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Majdi Mansouri

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 34 9259 8908 7 7 231 4095

Majdi Mansouri publications per year

The chart shows the history of publications by Majdi Mansouri between 1984 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Majdi Mansouri published across 43 years, from 1984 to 2026, averaging 7.4 papers a year. Output peaked at 42 publications in 2025. 43 of the 317 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1984 to 2026. Vertical axis: number of publications, 0 to 42. Peak 42 publications in 2025. 1984: 1 publication 1985: 1 publication 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 1 publication 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 0 publications 1995: 1 publication 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 2 publications 2002: 1 publication 2003: 0 publications 2004: 0 publications 2005: 2 publications 2006: 0 publications 2007: 0 publications 2008: 1 publication 2009: 4 publications 2010: 6 publications 2011: 9 publications 2012: 7 publications 2013: 13 publications 2014: 18 publications 2015: 10 publications 2016: 24 publications 2017: 17 publications 2018: 29 publications 2019: 22 publications 2020: 29 publications 2021: 16 publications 2022: 23 publications 2023: 16 publications 2024: 20 publications 2025: 42 publications 2026: 1 publication
1984 2026

317 publications in total across all disciplines

View publications per year as a table
Majdi Mansouri: publications per year, 1984 to 2026
Year Publications
1984 1
1985 1
1986 0
1987 0
1988 0
1989 1
1990 0
1991 0
1992 0
1993 1
1994 0
1995 1
1996 0
1997 0
1998 0
1999 0
2000 0
2001 2
2002 1
2003 0
2004 0
2005 2
2006 0
2007 0
2008 1
2009 4
2010 6
2011 9
2012 7
2013 13
2014 18
2015 10
2016 24
2017 17
2018 29
2019 22
2020 29
2021 16
2022 23
2023 16
2024 20
2025 42
2026 1
Total 317
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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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 228–237 publications, is where this scientist sits. 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
38–47 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.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321 231
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 34 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200 34
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

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

External Links

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Best Scientists Citing Majdi Mansouri

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Publications: 12

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Publications: 8

Lyes Khoukhi

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Publications: 7

Saad Mekhilef

Saad Mekhilef

Swinburne University of Technology

Publications: 6

Daniel J. Inman

Daniel J. Inman

University of Michigan–Ann Arbor

Publications: 6

Michael M. Khonsari

Michael M. Khonsari

Louisiana State University

Publications: 6

Hazem Nounou

Hazem Nounou

Texas A&M University at Qatar

Publications: 5

Mohamed Nounou

Mohamed Nounou

Texas A&M University at Qatar

Publications: 5

Haitham Abu-Rub

Haitham Abu-Rub

Hamad bin Khalifa University

Publications: 4

Donghua Zhou

Donghua Zhou

Shandong University of Science and Technology

Publications: 4

Mohamed Benbouzid

Mohamed Benbouzid

University of Western Brittany

Publications: 4

Sergei A. Grando

Sergei A. Grando

University of California, Irvine

Publications: 4

Yehuda Shoenfeld

Yehuda Shoenfeld

Sheba Medical Center

Publications: 4

Jasper A. Vrugt

Jasper A. Vrugt

University of California, Irvine

Publications: 4

Bruno Basso

Bruno Basso

Michigan State University

Publications: 4

Costas Kravaris

Costas Kravaris

Texas A&M University

Publications: 4

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