World's Best Scientists 2026 revealed!
Turker Tuncer

Turker Tuncer

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Computer Science
Turkey
2026

D-Index & Metrics

Computer Science

D-Index
49
Citations
7241
World Ranking
5978
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Computer Science in Turkey Leader Award
  • 2025 - Research.com Computer Science in Turkey Leader Award

Overview

Turker Tuncer is affiliated with Fırat University in Turkey and has a significant academic footprint in the fields of computer science and medicine. Their research contributions are heavily centered on topics related to cognitive neuroscience, signal processing, and artificial intelligence, with a notable emphasis on biomedical applications.

The scientist has published extensively on subjects including:

  • EEG and Brain-Computer Interfaces
  • ECG Monitoring and Analysis
  • Music and Audio Processing
  • Speech and Audio Processing
  • Emotion and Mood Recognition
  • COVID-19 diagnosis using AI
  • Blind Source Separation Techniques

Turker Tuncer's work has appeared frequently in several academic journals, with notable venues including:

  • Multimedia Tools and Applications
  • Diagnostics
  • Biomedical Signal Processing and Control
  • Expert Systems with Applications
  • Cognitive Neurodynamics

Among recent publications, several papers highlight their research scope and collaboration:

  • An automated Residual Exemplar Local Binary Pattern and iterative ReliefF based COVID-19 detection method using chest X-ray image, 2020, Chemometrics and Intelligent Laboratory Systems
  • Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques, 2020, Knowledge-Based Systems

Turker Tuncer has collaborated with many researchers, frequently co-authoring with:

  • Şengül Doğan
  • U. Rajendra Acharya
  • Prabal Datta Barua
  • Mehmet Bayğın
  • Ru-San Tan

The scientist's fields of study span across:

  • Computer Science
  • Medicine

Subfields where they have made contributions include:

  • Cognitive Neuroscience
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Cardiology and Cardiovascular Medicine

Best Publications

  • Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals

    Turker Tuncer;Sengul Dogan;Paweł Pławiak;U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya

  • An automated Residual Exemplar Local Binary Pattern and iterative ReliefF based COVID-19 detection method using chest X-ray image.

    Turker Tuncer;Sengul Dogan;Fatih Ozyurt

  • Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition

    Turker Tuncer;Sengul Dogan;Abdulhamit Subasi

  • EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier

    Abdulhamit Subasi;Abdulhamit Subasi;Turker Tuncer;Sengul Dogan;Dahiru Tanko

  • Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques

    Turker Tuncer;Sengul Dogan;U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya

  • Automated ASD detection using hybrid deep lightweight features extracted from EEG signals.

    Mehmet Baygin;Sengul Dogan;Turker Tuncer;Prabal Datta Barua

  • GaborPDNet: Gabor Transformation and Deep Neural Network for Parkinson’s Disease Detection Using EEG Signals

    Hui Wen Loh;Chui Ping Ooi;Elizabeth Palmer;Prabal Datta Barua

  • Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice

    Turker Tuncer;Sengul Dogan;Fatih Özyurt;Samir Brahim Belhaouari

  • Automated detection of Parkinson's disease using minimum average maximum tree and singular value decomposition method with vowels

    Turker Tuncer;Sengul Dogan;Udyavara Rajendra Acharya;Udyavara Rajendra Acharya;Udyavara Rajendra Acharya

  • Automated accurate fire detection system using ensemble pretrained residual network

    Unknown

  • Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals

    Unknown

  • A new fractal pattern feature generation function based emotion recognition method using EEG

    Turker Tuncer;Sengul Dogan;Abdulhamit Subasi;Abdulhamit Subasi

  • A chaotic optimization method based on logistic-sine map for numerical function optimization

    Fahrettin Burak Demir;Türker Tuncer;Adnan Fatih Kocamaz

  • EEG-based driving fatigue detection using multilevel feature extraction and iterative hybrid feature selection

    Turker Tuncer;Sengul Dogan;Abdulhamit Subasi;Abdulhamit Subasi

  • Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals

    Hui Wen Loh;Chui Ping Ooi;Emrah Aydemir;Turker Tuncer

  • PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition.

    Abdullah Dogan;Merve Akay;Prabal Datta Barua;Prabal Datta Barua;Mehmet Baygin

  • A Novel Liver Image Classification Method Using Perceptual Hash-Based Convolutional Neural Network

    Fatih Özyurt;Türker Tuncer;Engin Avci;Mustafa Koç

  • PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images

    Unknown

  • Automated Parkinson’s disease recognition based on statistical pooling method using acoustic features

    Orhan Yaman;Fatih Ertam;Turker Tuncer

  • A novel Covid-19 and Pneumonia Classification Method based on F-transform.

    Turker Tuncer;Fatih Ozyurt;Sengul Dogan;Abdulhamit Subasi;Abdulhamit Subasi

  • LEDPatNet19: Automated Emotion Recognition Model based on Nonlinear LED Pattern Feature Extraction Function using EEG Signals

    Turker Tuncer;Sengul Dogan;Abdulhamit Subasi;Abdulhamit Subasi

  • Tetromino pattern based accurate EEG emotion classification model

    Turker Tuncer;Sengul Dogan;Mehmet Baygin;U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya

  • Phishing web sites features classification based on extreme learning machine

    Yasin Sonmez;Turker Tuncer;Huseyin Gokal;Engin Avci

Frequent Co-Authors

Sengul Dogan
Sengul Dogan Fırat University
U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Abdulhamit Subasi
Abdulhamit Subasi Effat University
Moloud Abdar
Moloud Abdar Deakin University
Ganesh R. Naik
Ganesh R. Naik Flinders University
N. Arunkumar
N. Arunkumar SASTRA University
Oliver Faust
Oliver Faust Sheffield Hallam University

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