01Research activity
Electroencephalography (EEG) research by ScholarsColab researchers
What researchers combine with Electroencephalography (EEG)
Words that appear most often in these paper titles. Tap one to see those papers.
Recent focus (2024 onwards): detection, learning, signal, schizophrenia, deep, network.
02Researchers
PhD researchers working on Electroencephalography (EEG)
Every researcher below is registered on ScholarsColab and can be hired as a mentor or for a project. Publication counts are their papers on this topic.
03Research codes
Electroencephalography (EEG) research codes
Ready-to-run code on ScholarsColab for Electroencephalography (EEG) research. Our PhD researchers can help you adapt it to your own data, validate the results and write them up.
04Papers
Research papers on Electroencephalography (EEG)
- An adaptive method for feature selection and extraction for classification of epileptic EEG signal in significant states2021119 citationsJournal of King Saud University - Computer and Information SciencesV K Bairagi
- Extracting salient features for EEG-based diagnosis of Alzheimer's disease using support vector machine classifier2017119 citationsIETE Journal of ResearchV K Bairagi
- Emotion recognition by analysis of EEG signals201390 citationsAdel M. Alimi
- EEG signal analysis for early diagnosis of Alzheimer disease using spectral and wavelet based features201882 citationsInternational Journal of Information TechnologyV K Bairagi
- Time and frequency domain analysis of EEG signals for seizure detection: A review201677 citationsV K Bairagi
- A novel technique for stress detection from EEG signal using hybrid deep learning model202272 citationsNeural Computing and ApplicationsDr. Lokesh
- Hybrid deep learning approach for stress detection using decomposed EEG signals202367 citationsDiagnosticsDr. Lokesh
- Study of normal and abnormal EEG201663 citationsUsha Rani Nelakuditi
- Psychological stimulation for anxious states detection based on EEG-related features202148 citationsJournal of Ambient Intelligence and Humanized ComputingAdel M. Alimi
- Automatic classification of schizophrenia patients using resting-state EEG signals202147 citationsPhysical and Engineering Sciences in MedicineHossein Najafzadeh
- EEG-based diagnosis of alzheimer disease: a review and novel approaches for feature extraction and classification techniques201845 citationsAcademic PressV K Bairagi
- Optimized echo state network with intrinsic plasticity for EEG-based emotion recognition201744 citationsAdel M. Alimi
- Automated epilepsy seizure detection from EEG signal based on hybrid CNN and LSTM model202342 citationsSignal, Image and Video ProcessingDr. Saroj Kumar Pandey
- Drowsy driver detection by EEG analysis using Fast Fourier Transform201541 citationsAdel M. Alimi
- EEG channel selection-based binary particle swarm optimization with recurrent convolutional autoencoder for emotion recognition202339 citationsBiomedical Signal Processing and ControlAdel M. Alimi
- Epileptic seizure prediction from EEG signals using DenseNet201934 citationsSiddhartha Bhattacharyya
- Classification of EEG signals using machine learning and deep learning techniques202232 citationsInternational Journal of Health SciencesDr. Dillip Narayan Sahu
- Mind your thoughts: BCI using single EEG electrode201931 citationsIET Cyber-Physical Systems: Theory and ApplicationsRR Venkatesha Prasad
- Diagnosis of Alzheimer disease using EEG signals201428 citationsInternational Journal of Engineering ResearchV K Bairagi
- Automated detection of epileptic EEG signals using recurrence plots-based feature extraction with transfer learning: S. Goel et al.202427 citationsSoft ComputingRajeev Agarwal
- EEG data analysis for stress detection202127 citationsDr. Lokesh
- EEG microstate biomarkers for schizophrenia: a novel approach using deep neural networks202527 citationsCognitive NeurodynamicsHossein Najafzadeh
- Enhanced classification of tinnitus patients using EEG microstates and deep learning techniques202527 citationsScientific ReportsHossein Najafzadeh
- Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals201926 citationsIEEE Journal of Translational Engineering in Health and MedicineIbrahim A. Hameed
