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Walid G. Morsi

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 32 6421 6165 278 260 97 3426

Walid G. Morsi publications per year

The chart shows the history of publications by Walid G. Morsi between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Walid G. Morsi published across 19 years, from 2007 to 2025, averaging 6.4 papers a year. Output peaked at 13 publications in 2010. 14 of the 122 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 13. Peak 13 publications in 2010. 2007: 5 publications 2008: 6 publications 2009: 9 publications 2010: 13 publications 2011: 8 publications 2012: 3 publications 2013: 5 publications 2014: 1 publication 2015: 12 publications 2016: 8 publications 2017: 8 publications 2018: 8 publications 2019: 3 publications 2020: 3 publications 2021: 5 publications 2022: 10 publications 2023: 1 publication 2024: 10 publications 2025: 4 publications
2007 2025

122 publications in total across all disciplines

View publications per year as a table
Walid G. Morsi: publications per year, 2007 to 2025
Year Publications
2007 5
2008 6
2009 9
2010 13
2011 8
2012 3
2013 5
2014 1
2015 12
2016 8
2017 8
2018 8
2019 3
2020 3
2021 5
2022 10
2023 1
2024 10
2025 4
Total 122
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Walid G. Morsi publications per year - data summary

  • Walid G. Morsi, a Electronics and Electrical Engineering scholar from University of Ontario Institute of Technology, has 122 publications recorded across 19 years, from 2007 to 2025.
  • The oldest publication on record dates to 2007 and the most recent to 2025.
  • The most productive year is 2010, with 13 publications.
  • The least productive years with any output are 2014 and 2023, with 1 publication each.
  • The rate of publication averages 6.4 papers per year over the whole span, or 6.4 per year counting only the 19 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 30 publications, 25% of the career total.
  • Split into equal eras - 2007-2013: 49 publications (7.0 per year); 2014-2020: 43 publications (6.1 per year); 2021-2025: 30 publications (6.0 per year).
  • Comparing the opening and closing eras, the overall trend of publication is broadly steady.

Walid G. Morsi 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 Walid G. Morsi 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, 94–113 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: 97 publications — 3rd percentile

3% 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 97
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
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
Download as CSV

Walid G. Morsi publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Walid G. Morsi, a Electronics and Electrical Engineering scholar from University of Ontario Institute of Technology, records 97 publications - the 3rd percentile of the discipline.
  • 3% of ranked Electronics and Electrical Engineering scientists score the same or lower than Walid G. Morsi, and about 97% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Walid G. Morsi ranks below the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

Walid G. Morsi 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 Walid G. Morsi 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, 32 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: 32 D-Index — 10th percentile

10% 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 32
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
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

Walid G. Morsi D-index placement in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Walid G. Morsi, a Electronics and Electrical Engineering scholar from University of Ontario Institute of Technology, records 32 D-Index - the 10th percentile of the discipline.
  • 10% of ranked Electronics and Electrical Engineering scientists score the same or lower than Walid G. Morsi, and about 90% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Walid G. Morsi ranks below the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 111 D-Index or more, 96 scientists in all (1% of the field).

Overview

Walid G. Morsi is a researcher affiliated with the University of Ontario Institute of Technology in Canada. Their work primarily spans the fields of Engineering and Computer Science, with a focus on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Renewable Energy, Sustainability and the Environment, and Automotive Engineering.

Their research concentrates on several key topics related to power and energy systems, including Smart Grid Security and Resilience, Electric Vehicles and Infrastructure, Network Security and Intrusion Detection, Anomaly Detection Techniques and Applications, Electricity Theft Detection Techniques, Advanced Battery Technologies Research, and Smart Grid Energy Management.

Among their recent publications are:

  • Characteristic Study of Solar Photovoltaic Array Under Different Partial Shading Conditions, 2022, IEEE Access
  • A new passive islanding detection approach using wavelets and deep learning for grid-connected photovoltaic systems, 2021, Electric Power Systems Research
  • Integration of Prosumers with Battery Storage and Electric Vehicles Via Transactive Energy, 2021, IEEE Transactions on Power Delivery
  • Early detection of cyber-physical attacks on fast charging stations using machine learning considering vehicle-to-grid operation in microgrids, 2023, Sustainable Energy Grids and Networks
  • Low and high order harmonic distortion in the presence of fast charging stations, 2020, International Journal of Electrical Power & Energy Systems

Walid G. Morsi frequently collaborates with a group of researchers including Matthew Oinonen, Ahmad Abu Nassar, Kais Abdulmawjood, Bishoy Basta, and Daniel J. Mabuggwe. These collaborations have contributed to the depth and breadth of topics addressed in their publications.

