάκου,(unknown),Ανδρέας Μιλτιάδους,Alexandros T. Tzallas,George Makrydimas	0
6	Predicting the Damage of Urban Fires with Grammatical Evolution 2025 ·Big Data and Cognitive Computing ·(unknown),Ioannis G. Tsoulos,Ανδρέας Μιλτιάδους,(unknown)	0
7	The Gut–Endometriosis Axis: Genetic Mechanisms and Public Health Implications 2025 ·Genes ·Efthalia Moustakli,Νεκταρία Ζαγοριανάκου,(unknown),(unknown),Ανδρέας Μιλτιάδους,George Makrydimas	5
8	Beta-to-Theta Entropy Ratio of EEG in Aging, Frontotemporal Dementia, and Alzheimer's Dementia 2024 ·American Journal of Geriatric Psychiatry ·(unknown),Ανδρέας Μιλτιάδους,Saeid Sanei,Hamed Azami	10
9	An Ensemble Method for EEG-based Texture Discrimination during Open Eyes Active Touch 2024 ·Engineering Technology & Applied Science Research ·Ανδρέας Μιλτιάδους,(unknown),Dimitrios Peschos,Katerina D. Tzimourta,(unknown),Νικόλαος Γιαννακέας,Alexandros T. Tzallas	3
10	DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signalsbreakdown → 2023 ·IEEE Access ·Ανδρέας Μιλτιάδους,(unknown),Katerina D. Tzimourta,Νικόλαος Γιαννακέας,Alexandros T. Tzallas	91
11	A Dataset of Scalp EEG Recordings of Alzheimer’s Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEGbreakdown → 2023 ·Data ·Ανδρέας Μιλτιάδους,Katerina D. Tzimourta,Theodora Afrantou,Panagiotis Ioannidis,Nikolaos Grigoriadis,Dimitrios Tsalikakis,Pantelis Angelidis,Markos G. Tsipouras,Euripidis Glavas,Νικόλαος Γιαννακέας,Alexandros T. Tzallas	108
12	Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features 2023 ·Ανδρέας Μιλτιάδους,Katerina D. Tzimourta,(unknown),Theodora Afrantou,Markos G. Tsipouras,Νικόλαος Γιαννακέας,Euripidis Glavas,Alexandros T. Tzallas	8
13	Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG 2022 ·Sensors ·(unknown),Ανδρέας Μιλτιάδους,Konstantinos Kalafatakis,Katerina D. Tzimourta,Νικόλαος Γιαννακέας,Markos G. Tsipouras,Dimitrios Peschos,Euripidis Glavas,Alexandros T. Tzallas	21
14	Evaluating the Window Size’s Role in Automatic EEG Epilepsy Detection 2022 ·Sensors ·Vasileios Christou,Ανδρέας Μιλτιάδους,Ioannis G. Tsoulos,Evaggelos Karvounis,Katerina D. Tzimourta,Markos G. Tsipouras,Νικόλαος Αναστασόπουλος,Alexandros T. Tzallas,Νικόλαος Γιαννακέας	16
15	Classification of EEG signals from young adults with dyslexia combining a Brain Computer Interface device and an Interactive Linguistic Software Tool 2022 ·Biomedical Signal Processing and Control ·(unknown),Ανδρέας Μιλτιάδους,Katerina D. Tzimourta,Dimitrios Peschos,Georgios Ntritsos,(unknown),Νικόλαος Γιαννακέας,Loukas G. Astrakas,Markos G. Tsipouras,Konstantinos I. Tsamis,Euripidis Glavas,Alexandros T. Tzallas	26
16	An experimental protocol for exploration of stress in an immersive VR scenario with EEG 2022 ·Ανδρέας Μιλτιάδους,(unknown),(unknown),Νικόλαος Γιαννακέας,Euripidis Glavas,Alexandros T. Tzallas	2
17	Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review 2022 ·IEEE Access ·Ανδρέας Μιλτιάδους,Katerina D. Tzimourta,Νικόλαος Γιαννακέας,Markos G. Tsipouras,Euripidis Glavas,Konstantinos Kalafatakis,Alexandros T. Tzallas	30
18	Alzheimer’s Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods 2021 ·Diagnostics ·Ανδρέας Μιλτιάδους,Katerina D. Tzimourta,Νικόλαος Γιαννακέας,Markos G. Tsipouras,Theodora Afrantou,Panagiotis Ioannidis,Alexandros T. Tzallas	94

About Ανδρέας Μιλτιάδους

Ανδρέας Μιλτιάδους is a scholar working on Cognitive Neuroscience, Behavioral Neuroscience and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 426 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Functional Brain Connectivity Studies (7 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Cognitive Neuroscience (332 citations), Neurology (73 citations) and Health Informatics (6 citations). Ανδρέας Μιλτιάδους has collaborated with scholars based in Greece, Switzerland and Malta. Frequent co-authors include Νικόλαος Γιαννακέας, Alexandros T. Tzallas, Katerina D. Tzimourta, Markos G. Tsipouras, Theodora Afrantou, Panagiotis Ioannidis, Euripidis Glavas, Nikolaos Grigoriadis, Pantelis Angelidis and Dimitrios Tsalikakis. Their work appears in journals such as IEEE Access, Sensors and American Journal of Geriatric Psychiatry.

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