World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
34
Citations
4095
World Ranking
9259
National Ranking
7

Majdi Mansouri publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Majdi Mansouri sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 231 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Majdi Mansouri D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Majdi Mansouri sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 34 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Majdi Mansouri is affiliated with Sultan Qaboos University in Oman and has a significant body of work predominantly in the field of Engineering. Their research contributions span several specialized subfields including Control and Systems Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Safety, Risk, Reliability and Quality, and Mechanical Engineering.

Their research focuses mainly on topics such as Fault Detection and Control Systems, Machine Fault Diagnosis Techniques, Photovoltaic System Optimization Techniques, Energy Load and Power Forecasting, Power System Reliability and Maintenance, Mineral Processing and Grinding, and Spectroscopy and Chemometric Analyses.

Recent papers authored or co-authored by Mansouri include:

  • Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects (2021) published in IEEE Access
  • Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems (2020) published in Renewable Energy
  • Reduced Kernel Random Forest Technique for Fault Detection and Classification in Grid-Tied PV Systems (2020) published in IEEE Journal of Photovoltaics
  • Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems (2020) published in European Journal of Control
  • Effective Random Forest-Based Fault Detection and Diagnosis for Wind Energy Conversion Systems (2020) published in IEEE Sensors Journal

Mansouri has collaborated frequently with several researchers, including Hazem Nounou, Mohamed Nounou, Mansour Hajji, Kais Bouzrara, and Abdelmalek Kouadri, with whom they have co-authored numerous papers.

Their publication record demonstrates a consistent presence in various academic venues, with notable frequent publications in:

  • IEEE Access
  • IEEE Sensors Journal
  • 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)
  • Sustainability
  • 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)

In addition to journal and conference contributions, Mansouri has also contributed to book publications. One such publication is "The consumer in the age of the metaverse" published in 2022 by the Centre National de la Recherche Scientifique.

Best Publications

  • Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems

    Abdelmalek Kouadri;Abdelmalek Kouadri;Mansour Hajji;Mohamed-Faouzi Harkat;Kamaleldin Abodayeh

  • Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects

    Majdi Mansouri;Mohamed Trabelsi;Hazem Nounou;Mohamed Nounou

  • Fault detection using multiscale PCA-based moving window GLRT

    M. Ziyan Sheriff;M. Ziyan Sheriff;Majdi Mansouri;M. Nazmul Karim;Hazem Nounou

  • Online reduced kernel principal component analysis for process monitoring

    Radhia Fezai;Majdi Mansouri;Okba Taouali;Mohamed Faouzi Harkat

  • Kernel PCA-based GLRT for nonlinear fault detection of chemical processes

    Majdi Mansouri;Mohamed Nounou;Hazem Nounou;Nazmul Karim

  • Machine learning-based statistical testing hypothesis for fault detection in photovoltaic systems

    R. Fazai;K. Abodayeh;M. Mansouri;M. Trabelsi

  • Reduced Kernel Random Forest Technique for Fault Detection and Classification in Grid-Tied PV Systems

    Khaled Dhibi;Radhia Fezai;Majdi Mansouri;Mohamed Trabelsi

  • Interval-Valued Reduced RNN for Fault Detection and Diagnosis for Wind Energy Conversion Systems

    Unknown

  • Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems

    Mansour Hajji;Mohamed Faouzi Harkat;Mohamed Faouzi Harkat;Abdelmalek Kouadri;Abdelmalek Kouadri;Kamaleldin Abodayeh

  • Kernel PLS-based GLRT method for fault detection of chemical processes

    Chiranjivi Botre;Majdi Mansouri;Mohamed Nounou;Hazem Nounou

  • Effective Random Forest-Based Fault Detection and Diagnosis for Wind Energy Conversion Systems

    Radhia Fezai;Khaled Dhibi;Majdi Mansouri;Mohamed Trabelsi

  • Parameter identification of the STICS crop model, using an accelerated formal MCMC approach

    B. Dumont;V. Leemans;M. Mansouri;B. Bodson

  • Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems

    Unknown

  • An Enhanced Ensemble Learning-Based Fault Detection and Diagnosis for Grid-Connected PV Systems

    Khaled Dhibi;Majdi Mansouri;Kais Bouzrara;Hazem N. Nounou

  • Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test

    Harkat M.-F.;Majdi Mansouri;Mohamed Nounou;Hazem Nounou

  • Online reduced kernel PLS combined with GLRT for fault detection in chemical systems

    R. Fazai;M. Mansouri;K. Abodayeh;H. Nounou

  • Wavelet optimized EWMA for fault detection and application to photovoltaic systems

    Majdi Mansouri;Ayman Al-khazraji;Mansour Hajji;Mohamed Faouzi Harkat

  • Fault detection of uncertain nonlinear process using interval-valued data-driven approach

    M.-F. Harkat;M. Mansouri;M. Nounou;H. Nounou

  • An effective statistical fault detection technique for grid connected photovoltaic systems based on an improved generalized likelihood ratio test

    Majdi Mansouri;Mansour Hajji;Mohamed Trabelsi;Mohamed Faouzi Harkat

  • Multiscale PLS-based GLRT for fault detection of chemical processes

    Chiranjivi Botre;Majdi Mansouri;M. Nazmul Karim;Hazem Nounou

  • Multiscale Kernel PLS-Based Exponentially Weighted-GLRT and Its Application to Fault Detection

    Majdi Mansouri;Mohamed Numan Nounou;Hazem Numan Nounou

  • Enhanced data validation strategy of air quality monitoring network.

    Mohamed-Faouzi Harkat;Majdi Mansouri;Mohamed Nounou;Hazem Nounou

Frequent Co-Authors

Hazem Nounou
Hazem Nounou Texas A&M University at Qatar
Mohamed Nounou
Mohamed Nounou Texas A&M University at Qatar
Cedric Richard
Cedric Richard Université Côte d'Azur
Hichem Snoussi
Hichem Snoussi University of Technology of Troyes
Haitham Abu-Rub
Haitham Abu-Rub Hamad bin Khalifa University
Lyes Khoukhi
Lyes Khoukhi University of Technology of Troyes
Michael M. Khonsari
Michael M. Khonsari Louisiana State University
Nigel H. Lovell
Nigel H. Lovell University of New South Wales
Vicenç Puig
Vicenç Puig Universitat Politècnica de Catalunya
Abdolreza Simchi
Abdolreza Simchi Sharif University of Technology

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