World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7019
World Ranking
8428
National Ranking
511

Maysam F. Abbod 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 Maysam F. Abbod 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 340 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Maysam F. Abbod 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 Maysam F. Abbod sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Maysam F. Abbod is affiliated with Brunel University London in the United Kingdom. Their research spans multiple disciplines, with a particular focus on engineering, medicine, and computer science. Abbod's extensive work covers a total of 102 publications in engineering, 62 in medicine, and 56 in computer science, reflecting a multidisciplinary approach to scientific inquiry.

The scientist's specialization includes subfields such as electrical and electronic engineering, cardiology and cardiovascular medicine, artificial intelligence, biomedical engineering, and control and systems engineering. These subfields highlight a diverse expertise in both theoretical and applied aspects of technology and healthcare.

Abbod's research topics consist of:

  • Non-Invasive Vital Sign Monitoring
  • Heart Rate Variability and Autonomic Control
  • EEG and Brain-Computer Interfaces
  • ECG Monitoring and Analysis
  • Imbalanced Data Classification Techniques
  • Advanced Wireless Communication Technologies
  • Advanced Neural Network Applications

Their publication record includes frequent contributions to journals such as Sensors, Electronics, IEEE Access, Energies, and the International Journal of Simulation Systems Science & Technology. The volume of publications in these venues indicates consistent engagement with topics related to sensor technologies, electronics, and energy systems.

Notable recent papers by Maysam F. Abbod include:

  • "Pain and Stress Detection Using Wearable Sensors and Devices-A Review," 2021, Sensors
  • "ECG arrhythmia classification by using a recurrence plot and convolutional neural network," 2020, Biomedical Signal Processing and Control
  • "Defect Detection in Printed Circuit Boards Using You-Only-Look-Once Convolutional Neural Networks," 2020, Electronics
  • "A particle swarm optimisation-trained feedforward neural network for predicting the maximum power point of a photovoltaic array," 2020, Engineering Applications of Artificial Intelligence
  • "Data-driven based HVAC optimisation approaches: A Systematic Literature Review," 2021, Journal of Building Engineering

Frequent collaborators of Abbod include Jiann-Shing Shieh, Hamed Al-Raweshidy, Shou-Zen Fan, Sadeq D. Al-Majidi, and Mohamed Gaballa. These collaborations reflect interdisciplinary research efforts across engineering and applied sciences.

Best Publications

  • Survey of utilisation of fuzzy technology in medicine and healthcare

    Maysam F. Abbod;Diedrich G. von Keyserlingk;Derek A. Linkens;Mahdi Mahfouf

  • Classifiers consensus system approach for credit scoring

    Maher Ala'raj;Maysam F. Abbod

  • A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems

    Sadeq D. Al-Majidi;Sadeq D. Al-Majidi;Maysam F. Abbod;Hamed S. Al-Raweshidy

  • A survey of fuzzy logic monitoring and control utilisation in medicine

    M Mahfouf;M.F Abbod;D.A Linkens

  • Pain and Stress Detection Using Wearable Sensors and Devices—A Review

    Jerry Chen;Maysam Abbod;Jiann-Shing Shieh

  • ECG arrhythmia classification by using a recurrence plot and convolutional neural network

    Bhekumuzi M. Mathunjwa;Yin-Tsong Lin;Chien-Hung Lin;Maysam F. Abbod

  • A new hybrid ensemble credit scoring model based on classifiers consensus system approach

    Maher Ala'raj;Maysam F. Abbod

  • Defect Detection in Printed Circuit Boards Using You-Only-Look-Once Convolutional Neural Networks

    Venkat Anil Adibhatla;Huan-Chuang Chih;Chi-Chang Hsu;Joseph Cheng

  • Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks.

    James W. F. Catto;Derek A. Linkens;Maysam F. Abbod;Minyou Chen

  • Multiresolution analysis using wavelet, ridgelet, and curvelet transforms for medical image segmentation

    Shadi AlZubi;Naveed Islam;Maysam Abbod

  • Fuzzy Logic-Based Anti-Sway Control Design for Overhead Cranes

    Mahdi Mahfouf;C. H. Kee;Maysam F. Abbod;Derek A. Linkens

  • Application of artificial intelligence to the management of urological cancer.

    Maysam F. Abbod;James W.F. Catto;Derek A. Linkens;Freddie C. Hamdy

  • A particle swarm optimisation-trained feedforward neural network for predicting the maximum power point of a photovoltaic array

    Sadeq D. Al-Majidi;Sadeq D. Al-Majidi;Maysam F. Abbod;Hamed S. Al-Raweshidy

  • Microwave plasma system design and modelling for marine diesel exhaust gas abatement of NOx and SOx

    N Manivannan;W Balachandran;R Beleca;M Abbod

  • Data-driven based HVAC optimisation approaches: A Systematic Literature Review

    Maher Ala’raj;Mohammed Radi;Maysam F. Abbod;Munir Majdalawieh

  • Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once.

    Venkat Anil Adibhatla;Huan-Chuang Chih;Chi-Chang Hsu;Joseph Cheng

  • MANET routing protocols taxonomy

    Nagham H. Saeed;Maysam F. Abbod;Hamed S. Al-Raweshidy

  • Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia

    Jeng-Rung Huang;Shou-Zen Fan;Maysam F. Abbod;Kuo-Kuang Jen

  • Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries.

    Quan Liu;Li Ma;Shou-Zen Fan;Maysam F Abbod

  • The Application of Artificial Intelligence to Microarray Data: Identification of a Novel Gene Signature to Identify Bladder Cancer Progression

    James W.F. Catto;Maysam F. Abbod;Peter J. Wild;Derek A. Linkens

  • Analysis of EEG via Multivariate Empirical Mode Decomposition for Depth of Anesthesia Based on Sample Entropy

    Qin Wei;Quan Liu;Shou-Zhen Fan;Cheng-Wei Lu

  • Artificial Intelligence in Predicting Bladder Cancer Outcome

    James W. F. Catto;Derek A. Linkens;Maysam F. Abbod;Minyou Chen

Frequent Co-Authors

Derek A. Linkens
Derek A. Linkens University of Sheffield
Abbes Amira
Abbes Amira University of Sharjah
Ahmed F. Zobaa
Ahmed F. Zobaa Brunel University London
Mark Meuth
Mark Meuth University of Sheffield
Amedeo Lancia
Amedeo Lancia University of Naples Federico II
Jenny L Donovan
Jenny L Donovan University of Bristol
Hak-Keung Lam
Hak-Keung Lam King's College London
Vasile Palade
Vasile Palade Coventry University

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