Berdakh Abibullaev

1.1k total citations
56 papers, 787 citations indexed

About

Berdakh Abibullaev is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Berdakh Abibullaev has authored 56 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 12 papers in Biomedical Engineering and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Berdakh Abibullaev's work include EEG and Brain-Computer Interfaces (51 papers), Neural dynamics and brain function (12 papers) and Optical Imaging and Spectroscopy Techniques (11 papers). Berdakh Abibullaev is often cited by papers focused on EEG and Brain-Computer Interfaces (51 papers), Neural dynamics and brain function (12 papers) and Optical Imaging and Spectroscopy Techniques (11 papers). Berdakh Abibullaev collaborates with scholars based in Kazakhstan, South Korea and United States. Berdakh Abibullaev's co-authors include Jinung An, Amin Zollanvari, Sang Hyeon Jin, Nuray Yozbatıran, Amy Blank, Marcia K. O’Malley, Anusha Venkatakrishnan, Christof Karmonik, Nikunj Bhagat and Robert G. Grossman and has published in prestigious journals such as Scientific Reports, IEEE Access and Pattern Recognition Letters.

In The Last Decade

Berdakh Abibullaev

51 papers receiving 767 citations

Peers

Countries citing papers authored by Berdakh Abibullaev

Since Specialization

Citations

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

Fields of papers citing papers by Berdakh Abibullaev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Berdakh Abibullaev

This figure shows the co-authorship network connecting the top 25 collaborators of Berdakh Abibullaev. A scholar is included among the top collaborators of Berdakh Abibullaev 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 Berdakh Abibullaev. Berdakh Abibullaev 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

#	Work	Indexed citations
1	Deep learning in intracranial EEG for seizure detection: advances, challenges, and clinical applications 2025 ·Frontiers in Neuroscience ·(unknown), (unknown), Berdakh Abibullaev	0
2	Neurotechnology in Gaming: A Systematic Review of Visual Evoked Potential-Based Brain-Computer Interfaces 2025 ·IEEE Access ·(unknown), (unknown), (unknown), (unknown), Berdakh Abibullaev	2
3	Compact convolutional transformer for subject-independent motor imagery EEG-based BCIs 2024 ·Scientific Reports ·(unknown), (unknown), Berdakh Abibullaev	4
4	Data Constraints and Performance Optimization for Transformer-Based Models in EEG-Based Brain-Computer Interfaces: A Survey 2024 ·IEEE Access ·(unknown), Berdakh Abibullaev	9
5	An Ensemble of Convolutional Neural Networks for Zero-Calibration ERP-Based BCIs 2022 ·(unknown), Berdakh Abibullaev, Amin Zollanvari	3
6	Data Augmentation for P300-based Brain-Computer Interfaces Using Generative Adversarial Networks 2021 ·(unknown), Berdakh Abibullaev, Amin Zollanvari	11
7	A System For Drivers’ Cognitive Load Estimation Based On Deep Convolutional Neural Networks and Facial Feature Analysis 2021 ·(unknown), (unknown), (unknown), Berdakh Abibullaev	1
8	Deep Learning Models for Subject-Independent ERP-based Brain-Computer Interfaces 2019 ·(unknown), Berdakh Abibullaev	0
9	Novel Spatiospectral Features of ERPs Enhances Brain-Computer Interfaces 2019 ·Berdakh Abibullaev, (unknown), Amin Zollanvari	1
10	Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification 2019 ·IEEE Signal Processing Letters ·Amin Zollanvari, (unknown), Aresh Dadlani, Berdakh Abibullaev	4
11	Feature extraction and real-time recognition of hand motion intentions from EMGs via artificial neural networks 2018 ·Nazarbayev University Repository (Nazarbayev University) ·(unknown), Berdakh Abibullaev, Almas Shintemirov, Michele Folgheraiter	11
12	Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors 2016 ·Frontiers in Neuroscience ·Nikunj Bhagat, Anusha Venkatakrishnan, Berdakh Abibullaev, (unknown), Nuray Yozbatıran, Amy Blank, James A. French, Christof Karmonik, Robert G. Grossman, Marcia K. O’Malley, Gerard E. Francisco, José L. Contreras-Vidal	127
13	On Robust Classification of Hemodynamic Signals for BCIs via Multiple Kernel ν-SVM 2016 ·Berdakh Abibullaev, Jinung An	2
14	A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants 2015 ·Journal of Visualized Experiments ·Jesús G. Cruz-Garza, (unknown), (unknown), (unknown), Berdakh Abibullaev, José L. Contreras-Vidal	1
15	Decision Support Algorithm for Diagnosis of ADHD Using Electroencephalograms 2011 ·Journal of Medical Systems ·Berdakh Abibullaev, Jinung An	60
16	Classification of cardiac arrhythmias using biorthogonal wavelet preprocessing and SVM 2010 ·Berdakh Abibullaev, Won‐Seok Kang, Seung Hyun Lee, Jinung An	2
17	A New QRS Detection Method Using Wavelets and Artificial Neural Networks 2010 ·Journal of Medical Systems ·Berdakh Abibullaev, (unknown)	66
18	Seizure Detection in Temporal Lobe Epileptic EEGs Using the Best Basis Wavelet Functions 2009 ·Journal of Medical Systems ·Berdakh Abibullaev, Min Soo Kim, (unknown)	20
19	Epileptic Seizures Detection Using Continuous Time Wavelet Based Artificial Neural Networks 2009 ·Berdakh Abibullaev, (unknown)	8
20	Analysis of Brain Function and Classification of Sleep Stage EEG using Daubechies Wavelet 2008 ·Sensors and Materials ·(unknown), (unknown), Berdakh Abibullaev, Hee Seo, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	6

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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