World's Best Scientists 2026 revealed!
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Engineering and Technology
Algeria
2023

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
61
Citations
15313
World Ranking
1525
National Ranking
1

Adel Mellit 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 Adel Mellit sits on this spectrum.

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 publications 1,065+

This scientist: 202 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Adel Mellit 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 Adel Mellit sits on this spectrum.

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: 61 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Engineering and Technology in Algeria Leader Award

Overview

Adel Mellit is affiliated with the University of Jijel in Algeria and has contributed extensively to fields encompassing Engineering, Energy, and Computer Science. Their research focuses particularly on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, and Artificial Intelligence, with additional work in Industrial and Manufacturing Engineering as well as Control and Systems Engineering.

Mellit's primary topics of study include Photovoltaic System Optimization Techniques, Solar Radiation and Photovoltaics, Industrial Vision Systems and Defect Detection, Energy Load and Power Forecasting, Advanced Battery Technologies Research, Smart Grid Energy Management, and Solar Thermal and Photovoltaic Systems.

The scientist has authored several papers that have been published in notable venues. Some recent publications include:

  • A Study of CNN and Transfer Learning in Medical Imaging: Advantages, Challenges, Future Scope, 2023, Sustainability
  • Deep learning neural networks for short-term photovoltaic power forecasting, 2021, Renewable Energy
  • Advanced Methods for Photovoltaic Output Power Forecasting: A Review, 2020, Applied Sciences
  • Artificial intelligence and internet of things to improve efficacy of diagnosis and remote sensing of solar photovoltaic systems: Challenges, recommendations and future directions, 2021, Renewable and Sustainable Energy Reviews
  • Fault diagnosis of photovoltaic modules using deep neural networks and infrared images under Algerian climatic conditions, 2022, Energy

Mellit's frequent co-authors include Bekkay Hajji, M. Benghanem, Alessandro Pavan, Soteris A. Kalogirou, and Abdelhamid Rabhi.

The scientist's works appear regularly in publication venues such as Renewable Energy, Energies, Sustainability, IEEE Journal of Photovoltaics, and Sustainable Energy Grids and Networks.

In addition to journal articles, Adel Mellit has published books with several publishers including Springer International Publishing, Springer Nature, and Springer Science+Business Media. Titles include "A Practical Guide for Advanced Methods in Solar Photovoltaic Systems" (2020), "A Practical Guide for Simulation and FPGA Implementation of Digital Design" (2022), and "Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems" (2020).

Best Publications

  • A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy

    Adel Mellit;Alessandro Massi Pavan

  • A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks

    W. Chine;A. Mellit;A. Mellit;V. Lughi;A. Malek

  • Fault detection and diagnosis methods for photovoltaic systems: A review

    A. Mellit;A. Mellit;G.M. Tina;S.A. Kalogirou

  • An adaptive wavelet-network model for forecasting daily total solar-radiation

    Adel Mellit;Mohamed S. Benghanem;Soteris A. Kalogirou

  • Maximum power point tracking using a GA optimized fuzzy logic controller and its FPGA implementation

    A. Messai;A. Mellit;A. Guessoum;S.A. Kalogirou

  • Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure

    Adel Mellit;Mohamed S. Benghanem;Soteris A. Kalogirou

  • Artificial neural network-based model for estimating the produced power of a photovoltaic module

    A. Mellit;S. Sağlam;S.A. Kalogirou

  • Fault detection method for grid-connected photovoltaic plants

    W. Chine;A. Mellit;A. Massi Pavan;S.A. Kalogirou

  • Feasibility study and sensitivity analysis of a stand-alone photovoltaic–diesel–battery hybrid energy system in the north of Algeria

    H. Rezzouk;A. Mellit

  • Artificial Intelligence technique for modelling and forecasting of solar radiation data: a review

    Adel Mellit

  • Monitoring, diagnosis, and power forecasting for photovoltaic fields: A review

    S. Daliento;A. Chouder;P. Guerriero;A. Massi Pavan

  • Methodology for predicting sequences of mean monthly clearness index and daily solar radiation data in remote areas: Application for sizing a stand-alone PV system

    A. Mellit;S. A. Kalogirou;Sulaiman Shaari;H. Salhi

  • MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives

    Adel Mellit;Soteris A. Kalogirou

  • Input output feedback linearization control and variable step size MPPT algorithm of a grid-connected photovoltaic inverter

    D. Lalili;A. Mellit;N. Lourci;B. Medjahed

  • Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules

    H. Mekki;Adel Mellit;H. Salhi

  • FPGA-based real time implementation of MPPT-controller for photovoltaic systems

    A. Mellit;H. Rezzouk;A. Messai;B. Medjahed

  • Adaptive Neural Network-Based Control of a Hybrid AC/DC Microgrid

    Nadjwa Chettibi;Adel Mellit;Giorgio Sulligoi;Alessandro Massi Pavan

  • ANFIS-based modelling for photovoltaic power supply system: A case study

    Adel Mellit;Soteris A. Kalogirou

  • FPGA-based implementation of a fuzzy controller (MPPT) for photovoltaic module

    A. Messai;A. Mellit;A. Massi Pavan;A. Guessoum

  • Thermodynamic analysis and multi objective optimization of performance of solar dish Stirling engine by the centrality of entransy and entropy generation

    Mohammad Hossein Ahmadi;Mohammad Ali Ahmadi;Adel Mellit;Fathollah Pourfayaz

  • Thermodynamic Analysis and Multi Objective Optimization of Performance of Solar Dish Stirling Engine by the Centrality of Entransy and Entropy Generation

    Mohammad Hossein Ahmadi;Mohammad Ali Ahmadi;Adel Mellit;Michel Feidt

Frequent Co-Authors

Soteris A. Kalogirou
Soteris A. Kalogirou Cyprus University of Technology
Michel Feidt
Michel Feidt University of Lorraine
Sonia Leva
Sonia Leva Polytechnic University of Milan
Mohammad Hossein Ahmadi
Mohammad Hossein Ahmadi Shahrood University of Technology
Mohammad Ali Ahmadi
Mohammad Ali Ahmadi University of Calgary
Andrew J. Forsyth
Andrew J. Forsyth University of Manchester
Florencia Almonacid
Florencia Almonacid University of Jaén
Fathollah Pourfayaz
Fathollah Pourfayaz University of Tehran
Antonio J. Marques Cardoso
Antonio J. Marques Cardoso University of Beira Interior
Alibakhsh Kasaeian
Alibakhsh Kasaeian University of Tehran

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