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Mehrdad Saif

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 55 2200 2112 107 99 388 10830

Mehrdad Saif publications per year

The chart shows the history of publications by Mehrdad Saif between 1986 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mehrdad Saif published across 40 years, from 1986 to 2025, averaging 11.6 papers a year. Output peaked at 50 publications in 2021. 42 of the 462 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1986 to 2025. Vertical axis: number of publications, 0 to 50. Peak 50 publications in 2021. 1986: 1 publication 1987: 1 publication 1988: 0 publications 1989: 5 publications 1990: 4 publications 1991: 1 publication 1992: 5 publications 1993: 7 publications 1994: 1 publication 1995: 4 publications 1996: 3 publications 1997: 5 publications 1998: 8 publications 1999: 12 publications 2000: 8 publications 2001: 5 publications 2002: 3 publications 2003: 4 publications 2004: 3 publications 2005: 11 publications 2006: 9 publications 2007: 14 publications 2008: 12 publications 2009: 5 publications 2010: 10 publications 2011: 13 publications 2012: 5 publications 2013: 10 publications 2014: 8 publications 2015: 11 publications 2016: 22 publications 2017: 26 publications 2018: 21 publications 2019: 24 publications 2020: 31 publications 2021: 50 publications 2022: 32 publications 2023: 26 publications 2024: 19 publications 2025: 23 publications
1986 2025

462 publications in total across all disciplines

View publications per year as a table
Mehrdad Saif: publications per year, 1986 to 2025
Year Publications
1986 1
1987 1
1988 0
1989 5
1990 4
1991 1
1992 5
1993 7
1994 1
1995 4
1996 3
1997 5
1998 8
1999 12
2000 8
2001 5
2002 3
2003 4
2004 3
2005 11
2006 9
2007 14
2008 12
2009 5
2010 10
2011 13
2012 5
2013 10
2014 8
2015 11
2016 22
2017 26
2018 21
2019 24
2020 31
2021 50
2022 32
2023 26
2024 19
2025 23
Total 462
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Mehrdad Saif publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Mehrdad Saif sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 374–393 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 388 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187 388
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Mehrdad Saif D-index placement in Electronics and Electrical Engineering in 2026

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

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 55 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 55 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97 55
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Research.com Recognitions

  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Mehrdad Saif is affiliated with the University of Windsor in Canada and conducts research primarily in the fields of Engineering and Computer Science. Their scholarly work extends across several specialized subfields including Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, and Automotive Engineering.

The main research topics addressed by Mehrdad Saif include Smart Grid Security and Resilience, Network Security and Intrusion Detection, Machine Fault Diagnosis Techniques, Anomaly Detection Techniques and Applications, Fault Detection and Control Systems, Microgrid Control and Optimization, and Adaptive Control of Nonlinear Systems.

Mehrdad Saif has published extensively, with significant contributions appearing in the following venues:

  • arXiv (Cornell University)
  • IEEE Sensors Journal
  • IEEE Systems Man and Cybernetics Magazine
  • IEEE Access
  • IEEE Systems Journal

Several recent papers demonstrate the scope of their research:

  • Critical Wind Turbine Components Prognostics: A Comprehensive Review, 2020, IEEE Transactions on Instrumentation and Measurement
  • A Comprehensive Overview of Electric Vehicle Batteries Market, 2023, e-Prime - Advances in Electrical Engineering Electronics and Energy
  • Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids, 2021, IEEE Transactions on Smart Grid
  • Multi-Feature Fusion Approach for Epileptic Seizure Detection From EEG Signals, 2020, IEEE Sensors Journal
  • Decentralized Federated Learning: A Survey on Security and Privacy, 2024, IEEE Transactions on Big Data

Collaborations with other researchers are frequent, with prominent co-authors including Roozbeh Razavi-Far, Jafar Zarei, Ehsan Hallaji, Mojtaba Kordestani, and Hossein Hassani.

Mehrdad Saif has been recognized by The Canadian Academy of Engineering, evidencing engagement with professional engineering circles.

