Νικόλαος Γιαννακέας

2.5k total citations · 2 hit papers
117 papers, 1.6k citations indexed

About

Νικόλαος Γιαννακέας is a scholar working on Cognitive Neuroscience, Epidemiology and Molecular Biology. According to data from OpenAlex, Νικόλαος Γιαννακέας has authored 117 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 21 papers in Epidemiology and 20 papers in Molecular Biology. Recurrent topics in Νικόλαος Γιαννακέας's work include EEG and Brain-Computer Interfaces (31 papers), Liver Disease Diagnosis and Treatment (20 papers) and Functional Brain Connectivity Studies (9 papers). Νικόλαος Γιαννακέας is often cited by papers focused on EEG and Brain-Computer Interfaces (31 papers), Liver Disease Diagnosis and Treatment (20 papers) and Functional Brain Connectivity Studies (9 papers). Νικόλαος Γιαννακέας collaborates with scholars based in Greece, United Kingdom and Malta. Νικόλαος Γιαννακέας's co-authors include Alexandros T. Tzallas, Markos G. Tsipouras, Katerina D. Tzimourta, Ανδρέας Μιλτιάδους, Euripidis Glavas, Dimitrios Tsalikakis, Pantelis Angelidis, Theodora Afrantou, Loukas G. Astrakas and Pinelopi Manousou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hepatology and Expert Systems with Applications.

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. 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 — A (Enhanced Table)

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

Name	h						Papers	Cites
Νικόλαος Γιαννακέας Greece	22	680	300	197	184	151	117	1.6k
Pieter Kubben Netherlands	23	785 1.2×	156 0.5×	154 0.8×	201 1.1×	77 0.5×	81	2.1k
Maryam Panahiazar United States	14	341 0.5×	347 1.2×	166 0.8×	58 0.3×	166 1.1×	36	1.2k
Shreya Bhat India	12	736 1.1×	153 0.5×	235 1.2×	42 0.2×	117 0.8×	21	1.3k
Jahmunah Vicnesh Singapore	22	880 1.3×	267 0.9×	647 3.3×	75 0.4×	52 0.3×	38	1.8k
Thorsten Dickhaus Germany	18	1.4k 2.0×	134 0.4×	124 0.6×	76 0.4×	219 1.5×	67	2.6k
Shuicai Wu China	28	486 0.7×	325 1.1×	382 1.9×	181 1.0×	76 0.5×	171	2.3k
Hamid Reza Marateb Iran	20	766 1.1×	193 0.6×	168 0.9×	46 0.3×	60 0.4×	81	1.7k
Hui Wen Loh Singapore	17	485 0.7×	304 1.0×	247 1.3×	39 0.2×	46 0.3×	21	1.4k
S. Vinitha Sree Singapore	10	593 0.9×	348 1.2×	301 1.5×	33 0.2×	80 0.5×	10	1.3k
Vasileios C. Pezoulas Greece	13	432 0.6×	161 0.5×	151 0.8×	35 0.2×	66 0.4×	71	968

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

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20 of 20 papers shown

Μιλτιάδους, Ανδρέας, et al.. (2025). Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis. 775–780.

Karamoutsios, Achilleas, Chrysoula Voidarou, Konstantina Fotou, et al.. (2025). Innovations in Proteomic Technologies and Artificial Neural Networks: Unlocking Milk Origin Identification. BioTech. 14(2). 33–33. 1 indexed citations

Μιλτιάδους, Ανδρέας, et al.. (2025). Multiplayer Virtual Labs for Electronic Circuit Design: A Digital Twin-Based Learning Approach. Electronics. 14(16). 3163–3163.

Karvelis, Petros, et al.. (2024). How natural language processing derived techniques are used on biological data: a systematic review. Network Modeling Analysis in Health Informatics and Bioinformatics. 13(1). 4 indexed citations

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 →

Ntritsos, Georgios, et al.. (2023). Deep Learning for Lung Cancer Diagnosis, Prognosis and Prediction Using Histological and Cytological Images: A Systematic Review. Cancers. 15(15). 3981–3981. 37 indexed citations

Christou, Vasileios, et al.. (2023). An Improved Medical Image Compression Method Based on Wavelet Difference Reduction. IEEE Access. 11. 18026–18037. 9 indexed citations

Μιλτιάδους, Ανδρέας, et al.. (2023). DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals. IEEE Access. 11. 71840–71858. 91 indexed citations breakdown →

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

10.

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

11.

Konstantinidis, Athanasios, Christos Kyriakopoulos, Georgios Ntritsos, et al.. (2022). The Role of Digital Tools in the Timely Diagnosis and Prevention of Acute Exacerbations of COPD: A Comprehensive Review of the Literature. Diagnostics. 12(2). 269–269. 5 indexed citations

12.

Tsoumanis, Georgios, Νικόλαος Γιαννακέας, Alexandros T. Tzallas, et al.. (2022). A Traffic-Load-Based Algorithm for Wireless Sensor Networks’ Lifetime Extension. Information. 13(4). 202–202. 1 indexed citations

13.

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

14.

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

15.

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

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, et al.. (2018). Fat Quantitation in Liver Biopsies Using a Pretrained Classification Based System. Engineering Technology & Applied Science Research. 8(6). 3550–3555. 5 indexed citations

19.

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

20.

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

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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