World's Best Scientists 2026 revealed!
Karar Mahmoud

Karar Mahmoud

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
6423
World Ranking
5289
National Ranking
16

Karar Mahmoud 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 Karar Mahmoud 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: 148 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Karar Mahmoud 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 Karar Mahmoud 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: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Karar Mahmoud is affiliated with Aswan University in Egypt and has contributed extensively to the field of engineering, with a primary focus on electrical and electronic engineering. Their published research spans various subfields including control and systems engineering, automotive engineering, materials chemistry, and renewable energy, sustainability, and the environment.

Mahmoud's research topics cover several key areas within energy systems and electrical engineering. These include:

  • Microgrid control and optimization
  • Smart grid energy management
  • Optimal power flow distribution
  • Electric vehicles and infrastructure
  • Advanced battery technologies research
  • High voltage insulation and dielectric phenomena
  • Energy load and power forecasting

The scientist has published frequently in a number of specific research venues, with the highest number of publications in IEEE Access. Other notable venues with several publications include Energy Science & Engineering, Sensors, Electric Power Systems Research, and Applied Sciences.

Karar Mahmoud's recent published papers demonstrate a focus on renewable energy systems, fault diagnosis, and deep learning applications in electrical engineering contexts. Selected papers include:

  • "An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems," 2021, IEEE Access
  • "Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties," 2022, Measurement
  • "Promising MPPT Methods Combining Metaheuristic, Fuzzy-Logic and ANN Techniques for Grid-Connected Photovoltaic," 2021, Sensors
  • "Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings," 2021, Sensors
  • "Experimental Setup for Online Fault Diagnosis of Induction Machines via Promising IoT and Machine Learning: Towards Industry 4.0 Empowerment," 2021, IEEE Access

Throughout their career, Mahmoud has collaborated regularly with several coauthors. The most frequent collaborators include Matti Lehtonen, Mohamed M. F. Darwish, Abdelfatah Ali, Mahmoud Elsisi, and Hossam H. H. Mousa. These collaborations represent significant portions of Mahmoud's research output.

Best Publications

  • Accurate photovoltaic power forecasting models using deep LSTM-RNN

    Mohamed Abdel-Nasser;Karar Mahmoud

  • Optimal Distributed Generation Allocation in Distribution Systems for Loss Minimization

    Karar Mahmoud;Naoto Yorino;Abdella Ahmed

  • An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems

    Mahmoud N. Ali;Karar Mahmoud;Matti Lehtonen;Mohamed M. F. Darwish

  • Reliable Deep Learning and IoT-Based Monitoring System for Secure Computer Numerical Control Machines Against Cyber-Attacks With Experimental Verification

    Unknown

  • Promising MPPT Methods Combining Metaheuristic, Fuzzy-Logic and ANN Techniques for Grid-Connected Photovoltaic.

    Mahmoud N. Ali;Karar Mahmoud;Karar Mahmoud;Matti Lehtonen;Mohamed M. F. Darwish;Mohamed M. F. Darwish

  • Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings.

    Mahmoud Elsisi;Mahmoud Elsisi;Minh Quang Tran;Karar Mahmoud;Karar Mahmoud;Matti Lehtonen

  • Comprehensive Review on Renewable Energy Sources in Egypt—Current Status, Grid Codes and Future Vision

    Unknown

  • Experimental Setup for Online Fault Diagnosis of Induction Machines via Promising IoT and Machine Learning: Towards Industry 4.0 Empowerment

    Minh-Quang Tran;Mahmoud Elsisi;Karar Mahmoud;Meng-Kun Liu

  • Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs

    Mohamed Abdel-Nasser;Karar Mahmoud;Matti Lehtonen

  • Robust Design of ANFIS-Based Blade Pitch Controller for Wind Energy Conversion Systems Against Wind Speed Fluctuations

    Mahmoud Elsisi;Minh-Quang Tran;Karar Mahmoud;Matti Lehtonen

  • Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters.

