Νικόλαος Γιαννακέας

2.5k citations

117 papers · 1.6k indexed · 2 hit papers · h-index 22

Cognitive Neuroscience top 2%
Artificial Intelligence top 5%
Cardiology and Cardiovascular Medicine top 10%
Epidemiology
Molecular Biology

Co-authors: Alexandros T. Tzallas Markos G. Tsipouras Katerina D. Tzimourta Ανδρέας Μιλτιάδους Euripidis Glavas Dimitrios Tsalikakis Pantelis Angelidis Loukas G. Astrakas
Topics: EEG and Brain-Computer Interfaces (31 papers)Liver Disease Diagnosis and Treatment (20 papers)Functional Brain Connectivity Studies (9 papers)
Cited by: Cognitive Neuroscience Health Informatics Biophysics
Journals: SHILAP Revista de lepidopterologíaJournal of Hepatology Expert Systems with Applications
Partner nations: Greece United Kingdom Slovakia

In The Last Decade

Νικόλαος Γιαννακέας

109 papers receiving 1.6k 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. 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 Νικόλαος Γιαννακέας

Since Specialization

Citations

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

Fields of papers citing papers by Νικόλαος Γιαννακέας

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Νικόλαος Γιαννακέας

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Innovations in Proteomic Technologies and Artificial Neural Networks: Unlocking Milk Origin Identification 2025 ·BioTech ·Achilleas Karamoutsios,(unknown),Chrysoula Voidarou,(unknown),Konstantina Fotou,Konstantin Nikolaou,Evangelia Gouva,(unknown),Νικόλαος Γιαννακέας,Ioannis Skoufos,Athina Tzora	1
2	Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis 2025 ·Ανδρέας Μιλτιάδους,(unknown),(unknown),(unknown),Νικόλαος Γιαννακέας,Alexandros T. Tzallas	0
3	How natural language processing derived techniques are used on biological data: a systematic review 2024 ·Network Modeling Analysis in Health Informatics and Bioinformatics ·(unknown),Petros Karvelis,Νικόλαος Γιαννακέας,(unknown),Euripidis Glavas,Alexandros T. Tzallas	4
4	Performance and early drop prediction for higher education students using machine learning 2023 ·Expert Systems with Applications ·Vasileios Christou,Ioannis G. Tsoulos,(unknown),Alexandros T. Tzallas,Christos Gogos,Petros Karvelis,(unknown),Euripidis Glavas,Νικόλαος Γιαννακέας	18
5	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
6	Cognitive Assessment Based on Electroencephalography Analysis in Virtual and Augmented Reality Environments, Using Head Mounted Displays: A Systematic Review 2023 ·Big Data and Cognitive Computing ·(unknown),Katerina D. Tzimourta,Pantelis Angelidis,Νικόλαος Γιαννακέας,Markos G. Tsipouras	10
7	A Traffic-Load-Based Algorithm for Wireless Sensor Networks’ Lifetime Extension 2022 ·Information ·Georgios Tsoumanis,Νικόλαος Γιαννακέας,Alexandros T. Tzallas,Euripidis Glavas,(unknown),Evaggelos Karvounis,(unknown),Constantinos T. Angelis	1
8	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
9	Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images 2022 ·Information ·(unknown),(unknown),Vasileios Christou,Alexandros T. Tzallas,Markos G. Tsipouras,Roberta Forlano,Pinelopi Manousou,Robert Goldin,Christos Gogos,Euripidis Glavas,Νικόλαος Γιαννακέας	3
10	Deep Learning on Histopathological Images for Colorectal Cancer Diagnosis: A Systematic Review 2022 ·Diagnostics ·(unknown),(unknown),(unknown),Georgios Ntritsos,Νικόλαος Γιαννακέας,Alexandros T. Tzallas,Anna Batistatou	65
