World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7808
World Ranking
8786
National Ranking
16

Aamir Saeed Malik 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 Aamir Saeed Malik 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: 392 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Aamir Saeed Malik 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 Aamir Saeed Malik 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Aamir Saeed Malik is affiliated with Brno University of Technology in the Czech Republic. Their research primarily centers on neuroscience with a significant emphasis on cognitive neuroscience. Additional areas of focus include computer vision and pattern recognition, artificial intelligence, endocrinology, diabetes and metabolism, and mechanical engineering.

The scientist's work spans several main topics, notably EEG and brain-computer interfaces, neural dynamics and brain function, functional brain connectivity studies, heart rate variability and autonomic control, gait recognition and analysis, indoor and outdoor localization technologies, and digital mental health interventions.

Recent papers authored or coauthored by Aamir Saeed Malik include:

  • Motion estimation of high density crowd using fluid dynamics, 2020, The Imaging Science Journal
  • Microscopic techniques for fabrication of polyethersulfone thin-film nanocomposite membranes intercalated with UiO-66-SO3H for heavy metal ions removal from water, 2021, Microscopy Research and Technique
  • Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm, 2023, Scientific Reports
  • Deep Learning-Based Assessment Model for Real-Time Identification of Visual Learners Using Raw EEG, 2024, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Modulation of cortical activity in response to learning and long-term memory retrieval of 2D verses stereoscopic 3D educational contents: Evidence from an EEG study, 2020, Computers in Human Behavior

Frequent coauthors collaborating with Aamir Saeed Malik are:

  • Hafeez Ullah Amin
  • Soyiba Jawed
  • Sadia Shakil
  • Ibrahima Faye
  • Mohd Zuki Yusoff

The publication venues where Aamir Saeed Malik's work frequently appears include:

  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Journal of Neural Engineering
  • The Imaging Science Journal
  • Microscopy Research and Technique
  • Scientific Reports

Best Publications

  • Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques.

    Hafeez Ullah Amin;Aamir Saeed Malik;Rana Fayyaz Ahmad;Nasreen Badruddin

  • Machine Learning Framework for the Detection of Mental Stress at Multiple Levels

    Ahmad Rauf Subhani;Wajid Mumtaz;Mohamed Naufal Bin Mohamed Saad;Nidal Kamel

  • Survey of NLOS identification and error mitigation problems in UWB-based positioning algorithms for dense environments

    Jasurbek Khodjaev;Yongwan Park;Aamir Saeed Malik

  • A wavelet-based technique to predict treatment outcome for Major Depressive Disorder.

    Wajid Mumtaz;Likun Xia;Mohd Azhar Mohd Yasin;Syed Saad Azhar Ali

  • A survey of methods used for source localization using EEG signals

    Munsif Ali Jatoi;Nidal S. Kamel;Aamir Saeed Malik;Ibrahima Faye

  • Electroencephalogram (EEG)-based computer-aided technique to diagnose major depressive disorder (MDD)

    Wajid Mumtaz;Likun Xia;Syed Saad Azhar Ali;Mohd Azhar Mohd Yasin

  • Classification of EEG Signals Based on Pattern Recognition Approach.

    Hafeez Ullah Amin;Wajid Mumtaz;Ahmad Rauf Subhani;Mohamad Naufal Mohamad Saad

  • A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD).

    Wajid Mumtaz;Syed Saad Azhar Ali;Mohd Azhar Mohd Yasin;Aamir Saeed Malik

  • Heart rate estimation using facial video: A review

    Mohamed Abul Hassan;Mohamed Abul Hassan;Aamir Saeed Malik;David Fofi;Naufal Saad

  • Acne analysis, grading and computational assessment methods: an overview.

    Roshaslinie Ramli;Aamir Saeed Malik;Ahmad Fadzil Mohamad Hani;Adawiyah Jamil

  • A novel algorithm for estimation of depth map using image focus for 3D shape recovery in the presence of noise

    Aamir Saeed Malik;Tae-Sun Choi

  • EEG based brain source localization comparison of sLORETA and eLORETA

    Munsif Ali Jatoi;Nidal Kamel;Aamir Saeed Malik;Ibrahima Faye

  • Consideration of illumination effects and optimization of window size for accurate calculation of depth map for 3D shape recovery

    Aamir Saeed Malik;Tae-Sun Choi

  • Energy consumption balancing (ECB) issues and mechanisms in wireless sensor networks (WSNs): a comprehensive overview

    Farruh Ishmanov;Aamir Saeed Malik;Sung Won Kim

  • Vegetation encroachment monitoring for transmission lines right-of-ways: A survey

    Junaid Ahmad;Aamir Saeed Malik;Likun Xia;Nadia Ashikin

  • A Review on EEG-Based Automatic Sleepiness Detection Systems for Driver

    Rodney Petrus Balandong;Rana Fayyaz Ahmad;Mohamad Naufal Mohamad Saad;Aamir Saeed Malik

  • Trust management system in wireless sensor networks: design considerations and research challenges

    Farruh Ishmanov;Aamir Saeed Malik;Sung Won Kim;Bahodir Begalov

  • A physiological signal-based method for early mental-stress detection

    Likun Xia;Aamir Saeed Malik;Ahmad Rauf Subhani

  • An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence

    Moona Mazher;Azrina Abd Aziz;Aamir Saeed Malik;Hafeez Ullah Amin

  • An EEG-based machine learning method to screen alcohol use disorder.

    Wajid Mumtaz;Pham Lam Vuong;Likun Xia;Aamir Saeed Malik

  • A brain computer interface for smart home control

    Wei Tuck Lee;Humaira Nisar;Aamir S. Malik;Kim Ho Yea

Frequent Co-Authors

Tae-Sun Choi
Tae-Sun Choi Gwangju Institute of Science and Technology
Fabrice Meriaudeau
Fabrice Meriaudeau University of Franche-Comté
Khean-Lee Goh
Khean-Lee Goh University of Malaya
Michael Riegler
Michael Riegler OsloMet – Oslo Metropolitan University
Jung-Ho Lee
Jung-Ho Lee Hanyang University
Ghulam Muhammad
Ghulam Muhammad King Saud University
Asifullah Khan
Asifullah Khan Pakistan Institute of Engineering and Applied Sciences
Pål Halvorsen
Pål Halvorsen OsloMet – Oslo Metropolitan University
Yassine Ruichek
Yassine Ruichek University of Technology of Belfort-Montbéliard

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