Iοannis Kakkos

1.2k total citations · 1 hit paper
42 papers, 679 citations indexed

About

Iοannis Kakkos is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Iοannis Kakkos has authored 42 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 12 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biomedical Engineering. Recurrent topics in Iοannis Kakkos's work include EEG and Brain-Computer Interfaces (19 papers), Functional Brain Connectivity Studies (16 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Iοannis Kakkos is often cited by papers focused on EEG and Brain-Computer Interfaces (19 papers), Functional Brain Connectivity Studies (16 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Iοannis Kakkos collaborates with scholars based in Greece, China and Singapore. Iοannis Kakkos's co-authors include George K. Matsopoulos, Yu Sun, Georgios Ν. Dimitrakopoulos, Anastasios Bezerianos, Athanasios D. Panagopoulos, Zhongxiang Dai, Nitish V. Thakor, Joshua de Souza, Hongtao Wang and Kyriakos Sgarbas and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Sensors.

In The Last Decade

Iοannis Kakkos

34 papers receiving 666 citations

Hit Papers

A Review of ARIMA vs. Machine Learning Approaches for Tim... 2023 2026 2024 2025 2023 40 80 120
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.

  1. A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks
    2023 137 citations Iοannis Kakkos, George K. Matsopoulos et al. profile →

Peers

Iοannis Kakkos
Uri Maoz United States
Sébastien Scannella France
Chongxun Zheng China
Nikolaos S. Tachos Greece
Gautier Durantin Australia
Rana Fayyaz Ahmad Malaysia
Nagarajan Ganapathy India
Peng Ren China
Frederic D. McKenzie United States
Evanthia E. Tripoliti Greece
Uri Maoz United States
Iοannis Kakkos
Citations per year, relative to Iοannis Kakkos Iοannis Kakkos (= 1×) peers Uri Maoz

Countries citing papers authored by Iοannis Kakkos

Since Specialization
Citations

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

Fields of papers citing papers by Iοannis Kakkos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iοannis Kakkos

This figure shows the co-authorship network connecting the top 25 collaborators of Iοannis Kakkos. A scholar is included among the top collaborators of Iοannis Kakkos 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 Iοannis Kakkos. Iοannis Kakkos 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.
Tachos, Nikolaos S., Emilios E. Pakos, Nikolaos D. Tselikas, et al.. (2025). Exploring New Tools in Upper Limb Rehabilitation After Stroke Using an Exoskeletal Aid: A Pilot Randomized Control Study. Healthcare. 13(1). 91–91. 1 indexed citations
2.
Kakkos, Iοannis, Xiaoyu Li, George K. Matsopoulos, et al.. (2025). FBCPM: A Filter Bank Connectome-Based Predictive Modeling Framework for EEG Signals. IEEE Journal of Biomedical and Health Informatics. 29(7). 4703–4715.
3.
Politi, Elena, Georgios Ν. Dimitrakopoulos, Michael Georgoulis, et al.. (2025). Integrated Framework for Managing Childhood Obesity Based on Biobanks, AI Tools and Methods, and Serious Games. Electronics. 14(10). 2053–2053.
4.
Zhao, Feng, Iοannis Kakkos, George K. Matsopoulos, Cuntai Guan, & Yu Sun. (2025). Explaining E/MEG Source Imaging and Beyond: An Updated Review. IEEE Journal of Biomedical and Health Informatics. 29(12). 9271–9286. 1 indexed citations
5.
Kakkos, Iοannis, et al.. (2025). Rad-EfficientNet: Improving Breast MRI Diagnosis Through Integration of Radiomics and Deep Learning. IEEE Journal of Biomedical and Health Informatics. 29(8). 5667–5674.
6.
Kakkos, Iοannis, et al.. (2025). Comparative Analysis of Deep Neural Networks for Automated Ulcerative Colitis Severity Assessment. Bioengineering. 12(4). 413–413.
7.
Wu, Kuijun, et al.. (2024). Brain Network Reorganization in Response to Multilevel Mental Workload in Simulated Flight Tasks. IEEE Transactions on Cognitive and Developmental Systems. 17(3). 698–709. 2 indexed citations
8.
Kakkos, Iοannis, et al.. (2024). Recent Web Platforms for Multi-Omics Integration Unlocking Biological Complexity. Applied Sciences. 15(1). 329–329. 7 indexed citations
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11.
Kakkos, Iοannis, et al.. (2024). Enhancing Sports Injury Risk Assessment in Soccer Through Machine Learning and Training Load Analysis. Journal of Sports Science and Medicine. 23(1). 537–547. 5 indexed citations
12.
Kakkos, Iοannis, et al.. (2024). Towards Automation in Radiotherapy Planning: A Deep Learning Approach for the Delineation of Parotid Glands in Head and Neck Cancer. Bioengineering. 11(3). 214–214. 3 indexed citations
13.
Qi, Peng, Iοannis Kakkos, Kuijun Wu, et al.. (2023). Individualized Prediction of Task Performance Decline Using Pre-Task Resting-State Functional Connectivity. IEEE Journal of Biomedical and Health Informatics. 27(10). 4971–4982. 1 indexed citations
14.
Kakkos, Iοannis, et al.. (2023). Applying Neural Networks with Time-Frequency Features for the Detection of Mental Fatigue. Applied Sciences. 13(3). 1512–1512. 14 indexed citations
15.
Dimitrakopoulos, Georgios Ν., et al.. (2023). Cognitive Reorganization Due to Mental Workload: A Functional Connectivity Analysis Based on Working Memory Paradigms. Applied Sciences. 13(4). 2129–2129. 13 indexed citations
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Kakkos, Iοannis, P. Karaiskos, Vassilis Kouloulias, et al.. (2022). Early Prediction of Planning Adaptation Requirement Indication Due to Volumetric Alterations in Head and Neck Cancer Radiotherapy: A Machine Learning Approach. Cancers. 14(15). 3573–3573. 9 indexed citations
18.
Kakkos, Iοannis, Errikos-Chaim Ventouras, Pantelis A. Asvestas, Irene S. Karanasiou, & George K. Matsopoulos. (2020). A condition-independent framework for the classification of error-related brain activity. Medical & Biological Engineering & Computing. 58(3). 573–587. 10 indexed citations
19.
Gong, Chen, Georgios Ν. Dimitrakopoulos, Iοannis Kakkos, et al.. (2017). Identification of gait-related brain activity using electroencephalographic signals. 548–551. 5 indexed citations
20.
Teh, Daniel Boon Loong, Ankshita Prasad, Iοannis Kakkos, et al.. (2017). Neuroprotective assessment of prolonged local hypothermia post contusive spinal cord injury in rodent model. The Spine Journal. 18(3). 507–514. 17 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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