11	Evaluation of the User Adaptation in a BCI Game Environment 2022 ·Applied Sciences ·(unknown),(unknown),Katerina D. Tzimourta,Νικόλαος Γιαννακέας,Markos G. Tsipouras	9
12	Modelling Hydrocortisone Pharmacokinetics on a Subcutaneous Pulsatile Infusion Replacement Strategy in Patients with Adrenocortical Insufficiency 2021 ·Pharmaceutics ·(unknown),Konstantinos Kalafatakis,Eder Zavala,Ioannis G. Tsoulos,(unknown),Stafford L. Lightman,Markos G. Tsipouras,Νικόλαος Γιαννακέας,Alexandros T. Tzallas,Georgina Russell	4
13	Continuous Non-Invasive Glucose Monitoring via Contact Lenses: Current Approaches and Future Perspectives 2021 ·Biosensors ·David Bamgboje,(unknown),(unknown),(unknown),(unknown),Masoud Malekzadeh,(unknown),Νικόλαος Γιαννακέας,Markos G. Tsipouras,Konstantinos Kalafatakis,Alexandros T. Tzallas	36
14	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
15	IoT Micro-Blockchain Fundamentals 2021 ·Sensors ·(unknown),Νικόλαος Γιαννακέας,Markos G. Tsipouras,Euripidis Glavas,Alexandros T. Tzallas	15
16	Improving the Accuracy of Low-Cost Sensor Measurements for Freezer Automation 2020 ·Sensors ·(unknown),Vasileios Christou,Georgios Ntritsos,Georgios Tsoumanis,Markos G. Tsipouras,Νικόλαος Γιαννακέας,Alexandros T. Tzallas	13
17	Quantification of Liver Fibrosis—A Comparative Study 2020 ·Applied Sciences ·(unknown),Markos G. Tsipouras,Alexandros T. Tzallas,Roberta Forlano,Pinelopi Manousou,Νικόλαος Γιαννακέας	29
18	Hybrid extreme learning machine approach for heterogeneous neural networks 2019 ·Neurocomputing ·Vasileios Christou,Markos G. Tsipouras,Νικόλαος Γιαννακέας,Alexandros T. Tzallas,Gavin Brown	20
19	High-Throughput, Machine Learning–Based Quantification of Steatosis, Inflammation, Ballooning, and Fibrosis in Biopsies From Patients With Nonalcoholic Fatty Liver Disease 2019 ·Clinical Gastroenterology and Hepatology ·Roberta Forlano,Benjamin H. Mullish,Νικόλαος Γιαννακέας,James Maurice,Napat Angkathunyakul,(unknown),Alexandros T. Tzallas,Markos G. Tsipouras,Michael Yee,Mark Thursz,Robert Goldin,Pinelopi Manousou	96
20	Utilization of the allen gene expression atlas to gain further insight into glucocorticoid physiology in the adult mouse brain 2019 ·Neuroscience Letters ·Konstantinos Kalafatakis,Νικόλαος Γιαννακέας,Stafford L. Lightman,Ioannis Charalampopoulos,Georgina Russell,Markos G. Tsipouras,Alexandros T. Tzallas	6

About Νικόλαος Γιαννακέας

Νικόλαος Γιαννακέας is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Hepatology, having authored 117 papers that have together received 1.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (31 papers), Liver Disease Diagnosis and Treatment (20 papers) and Functional Brain Connectivity Studies (9 papers). The work is most often cited by research in Cognitive Neuroscience (680 citations), Health Informatics (31 citations) and Biophysics (92 citations). Νικόλαος Γιαννακέας has collaborated with scholars based in Greece, United Kingdom and Slovakia. Frequent co-authors include Alexandros T. Tzallas, Markos G. Tsipouras, Katerina D. Tzimourta, Ανδρέας Μιλτιάδους, Euripidis Glavas, Dimitrios Tsalikakis, Pantelis Angelidis, Loukas G. Astrakas, Theodora Afrantou and Panagiotis Ioannidis. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hepatology and Expert Systems with Applications.

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.

Explore authors with similar magnitude of impact