Best Publications

  • A novel approach to the design of unknown input observers

    Y. Guan;M. Saif

  • Sliding mode observer for nonlinear uncertain systems

    Yi Xiong;M. Saif

  • Brief Unknown disturbance inputs estimation based on a state functional observer design

    Yi Xiong;Mehrdad Saif

  • Failure Prognosis and Applications—A Survey of Recent Literature

    Mojtaba Kordestani;Mehrdad Saif;Marcos E. Orchard;Roozbeh Razavi-Far

  • A new approach to robust fault detection and identification

    M. Saif;Y. Guan

  • Unknown input observer design for a class of nonlinear systems: an LMI approach

    Weitian Chen;M. Saif

  • Simultaneous Fault Isolation and Estimation of Lithium-Ion Batteries via Synthesized Design of Luenberger and Learning Observers

    Wen Chen;Wei-Tian Chen;Mehrdad Saif;Meng-Feng Li

  • An iterative learning observer for fault detection and accommodation in nonlinear time-delay systems

    Wen Chen;Mehrdad Saif

  • Observer-Based Fault Diagnosis of Satellite Systems Subject to Time-Varying Thruster Faults

    Wen Chen;Mehrdad Saif

  • Critical Wind Turbine Components Prognostics: A Comprehensive Review

    Milad Rezamand;Mojtaba Kordestani;Rupp Carriveau;David S.-K. Ting

  • Electrochemical–Thermal Model of Pouch-type Lithium-ion Batteries

    Maryam Ghalkhani;Farid Bahiraei;Gholam-Abbas Nazri;Mehrdad Saif

  • Observer-based strategies for actuator fault detection, isolation and estimation for certain class of uncertain nonlinear systems

    W. Chen;M. Saif

  • Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems

    Roozbeh Razavi-Far;Ehsan Hallaji;Maryam Farajzadeh-Zanjani;Mehrdad Saif

  • Fault detection and isolation based on novel unknown input observer design

    Weitian Chen;M. Saif

  • An Integrated Class-Imbalanced Learning Scheme for Diagnosing Bearing Defects in Induction Motors

    Roozbeh Razavi-Far;Maryam Farajzadeh-Zanjani;Mehrdad Saif

  • Wi-Fi based indoor location positioning employing random forest classifier

    Esrafil Jedari;Zheng Wu;Rashid Rashidzadeh;Mehrdad Saif

  • A New Hybrid Fault Detection Method for Wind Turbine Blades Using Recursive PCA and Wavelet-Based PDF

    Milad Rezamand;Mojtaba Kordestani;Rupp Carriveau;David S.-K. Ting

  • Brief paper: Observer design and fault diagnosis for state-retarded dynamical systems

    Hanlong Yang;Mehrdad Saif

  • Adaptive actuator fault detection, isolation and accommodation in uncertain systems

    W. Chen;Mehrdad Saif

  • Neural-networks-based nonlinear dynamic modeling for automotive engines

    Yonghong Tan;Mehrdad Saif

  • A Bidirectional Power Charging Control Strategy for Plug-in Hybrid Electric Vehicles

    Fazel Mohammadi;Gholam-Abbas Nazri;Mehrdad Saif

Frequent Co-Authors

Majid Ahmadi
Majid Ahmadi University of Windsor
David S.-K. Ting
David S.-K. Ting University of Windsor
Q. M. Jonathan Wu
Q. M. Jonathan Wu University of Windsor
Vasile Palade
Vasile Palade Coventry University
Enrico Zio
Enrico Zio Polytechnic University of Milan
Marcos E. Orchard
Marcos E. Orchard University of Chile
Khashayar Khorasani
Khashayar Khorasani Concordia University
Mohammad Hassan Khooban
Mohammad Hassan Khooban Aarhus University
Huanshui Zhang
Huanshui Zhang Shandong University of Science and Technology
Mohammad Pourmahmood Aghababa
Mohammad Pourmahmood Aghababa Urmia University of Technology

External Links

Personal website of Mehrdad Saif Google Scholar page

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