World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
9039
World Ranking
11017
National Ranking
18

Mahmood Fathy 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 Mahmood Fathy 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: 355 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Mahmood Fathy 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 Mahmood Fathy 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Mahmood Fathy is affiliated with the Iran University of Science and Technology in Iran. Their research primarily spans the fields of Computer Science and Engineering, with notable contributions in several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Computer Networks and Communications, and Control and Systems Engineering.

The scientist's work covers a variety of main topics, such as Autonomous Vehicle Technology and Safety, Advanced Neural Network Applications, Anomaly Detection Techniques and Applications, Traffic Control and Management, AI in Cancer Detection, Traffic Prediction and Management Techniques, and Cloud Computing and Resource Management.

Mahmood Fathy's publication record includes papers in multiple esteemed venues. Frequent publication outlets include arXiv (Cornell University), Preprints.org, Expert Systems with Applications, The Journal of Supercomputing, and Electronics Letters.

Notable recent papers include:

  • Driver behavior detection and classification using deep convolutional neural networks, 2020, Expert Systems with Applications
  • Deep End-to-End One-Class Classifier, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • The improvement in obstacle detection in autonomous vehicles using YOLO non-maximum suppression fuzzy algorithm, 2021, The Journal of Supercomputing
  • Deep-HR: Fast heart rate estimation from face video under realistic conditions, 2021, Expert Systems with Applications
  • Switching Structured Prediction for Simple and Complex Human Activity Recognition, 2020, IEEE Transactions on Cybernetics

Mahmood Fathy collaborates frequently with several researchers. Frequent co-authors include Mohammad Sabokrou, Mohammad Shahverdy, Reza Berangi, Seyed Mahdi Jameii, and Guoying Zhao.

Best Publications

  • Vehicular Ad Hoc Networks (VANETs): Challenges and Perspectives

    Saleh Yousefi;Mahmoud Mousavi;Mahmood Fathy

  • Adversarially Learned One-Class Classifier for Novelty Detection

    Mohammad Sabokrou;Mohammad Khalooei;Mahmood Fathy;Ehsan Adeli

  • Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes

    Mohammad Sabokrou;Mohsen Fayyaz;Mahmood Fathy;Zahra. Moayed

  • A classified and comparative study of edge detection algorithms

    M. Sharifi;M. Fathy;M.T. Mahmoudi

  • Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions

    Reza Azad;Maryam Asadi-Aghbolaghi;Mahmood Fathy;Sergio Escalera

  • Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes

    Mohammad Sabokrou;Mohsen Fayyaz;Mahmood Fathy;Reinhard Klette

  • Analytical Model for Connectivity in Vehicular Ad Hoc Networks

    S. Yousefi;E. Altman;R. El-Azouzi;M. Fathy

  • Driver behavior detection and classification using deep convolutional neural networks

    Mohammad Shahverdy;Mahmood Fathy;Reza Berangi;Mohammad Sabokrou

  • An image detection technique based on morphological edge detection and background differencing for real-time traffic analysis

    M. Fathy;M. Y. Siyal

  • Real-time anomaly detection and localization in crowded scenes

    Mohammad Sabokrou;Mahmood Fathy;Mojtaba Hoseini;Reinhard Klette

  • An Iranian License Plate Recognition System Based on Color Features

    Amir Hossein Ashtari;Mohd Jan Nordin;Mahmood Fathy

  • Video anomaly detection and localisation based on the sparsity and reconstruction error of auto-encoder

    M. Sabokrou;M. Fathy;M. Hoseini

  • A driver face monitoring system for fatigue and distraction detection

    Mohamad-Hoseyn Sigari;Mahmood Fathy;Mohsen Soryani

  • Enhancing AODV routing protocol using mobility parameters in VANET

    O. Abedi;M. Fathy;J. Taghiloo

  • A window-based image processing technique for quantitative and qualitative analysis of road traffic parameters

    M. Fathy;M.Y. Siyal

  • A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection

    Mohamad-Hoseyn Sigari;Muhammad-Reza Pourshahabi;Mohsen Soryani;Mahmood Fathy

  • A New Robust Watermarking Scheme Based on RDWT-SVD

    Samira Lagzian;Mohsen Soryani;Mahmood Fathy

  • Real-time image processing approach to measure traffic queue parameters

    M. Fathy;M.Y. Siyal

  • Short Communication: Improving connectivity in vehicular ad hoc networks: An analytical study

    Saleh Yousefi;Eitan Altman;Rachid El-Azouzi;Mahmood Fathy

  • Deep End-to-End One-Class Classifier

    Mohammad Sabokrou;Mahmood Fathy;Guoying Zhao;Ehsan Adeli

  • Real-Time Anomaly Detection and Localization in Crowded Scenes

    Mohammad Sabokrou;Mahmood Fathy;Mojtaba Hosseini;Reinhard Klette

Frequent Co-Authors

Reinhard Klette
Reinhard Klette Auckland University of Technology
Ehsan Adeli
Ehsan Adeli Stanford University
Amir Masoud Rahmani
Amir Masoud Rahmani National Yunlin University of Science and Technology
Sergio Escalera
Sergio Escalera University of Barcelona
Mehdi Dehghan
Mehdi Dehghan Amirkabir University of Technology
Guoying Zhao
Guoying Zhao University of Oulu
Behrouz Minaei-Bidgoli
Behrouz Minaei-Bidgoli Iran University of Science and Technology
Eitan Altman
Eitan Altman French Institute for Research in Computer Science and Automation - INRIA
Fernando De la Torre
Fernando De la Torre Carnegie Mellon University
Majid Ahmadi
Majid Ahmadi University of Windsor

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