World's Best Scientists 2026 revealed!
Faycal Bensaali

Faycal Bensaali

D-Index & Metrics

Computer Science

D-Index
40
Citations
5489
World Ranking
9417
National Ranking
16

Faycal Bensaali 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 Faycal Bensaali 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Faycal Bensaali 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 Faycal Bensaali 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Faycal Bensaali is affiliated with Qatar University in Qatar and has contributed extensively to the fields of engineering and computer science. Their research predominantly focuses on electrical and electronic engineering, computer vision and pattern recognition, building and construction, artificial intelligence, and biomedical engineering.

The main topics covered by their work include:

  • Smart Grid Energy Management
  • Building Energy and Comfort Optimization
  • Green IT and Sustainability
  • Energy Efficiency and Management
  • IoT-based Smart Home Systems
  • Air Quality Monitoring and Forecasting
  • Context-Aware Activity Recognition Systems

Faycal Bensaali has published in a range of venues, with frequent publications in:

  • arXiv (Cornell University)
  • Applied Energy
  • Engineering Applications of Artificial Intelligence
  • International Journal of Intelligent Systems
  • SSRN Electronic Journal

Selected recent papers illustrate the focus and extent of their research output:

  • Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives (2021), Applied Energy
  • AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives (2022), Artificial Intelligence Review
  • A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects (2021), Information Fusion
  • A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks (2020), Cognitive Computation
  • Deep transfer learning for automatic speech recognition: Towards better generalization (2023), Knowledge-Based Systems

The researcher collaborates frequently with a core group of coauthors, including:

  • Yassine Himeur
  • Abbes Amira
  • Abdullah Alsalemi
  • Iraklis Varlamis
  • Aya Nabil Sayed

Best Publications

  • Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives

    Yassine Himeur;Khalida Ghanem;Abdullah Alsalemi;Faycal Bensaali

  • Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives

    Unknown

  • A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects

    Yassine Himeur;Abdullah Alsalemi;Ayman Al-Kababji;Faycal Bensaali

  • Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization

    Unknown

  • MLP Neural Network Based Gas Classification System on Zynq SoC

    Xiaojun Zhai;Amine Ait Si Ali;Abbes Amira;Faycal Bensaali

  • A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks

    Yassine Himeur;Abdullah Alsalemi;Faycal Bensaali;Abbes Amira

  • Deep and transfer learning for building occupancy detection: A review and comparative analysis

    Unknown

  • Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree

    Yassine Himeur;Abdullah Alsalemi;Faycal Bensaali;Abbes Amira

  • Smart power consumption abnormality detection in buildings using micromoments and improved K‐nearest neighbors

    Yassine Himeur;Abdullah Alsalemi;Faycal Bensaali;Abbes Amira

  • Building power consumption datasets: Survey, taxonomy and future directions

    Yassine Himeur;Abdullah Alsalemi;Faycal Bensaali;Abbes Amira

  • Blockchain-based recommender systems: Applications, challenges and future opportunities

    Yassine Himeur;Aya Sayed;Abdullah Alsalemi;Abdullah Alsalemi;Faycal Bensaali

  • The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency

    Christos Sardianos;Iraklis Varlamis;Christos Chronis;George Dimitrakopoulos

  • An Empirical Study for PCA- and LDA-Based Feature Reduction for Gas Identification

    Muhammad Ali Akbar;Amine Ait Si Ali;Abbes Amira;Faycal Bensaali

  • Compressive Sensing-Based IoT Applications: A Review

    Hamza Djelouat;Abbes Amira;Faycal Bensaali

  • Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations

    Abdullah Alsalemi;Yassine Himeur;Faycal Bensaali;Abbes Amira

  • The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving

    Abdullah Alsalemi;Christos Sardianos;Faycal Bensaali;Iraklis Varlamis

  • Smart fusion of sensor data and human feedback for personalized energy-saving recommendations

    Iraklis Varlamis;Christos Sardianos;Christos Chronis;George Dimitrakopoulos

  • Using big data and federated learning for generating energy efficiency recommendations

    Unknown

  • Edge AI for Internet of Energy: Challenges and perspectives

    Unknown

  • Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau vs OneCycleLR

    Unknown

  • REHAB-C: Recommendations for Energy HABits Change

    Christos Sardianos;Iraklis Varlamis;George Dimitrakopoulos;Dimosthenis Anagnostopoulos

  • Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

    Yassine Himeur;Abdullah Alsalemi;Ayman Al-Kababji;Faycal Bensaali

  • Accelerating matrix product on reconfigurable hardware for image processing applications

    F. Bensaali;A. Amira;A. Bouridane

  • Empowering Technology Enabled Care Using IoT and Smart Devices: A Review

    Hamza Baali;Hamza Djelouat;Abbes Amira;Faycal Bensaali

  • Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction

    Yassine Himeur;Abdullah Alsalemi;Faycal Bensaali;Abbes Amira

  • Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier

    Yassine Himeur;Abdullah Alsalemi;Faycal Bensaali;Abbes Amira

  • OCR-based neural network for ANPR

    Xiaojun Zhai;Faycal Bensaali;Reza Sotudeh

Frequent Co-Authors

Abbes Amira
Abbes Amira University of Sharjah
Amine Bermak
Amine Bermak Hamad bin Khalifa University
Sarada Prasad Dakua
Sarada Prasad Dakua Hamad Medical Corporation
Ahmed Bouridane
Ahmed Bouridane University of Sharjah
Nader Meskin
Nader Meskin Qatar University
Peter V. Coveney
Peter V. Coveney University College London
Lu Liu
Lu Liu University of Leicester
Farid Touati
Farid Touati Qatar University
Mohamad Sawan
Mohamad Sawan Polytechnique Montréal

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