- CIS feature selection based dynamic ensemble selection model for human stress detection from EEG signals202325 citationsCluster ComputingDr. Lokesh
- Novel features extraction from EEG signals for epilepsy detection using machine learning model202318 citationsIEEE Sensors LettersUrvashi Shukla
- Early detection of dyslexia based on EEG with novel predictor extraction and selection202317 citationsDiscover Artificial IntelligenceChirag N Paunwala
- Detection of depression using weighted spectral graph clustering with EEG biomarkers202317 citationsIEEE AccessUrvashi Shukla
- Schizophrenia Detection via EEG using RNNSczNet with Attention Mechanisms and ReUL Activation202516 citationsDr Gnanajeyaraman Rajaram
- EEG microstate analysis in trigeminal neuralgia: identifying potential biomarkers for enhanced diagnostic accuracy202512 citationsActa Neurologica BelgicaHossein Najafzadeh
- Survey on various architectures of preamplifiers for electroencephalogram (EEG) signal acquisition202210 citationsMicrosystem TechnologiesJacopo Iannacci
- Epileptic EEG signal classification using exponential energy and SVM202010 citationsSanjay Agrawal
- Power analysis of EEG bands for diagnosis of Alzheimer disease20219 citationsInternational Journal of Medical Engineering and InformaticsV K Bairagi
- Novel EEG-based diagnostic framework for major depressive disorder using microstate and entropy features20259 citationsCognitive NeurodynamicsHossein Najafzadeh
- Analysis of EEG Signals for Diagnosis of Alzheimer Disease20168 citationsInternational Journal of Scientific & Engineering ResearchV K Bairagi
- Linear discriminant analysis classifies the EEG spectral features obtained from three class motor imagination20188 citationsMaanvi Bhatnagar
- Mental Stress Detection Using EEG Extracted Frequency Bands20228 citationsDr. Lokesh
- A novel method for stress measuring using EEG signals20187 citationsV K Bairagi
- Significance of independent component analysis (ICA) for epileptic seizure detection using EEG signals20167 citationsV K Bairagi
- Internet of medical things-based authentication for an optimized watermarking of encrypted EEG20247 citationsJournal of SupercomputingDivyanshu Awasthi
- Early diagnosis of Alzheimer disease using EEG signals: the role of pre-processing20236 citationsInternational Journal of Biomedical Engineering and TechnologyV K Bairagi
- Significance of pre-processing phase and dimensionality reduction in EEG-based dyslexia diagnosis with novel features20226 citationsChirag N Paunwala
- Single lead EEG acquisition system for health care applications20165 citationsUsha Rani Nelakuditi
- Removal of ocular artifacts in EEG20165 citationsUsha Rani Nelakuditi
- Advancing EEG based stress detection using spiking neural networks and convolutional spiking neural networks20255 citationsScientific ReportsDr. Lokesh
- ApEn-based epileptic EEG classification using support vector machine20174 citationsChirag N Paunwala
- An efficacy analysis of affect representation methodologies used in EEG-based emotion recognition system: An unsupervised approach20244 citationsInternational Journal of Human-Computer Interactionpriyam kar
- Performance Analysis of Random Forest Classifier in Extracting Features from the EEG signal20224 citationsDr.S.Pandikumar
- Evaluation of Utility of Invasive Electroencephalography for Definitive Surgery in Patients with Drug-Resistant Epilepsy: A Systematic Review and Meta-Analysis20244 citationsWorld NeurosurgeryAmit Kumar MITTAL
- IoT-Based EEG Measurement Analysis using LoRa Technology20243 citationsDr.K.Umapathi
- Real time SoC architectures for analysis of EEG20173 citationsV K Bairagi
- Ex rc ng S n F ur sfr EEG-b s D gn ssf A zh m r’s D ss Us ng Supp r V cr ch n C ss fr3 citationsV K Bairagi
- A Comparative Study between Supervised and Unsupervised Techniques for Two Class Emotion Recognition using EEG20233 citationspriyam kar
- Classification of epileptic seizure in EEG signal using support vector machine and EMD20203 citationsRama Komaragiri
- Event identification by fusing EEG and EMG signals20223 citationsComputational Intelligence in Healthcare ApplicationsMUNNA KHAN
