World's Best Scientists 2026 revealed!
Abdulhamit Subasi

Abdulhamit Subasi

D-Index & Metrics

Computer Science

D-Index
63
Citations
16453
World Ranking
2752
National Ranking
12

Abdulhamit Subasi publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Abdulhamit Subasi sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 221 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Abdulhamit Subasi D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Abdulhamit Subasi sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Abdulhamit Subasi is affiliated with Effat University in Saudi Arabia and has contributed extensively to research in the intersections of computer science, medicine, and neuroscience. Their published work spans a variety of topics, notably including EEG and brain-computer interfaces, artificial intelligence applications in cancer detection, brain tumor detection and classification, ECG monitoring and analysis, blind source separation techniques, COVID-19 diagnosis using AI, and radiomics and machine learning in medical imaging.

The scientist's main fields of study are:

  • Computer Science
  • Medicine
  • Neuroscience

Subfields of study include:

  • Artificial Intelligence
  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Signal Processing
  • Computer Vision and Pattern Recognition

Their research has been disseminated primarily through several publication venues known for technical and biomedical focus:

  • Biomedical Signal Processing and Control
  • Procedia Computer Science
  • Journal of Ambient Intelligence and Humanized Computing
  • arXiv (Cornell University)
  • IEEE Transactions on Instrumentation and Measurement

Recent papers authored or coauthored by Abdulhamit Subasi include:

  • "A Multitier Deep Learning Model for Arrhythmia Detection," 2020, IEEE Transactions on Instrumentation and Measurement
  • "Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition," 2020, Biomedical Signal Processing and Control
  • "EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier," 2021, Biomedical Signal Processing and Control
  • "Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies," 2021, Biomedical Signal Processing and Control
  • "A new fractal pattern feature generation function based emotion recognition method using EEG," 2021, Chaos Solitons & Fractals

Frequent coauthors in their publications include:

  • Saeed Mian Qaisar
  • Şengül Doğan
  • Türker Tuncer
  • Öznur Özaltın

Abdulhamit Subasi's research contributions address complex challenges in biomedical signal analysis and artificial intelligence. The work on EEG-based emotion recognition and arrhythmia detection reflects the integration of signal processing techniques and machine learning algorithms to improve diagnostic and monitoring tools in clinical settings.

Best Publications

  • EEG signal classification using wavelet feature extraction and a mixture of expert model

    Abdulhamit Subasi

  • EEG signal classification using PCA, ICA, LDA and support vector machines

    Abdulhamit Subasi;M. Ismail Gursoy

  • Classification of EEG signals using neural network and logistic regression.

    Abdulhamit Subasi;Ergun Erçelebi

  • Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders

    Abdulhamit Subasi

  • Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system

    Jasmin Kevric;Abdulhamit Subasi

  • Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction

    Emina Alickovic;Jasmin Kevric;Abdulhamit Subasi

  • Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients

    Abdulhamit Subasi

  • Congestive heart failure detection using random forest classifier

    Zerina Masetic;Abdulhamit Subasi

  • Comparison of decision tree algorithms for EMG signal classification using DWT

    Ercan Gokgoz;Abdulhamit Subasi

  • Breast cancer diagnosis using GA feature selection and Rotation Forest

    Emina AliăźKović;Abdulhamit Subasi

  • Ensemble SVM Method for Automatic Sleep Stage Classification

    Emina Alickovic;Abdulhamit Subasi

  • Traffic accident detection using random forest classifier

    Nejdet Dogru;Abdulhamit Subasi

  • Epileptic seizure detection using hybrid machine learning methods

    Abdulhamit Subasi;Jasmin Kevric;M. Abdullah Canbaz

  • Classification of EMG signals using wavelet neural network

    Abdulhamit Subasi;Mustafa Yilmaz;Hasan Riza Ozcalik

  • Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction

    Abdulhamit Subasi

  • A decision support system for automated identification of sleep stages from single-channel EEG signals

    Ahnaf Rashik Hassan;Abdulhamit Subasi

  • Epileptic seizure detection using dynamic wavelet network

    Abdulhamit Subasi

  • Classification of EMG signals using combined features and soft computing techniques

    Abdulhamit Subasi

  • An effective combining classifier approach using tree algorithms for network intrusion detection

    Jasmin Kevric;Samed Jukic;Abdulhamit Subasi

  • Automatic recognition of alertness level by using wavelet transform and artificial neural network

    M.Kemal Kiymik;Mehmet Akin;Abdulhamit Subasi

  • A Multitier Deep Learning Model for Arrhythmia Detection

    Mohamed Hammad;Abdullah M. Iliyasu;Abdulhamit Subasi;Edmond S. L. Ho

Frequent Co-Authors

Turker Tuncer
Turker Tuncer Fırat University
Sengul Dogan
Sengul Dogan Fırat University
Carlos Perez Bergmann
Carlos Perez Bergmann Federal University of Rio Grande do Sul
Jeff S. Shamma
Jeff S. Shamma University of Illinois at Urbana-Champaign
Ahmed A. Abd El-Latif
Ahmed A. Abd El-Latif Menoufia University
Yanchun Zhang
Yanchun Zhang Victoria University
Abdullah M. Iliyasu
Abdullah M. Iliyasu Prince Sattam Bin Abdulaziz University
Edmond S. L. Ho
Edmond S. L. Ho University of Glasgow

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