    Mahmoud Elsisi;Mahmoud Elsisi;Karar Mahmoud;Karar Mahmoud;Matti Lehtonen;Mohamed M. F. Darwish;Mohamed M. F. Darwish

  • An Improved Neural Network Algorithm to Efficiently Track Various Trajectories of Robot Manipulator Arms

    Mahmoud Elsisi;Karar Mahmoud;Matti Lehtonen;Mohamed M. F. Darwish

  • Optimal Harmonic Mitigation in Distribution Systems with Inverter Based Distributed Generation

    Ahmed S. Abbas;Ragab A. El-Sehiemy;Adel Abou El-Ela;Eman Salah Ali

  • An optimal network constraint-based joint expansion planning model for modern distribution networks with multi-types intermittent RERs

    Unknown

  • Maximizing Hosting Capacity of Uncertain Photovoltaics by Coordinated Management of OLTC, VAr Sources and Stochastic EVs

    Abdelfatah Ali;Karar Mahmoud;Karar Mahmoud;Matti Lehtonen

  • Adaptive LFC incorporating modified virtual rotor to regulate frequency and tie-line power flow in multi-area microgrids

    Unknown

  • A novel unified planning model for distributed generation and electric vehicle charging station considering multi-uncertainties and battery degradation

    Unknown

  • Towards Secured Online Monitoring for Digitalized GIS Against Cyber-Attacks Based on IoT and Machine Learning

    Mahmoud Elsisi;Minh-Quang Tran;Karar Mahmoud;Diaa-Eldin A. Mansour

  • Towards Precise Interpretation of Oil Transformers via Novel Combined Techniques Based on DGA and Partial Discharge Sensors

    Sayed A. Ward;Sayed A. Ward;Adel El-Faraskoury;Mohamed Badawi;Shimaa A. Ibrahim

  • Enhancing Diagnostic Accuracy of Transformer Faults Using Teaching-Learning-Based Optimization

    Sherif S. M. Ghoneim;Karar Mahmoud;Matti Lehtonen;Mohamed M. F. Darwish

  • Novel Control Strategy for Enhancing Microgrid Operation Connected to Photovoltaic Generation and Energy Storage Systems

    Dina Emara;Mohamed Ezzat;Almoataz Y. Abdelaziz;Karar Mahmoud

  • Optimal Placement and Sizing of Uncertain PVs Considering Stochastic Nature of PEVs

    Abdelfatah Ali;David Raisz;Karar Mahmoud;Matti Lehtonen

  • Estimating Parameters of Photovoltaic Models Using Accurate Turbulent Flow of Water Optimizer

    Mokhtar Said;Abdullah M. Shaheen;Ahmed R. Ginidi;Ragab A. El-Sehiemy

  • Assessment of an Improved Three-Diode against Modified Two-Diode Patterns of MCS Solar Cells Associated with Soft Parameter Estimation Paradigms

    Ahmed S. Bayoumi;Ragab A. El-Sehiemy;Karar Mahmoud;Matti Lehtonen

  • Optimal oversizing of utility-owned renewable DG inverter for voltage rise prevention in MV distribution systems

    Abdelfatah Ali;Abdelfatah Ali;David Raisz;Karar Mahmoud

Frequent Co-Authors

Matti Lehtonen
Matti Lehtonen Aalto University
Mohamed M. F. Darwish
Mohamed M. F. Darwish Benha University
Salah Kamel
Salah Kamel Aswan University
Ragab A. El-Sehiemy
Ragab A. El-Sehiemy Kafrelsheikh University
Ahmed M. Rashad
Ahmed M. Rashad Aswan University
Almoataz Y. Abdelaziz
Almoataz Y. Abdelaziz Ain Shams University
Francisco Jurado
Francisco Jurado University of Jaén
Sherif S. M. Ghoneim
Sherif S. M. Ghoneim Taif University
Khaled M. Rabie
Khaled M. Rabie King Fahd University of Petroleum and Minerals
Abdullah M. Shaheen
Abdullah M. Shaheen Suez University

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