- Effect of voluntary and involuntary joint movement on EEG signals20183 citationsJournal of Scientific and Industrial ResearchMUNNA KHAN
- EEG Based Identification of Learning Disabilities using Deep Learning Algorithms20243 citationsP. Jayadharshini
- Parallel Investigation of EEG Microstate Dynamics and Resting-State fMRI Patterns for Tinnitus Classification Using Deep Learning20253 citationsHossein Najafzadeh
- Deep learning method for early Alzheimer disease diagnosis based on EEG signal20232 citationsV K Bairagi
- Brain Seizure Detection and Classification Using EEG Signals20212 citationsAcademic PressV K Bairagi
- Time and frequency domain analysis of EEG signals for seizure detection20162 citationsV K Bairagi
- EEG Signal Classification for Epileptogenic Zone and Seizure Zone20182 citationsChirag N Paunwala
- Detecting Seizures from EEG Data: The Potential of Deep Learning Techniques20232 citationsNarayan Vyas
- Short-window EEG-based auditory attention decoding for neuroadaptive hearing support for smart healthcare20252 citationsNeuroscience InformaticsDr Rajesh Dey
- Chronic caffeine consumption, alone or combined with agomelatine or quetiapine, reduces the maximum EEG peak, as linked to cortical neurodegeneration, ovarian estrogen receptor …20242 citationsPsychopharmacologySherine Abdelmissih
- Comment on “Systematic Review and Meta-analysis of Efficacy and Safety of Melatonin and Triclofos for Inducing Adequate Sedation for sleep EEG in Children”20222 citationsJournal of Neurosciences in Rural PracticeDr Amit Agrawal
- A hybrid CNN-GNN approach for enhanced early detection of schizophrenia using EEG data20252 citationsDr Gnanajeyaraman Rajaram
- Deep Learning for Epileptic Seizure Detection in EEG Signals20232 citationsDr. Saroj Kumar Pandey
- Diagnosis of Alzheimer’s Disease, Parkinson’s Disease, Frontotemporal Dementia, and Paranoid Schizophrenia via Complex Network Analysis of EEG Data20252 citationsPrecision NanomedicineMiguel Angel Vargas Cruz
- LightFFNet: MDD prediction on EEG quantitative biomarkers20222 citationsUrvashi Shukla
- Methods for the elimination of ocular artefacts from EEG20181 citationsInternational Journal of Biomedical Engineering and TechnologyUsha Rani Nelakuditi
- EEG-Based Personalized Emotion Recognition and Receptive Music Therapy System in the Aid of Autism Patients20251 citationsDr. Mallikharjuna Rao K
- Identification of Biomarker for Autism Spectrum Disorder Using Eeg: A Review20231 citationsDr Senbagavalli M
- RNNSczNet: Recurrent Neural Network with attention and ReUL for the Detection of Schizophrenia using EEG Signals20251 citationsDr Gnanajeyaraman Rajaram
- automated epilepsy seizure detection from EEG signals using deep CNN model20201 citationsArtificial intelligence and machine learning inDr. Saroj Kumar Pandey
- Advancements in EEG-Based Machine Learning Techniques for Early Autism Spectrum Disorder Diagnosis: A Review20251 citationsShahid Munir Shah
- Paranoid Schizophrenia Diagnosis via Complex Network Analysis on EEG Data20251 citationsPrecision NanomedicineMiguel Angel Vargas Cruz
- A Multi-channel EEG Biomarker Weighted Spectral Clustering Model for MDD Prediction20231 citationsUrvashi Shukla
- PaperNet: Efficient Temporal Convolutions and Channel Residual Attention for EEG Epilepsy Detection20251 citationsMd Shahriar Sajid
- Supervised autoencoder for gradient and BCG artifact removal in EEG during simultaneous EEG-fMRI20261 citationsMagnetic Resonance ImagingKhondakar Ashik Shahriar
- Deep Learning Approach for Emotion Recognition Using EEG Signals20240 citationsSolid State TechnologyDr Udaya Kumar Addanki
- Impact of EEG Rhythm on the Prognosis of Epilepsy0 citationsChirag N Paunwala
- Electroencephalography classification technique based on statistical denoising and modified k-nearest neighbor algorithm with bipolar sigmoid rectified linear unit’s function20250 citationsInternational Journal of Electrical and Computer EngineeringDr.K.Ezhilarasan
- Multimodal Coherence-Correlation Fusion of EEG and ECoG Signals for Enhanced Epileptic Seizure Detection Using Discrete Lyapunov Wavelet Transform20250 citationsIEEE AccessPadma Prasada
- k-NN and LDA based Motor Imagery EEG Classification using Phase Features20180 citationsMaanvi Bhatnagar
