World's Best Scientists 2026 revealed!
Farhat Fnaiech

Farhat Fnaiech

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
34
Citations
6772
World Ranking
5708
National Ranking
1

Farhat Fnaiech 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 Farhat Fnaiech 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: 247 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Farhat Fnaiech 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 Farhat Fnaiech 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: 34 D-Index — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Overview

Farhat Fnaiech is affiliated with Tunis University in Tunisia. Their research spans multiple scientific disciplines, primarily focusing on computer science, medicine, and biochemistry, genetics, and molecular biology.

The scientist's work involves significant contributions to several subfields, including computational theory and mathematics, infectious diseases, and molecular biology. They concentrate particularly on computational drug discovery methods, SARS-CoV-2 and COVID-19 research, and vaccines and immunoinformatics approaches.

Farhat Fnaiech has coauthored research with Yassine Rabhi and Makrem Mrabet. These collaborations have contributed to developing approaches in the intersection of computational techniques and infectious disease studies.

Their publications are mainly featured in the venue BioMed Research International. One recent notable paper is titled "Active Learning and the Potential of Neural Networks Accelerate Molecular Screening for the Design of a New Molecule Effective against SARS-CoV-2," published in 2021. This work addresses methods to speed up molecular screening using artificial intelligence to target the SARS-CoV-2 virus.

The following lists summarize key areas related to Farhat Fnaiech's work:

  • Research fields: Computer Science, Medicine, Biochemistry, Genetics and Molecular Biology
  • Subfields: Computational Theory and Mathematics, Infectious Diseases, Molecular Biology
  • Main topics: Computational Drug Discovery Methods, SARS-CoV-2 and COVID-19 Research, Vaccines and Immunoinformatics Approaches
  • Frequent co-authors: Yassine Rabhi, Makrem Mrabet
  • Frequent publication venue: BioMed Research International
  • Recent publication: "Active Learning and the Potential of Neural Networks Accelerate Molecular Screening for the Design of a New Molecule Effective against SARS-CoV-2," 2021, BioMed Research International

Best Publications

  • Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network

    Jaouher Ben Ali;Jaouher Ben Ali;Brigitte Chebel-Morello;Lotfi Saidi;Simon Malinowski

  • Direct Remaining Useful Life Estimation Based on Support Vector Regression

    Racha Khelif;Brigitte Chebel-Morello;Simon Malinowski;Emna Laajili

  • Convolutional neural network for video fire and smoke detection

    Sebastien Frizzi;Rabeb Kaabi;Moez Bouchouicha;Jean-Marc Ginoux

  • Fuzzy Logic and Sliding-Mode Controls Applied to Six-Phase Induction Machine With Open Phases

    M.A. Fnaiech;F. Betin;G.-A. Capolino;F. Fnaiech

  • Application of higher order spectral features and support vector machines for bearing faults classification

    Lotfi Saidi;Jaouher Ben Ali;Farhat Fnaiech

  • A fast feedforward training algorithm using a modified form of the standard backpropagation algorithm

    S. Abid;F. Fnaiech;M. Najim

  • Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis

    Lotfi Saidi;Jaouher Ben Ali;Farhat Fnaiech

  • Recursive identification of bilinear systems

    Farhat Fnaiech;Lennart Ljung

  • Nonlinear control technique to enhance dynamic performance of a shunt active power filter

    Nassar Mendalek;Kamal Al-Haddad;Farhat Fnaiech;Louis A. Dessaint

  • An Efficient DSP-FPGA-Based Real-Time Implementation Method of SVM Algorithms for an Indirect Matrix Converter

    M. Hamouda;H. F. Blanchette;K. Al-Haddad;F. Fnaiech

  • Accurate prediction of continuous blood glucose based on support vector regression and differential evolution algorithm

    Takoua Hamdi;Takoua Hamdi;Jaouher Ben Ali;Véronique Di Costanzo;Farhat Fnaiech

  • Continuous blood glucose level prediction of Type 1 Diabetes based on Artificial Neural Network

    Jaouher Ben Ali;Takoua Hamdi;Takoua Hamdi;Nader Fnaiech;Véronique Di Costanzo

  • Automatic image segmentation of nuclear stained breast tissue sections using color active contour model and an improved watershed method

    Aymen Mouelhi;Mounir Sayadi;Farhat Fnaiech;Karima Mrad

  • Linear and Nonlinear Control Techniques for a Three-Phase Three-Level NPC Boost Rectifier

    L. Yacoubi;K. Al-Haddad;L.-A. Dessaint;F. Fnaiech

  • Diagnosis of broken-bars fault in induction machines using higher order spectral analysis

    Saidi L;Fnaiech F;Henao H;Capolino Ga

  • A DSP-based implementation of a nonlinear model reference adaptive control for a three-phase three-level NPC boost rectifier prototype

    L. Yacoubi;K. Al-Haddad;L.-A. Dessaint;F. Fnaiech

  • Nonlinear control strategy applied to a shunt active power filter

    N. Mendalek;K. Al Haddad;L.A. Dessaint;F. Fnaiech

  • Colour image segmentation using homogeneity method and data fusion techniques

    Salim Ben Chaabane;Mounir Sayadi;Farhat Fnaiech;Eric Brassart

  • Modelling and control of three-phase/switch/level fixed-frequency PWM rectifier: state-space averaged model

    H. Kanaan;K. Al-Haddad;F. Fnaiech

  • A DSP-based implementation of a new nonlinear control for a three-phase neutral point clamped boost rectifier prototype

    L. Yacoubi;K. Al-Haddad;F. Fnaiech;L.-A. Dessaint

Frequent Co-Authors

Kamal Al-Haddad
Kamal Al-Haddad École de Technologie Supérieure
Hadi Y. Kanaan
Hadi Y. Kanaan Saint Joseph University of Beirut
Louis-A. Dessaint
Louis-A. Dessaint École de Technologie Supérieure
Mohamed Cheriet
Mohamed Cheriet École de Technologie Supérieure
Gerard-Andre Capolino
Gerard-Andre Capolino University of Picardie Jules Verne
Noureddine Zerhouni
Noureddine Zerhouni Centre national de la recherche scientifique, CNRS
Lennart Ljung
Lennart Ljung Linköping University
Babak Nahid-Mobarakeh
Babak Nahid-Mobarakeh McMaster University
Matjaž Perc
Matjaž Perc University of Maribor

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