Their work has been published predominantly in the following venues:

  • Electric Power Systems Research
  • Sustainable Energy Grids and Networks
  • IEEE Access
  • IEEE Transactions on Power Delivery
  • International Journal of Electrical Power & Energy Systems

Walid G. Morsi's research intersects multiple disciplines, combining expertise in electrical engineering with advanced methodologies such as machine learning and deep learning. This interdisciplinary approach is reflected in their work on energy systems resilience, the integration of electric vehicles and storage solutions, and cyber-physical system security.

Best Publications

  • Power Quality Assessment in Distribution Systems Embedded With Plug-In Hybrid and Battery Electric Vehicles

    Matthew K. Gray;Walid G. Morsi

  • Fault Detection and Classification Based on Co-training of Semisupervised Machine Learning

    Tamer S. Abdelgayed;Walid G. Morsi;Tarlochan S. Sidhu

  • Nonintrusive Load Monitoring Using Wavelet Design and Machine Learning

    Jessie M. Gillis;Sami M. Alshareef;Walid G. Morsi

  • A new perspective for the IEEE standard 1459-2000 via stationary wavelet transform in the presence of nonstationary power quality disturbance

    Walid Morsi;Mohamed El-Hawary

  • Reformulating Three-Phase Power Components Definitions Contained in the IEEE Standard 1459–2000 Using Discrete Wavelet Transform

    W.G. Morsi;M.E. El-Hawary

  • Wavelet Packet Transform-Based Power Quality Indices for Balanced and Unbalanced Three-Phase Systems Under Stationary or Nonstationary Operating Conditions

    W.G. Morsi;M.E. El-Hawary

  • A novel demand side management program using water heaters and particle swarm optimization

    Arnaldo Sepulveda;Liam Paull;Walid G. Morsi;Howard Li

  • A New Approach for Fault Classification in Microgrids Using Optimal Wavelet Functions Matching Pursuit

    Tamer S. Abdelgayed;Walid G. Morsi;Tarlochan S. Sidhu

  • A New Approach Based on Wavelet Design and Machine Learning for Islanding Detection of Distributed Generation

    Sami Alshareef;Saurabh Talwar;Walid. G. Morsi

  • Detection and prediction of faults in photovoltaic arrays: A review

    Kais AbdulMawjood;Shady S. Refaat;Walid G. Morsi

  • Defining power components in nonsinusoidal unbalanced polyphase systems: The issues

    W.G. Morsi;M. El-Hawary

  • Non-Intrusive Load Monitoring Using Semi-Supervised Machine Learning and Wavelet Design

    Jessie M. Gillis;Walid G. Morsi

  • Novel power quality indices based on wavelet packet transform for non-stationary sinusoidal and non-sinusoidal disturbances

    Walid G. Morsi;M.E. El-Hawary

  • Power quality evaluation in smart grids considering modern distortion in electric power systems

    Walid G. Morsi;M.E. El-Hawary

  • Probabilistic Impact of Transportation Electrification on the Loss-of-Life of Distribution Transformers in the Presence of Rooftop Solar Photovoltaic

    Sherif F. Abdelsamad;Walid G. Morsi;Tarlochan S. Sidhu

  • Passive method-based islanding detection of Renewable-based Distributed Generation: The issues

    A. S. Aljankawey;Walid G. Morsi;L. Chang;C. P. Diduch

  • Impact of Wind-Based Distributed Generation on Electric Energy in Distribution Systems Embedded With Electric Vehicles

    Sherif F. Abdelsamad;Walid G. Morsi;Tarlochan S. Sidhu

  • Optimal Design of Community Battery Energy Storage Systems With Prosumers Owning Electric Vehicles

    Shady A. El-Batawy;Walid G. Morsi

  • Fuzzy-wavelet-based electric power quality assessment of distribution systems under stationary and nonstationary disturbances

    Walid Morsi;Mohamed El-Hawary

  • Smart grid: Challenges, research directions and possible solutions

    F. Bagnan Beidou;Walid G. Morsi;C. P. Diduch;L. Chang

  • A new islanding detection approach using wavelet packet transform for wind-based distributed generation

    Walid G. Morsi;C. P. Diduch;L. Chang

Frequent Co-Authors

Mohamed E. El-Hawary
Mohamed E. El-Hawary Dalhousie University
Liuchen Chang
Liuchen Chang University of New Brunswick
Tarlochan S. Sidhu
Tarlochan S. Sidhu University of Ontario Institute of Technology

External Links

Personal website of Walid G. Morsi

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Finally, careers in Electronics and Electrical Engineering often align with roles ideal for introverts, such as systems design and technical analysis. Exploring jobs for introverts that pay well can help tailor your path to positions matching your personality and strengths, ensuring both job satisfaction and financial reward.

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