- Ultra Power-Efficient Flipped Source Follower Filter for EEG Acquisition Systems20250 citationsAshish Sachdeva
- Recognition of Major Depressive Disorder via Alpha Power and Theta Asymmetry in Publicly Available EEG Datasets Employing Machine Learning Approaches20240 citationsDr Rupali Mahajan
- Frequency Band Power-based EEG Channel Selection for Emotion Recognition20240 citationspriyam kar
- Validation of Affect representation models using EEG: An unsupervised approach20230 citationspriyam kar
- Improving Autism Detection Accuracy with an Optimized Local-Asymmetric Adaptive Hybrid GCN for EEG Data20260 citationsData and MetadataDr Senbagavalli M
- A Deep Learning Approach To Mental State Analysis from Eeg Graphs For Early Mental Health Awareness20250 citationsInternational Journal of Scientific Research & Engineering TrendsDr. Jagannath Nalavde
- Generalized triphasic waves EEG pattern in autoimmune encephalopathy20190 citationsJournal of the Neurological SciencesDr. Manisha Shah
- EEGmark: LWT and Dual Decomposition-Based Secure EEG Watermarking with Optimization20260 citationsMultimedia and Multimodal Intelligence for Sustainable DevelopmentDivyanshu Awasthi
- Stress detection using EEG signals: comparative analysis of machine learning models and feature extraction20260 citationsLife Cycle Reliability and Safety EngineeringDr. Lokesh
- Performance Evaluation of ML and DL Models for EEG-Based Stress Detection Using the DASPS Dataset20250 citationsDr. Lokesh
- Intelligent System for Detection of Depression Using Non-supervised Classification of EEG Quantitative20250 citationsUrvashi Shukla
- Intelligent System for Detection of Depression Using Non-supervised Classification of EEG Quantitative Biomarkers20240 citationsUrvashi Shukla
- Automated depression detection using ensemble light feed-forward neural Net EEG quantitative biomarkers20230 citationsUrvashi Shukla
- A Novel Decentralized Federated Incremental Learning Framework for ECG and EEG Signal Analysis20250 citationsInternational Journal of ComputingRostom MENNOUR
- Bidirectional EEG–fMRI Reconstruction via a Shared Latent Space for Cross-Modal Neuroimaging20260 citationsKhondakar Ashik Shahriar
- On the Use of Graph Convolutional Network for Detecting Major Depressive Disorders using EEG Signals20250 citationsYoussef Elmir
05Journals
Journals that publish Electroencephalography (EEG) research
Where our researchers published their papers on this topic, with each journal’s indexing.
| Journal | Indexing | Impact factor* | Papers |
|---|---|---|---|
| International Journal of Biomedical Engineering and Technology | ESCIScopusJCR 2024 | 0.88 Q4 | 2 |
| Academic Press | Not listed in our indexing lists | – | 2 |
| IEEE Access | SCIEScopusJCR 2024 | 6.50 Q1 | 2 |
| Precision Nanomedicine | Scopus | 0.89 | 2 |
| Scientific Reports | SCIEScopusJCR 2024 | 5.26 Q1 | 2 |
| Cognitive Neurodynamics | SCIEScopusJCR 2024 | 3.90 Q2 | 2 |
| Solid State Technology | Scopus | – | 1 |
| IET Cyber-Physical Systems: Theory and Applications | ESCIScopusJCR 2024 | 3.44 Q2 | 1 |
| Journal of Ambient Intelligence and Humanized Computing | Scopus | 2.22 | 1 |
| Biomedical Signal Processing and Control | SCIEScopusJCR 2024 | 5.13 Q2 | 1 |
| Journal of King Saud University - Computer and Information Sciences | SCIEScopusJCR 2024 | 4.31 Q2 | 1 |
| IETE Journal of Research | SCIEScopusJCR 2024 | 1.66 Q3 | 1 |
| International Journal of Information Technology | Scopus | 6.28 | 1 |
| International Journal of Engineering Research | Not listed in our indexing lists | – | 1 |
| International Journal of Medical Engineering and Informatics | Scopus | 0.19 | 1 |
*Impact factor and quartile calculated from OpenAlex open data where available; official Journal Impact Factors are published by Clarivate. Indexing from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists. Find the right journal for your own paper →
06Top 2% scientists
World’s Top 2% scientists in Neurology & Neurosurgery
The Stanford/Elsevier World’s Top 2% Scientists list ranks researchers by a composite citation indicator. Neurology & Neurosurgery is the research subfield closest to Electroencephalography (EEG) in that list; 7,826 researchers from 65 countries are listed in it.
| Researcher | Institution | Country | World rank |
|---|---|---|---|
| Friston, K. J. | UCL Queen Square Institute of Neurology | United Kingdom | 5 |
| McEwen, Bruce S. | Rockefeller University | United States | 8 |
| Mattson, Mark P. | Johns Hopkins University School of Medicine | United States | 25 |
| Selkoe, Dennis J. | Brigham and Women's Hospital | United States | 41 |
| Petersen, Ronald C. | Mayo Clinic in Rochester, Minnesota | United States | 66 |
| Reíter, Rüssel J. | The University of Texas Health Science Center at San Antonio | United States | 67 |
| Cummings, Jeffrey L. | Cleveland Clinic Lerner College of Medicine of Case Western Reserve University | United States | 77 |
| Koob, George F. | National Institute on Drug Abuse (NIDA) | United States | 80 |
| Buzsáki, Gÿorgy | NYU Grossman School of Medicine | United States | 108 |
| Jankovic, Joseph J. | Baylor College of Medicine | United States | 115 |
| Südhof, Thomas Christian | Stanford University School of Medicine | United States | 117 |
| Nestler, Eric J. | Icahn School of Medicine at Mount Sinai | United States | 124 |
Source: Elsevier Data Repository, Ioannidis et al., 2026 edition, citations to the end of 2025 (career-long ranking). ScholarsColab is not affiliated with Stanford University or Elsevier, and the researchers listed are not ScholarsColab mentors unless marked so above.
07Related topics
Topics related to Electroencephalography (EEG)
Topics that share the most papers with Electroencephalography (EEG) in our researchers’ work:
- Alzheimer Disease19 papers · 7 researchers
- Schizophrenia20 papers · 9 researchers
- Autism Spectrum22 papers · 20 researchers
- Deep Learning (DL)968 papers · 331 researchers
- Alzheimer's Disease65 papers · 37 researchers
- Meta-analysis103 papers · 35 researchers
- Machine Learning (ML)1,348 papers · 424 researchers
- Clustering274 papers · 109 researchers
- Neural Network819 papers · 267 researchers
08Questions
Frequently asked questions
What do researchers study in Electroencephalography (EEG)?
In papers by ScholarsColab researchers, Electroencephalography (EEG) appears most often together with signal, detection, learning, classification, feature, deep. Work since 2024 focuses most on detection, learning, signal, schizophrenia.
Who works on Electroencephalography (EEG) research?
44 PhD researchers on ScholarsColab have published on Electroencephalography (EEG) (101 papers), including V K Bairagi, Dr. Lokesh, Urvashi Shukla. Each has a public profile with their Google Scholar publications, and you can hire them as a mentor or for a research project.
Which journals publish Electroencephalography (EEG) research?
Our researchers published their Electroencephalography (EEG) papers in 45 journals, most often in International Journal of Biomedical Engineering and Technology, Academic Press, IEEE Access, Precision Nanomedicine. The journal table on this page shows the indexing of each one (SCIE, Scopus, ESCI).
How many research papers on Electroencephalography (EEG) are on ScholarsColab?
101 papers published between 2013 and 2026, cited 1,546 times in total (median 3 citations per paper). The list updates automatically as researchers join and publish.
Is there ready-made code for Electroencephalography (EEG) research?
Yes. ScholarsColab has 6 research codes related to Electroencephalography (EEG), including EEG Sensors Relational Analysis and Adjacency Matrix Generation, EEG Signal Spatiotemporal Features Extraction Using Graphical Deep Learning, EEG Signal Processing for Advanced Graphical Deep Learning. A PhD researcher can help you adapt the code to your own data.
Can I hire a PhD expert in Electroencephalography (EEG) for my thesis or paper?
Yes. Open any researcher profile on this page to see their publications, then post your project or hire them directly. For a paper you have already written, a Manuscript Audit by a reviewer in Electroencephalography (EEG) shows what to fix before you submit, and Journal Selection shortlists up to five journals that match it.
Need a PhD expert in Electroencephalography (EEG)?
Hire a researcher who has published on this topic to guide your thesis or project, or get your manuscript audited and matched to the right journal before you submit.
