World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
5013
World Ranking
7453
National Ranking
301

Salim Lahmiri 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 Salim Lahmiri 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: 139 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Salim Lahmiri 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 Salim Lahmiri 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: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Salim Lahmiri is a researcher affiliated with Concordia University in Canada, with a primary focus on Economics, Econometrics, and Finance. Their research spans 57 publications in this main field, with significant exploration in subfields including Economics and Econometrics, Management Science and Operations Research, Artificial Intelligence, Finance, and Electrical and Electronic Engineering.

The scientist's work encompasses a range of topics that include Market Dynamics and Volatility, Complex Systems and Time Series Analysis, Stock Market Forecasting Methods, Energy Load and Power Forecasting, Financial Risk and Volatility Modeling, Infant Health and Development, and Financial Markets and Investment Strategies.

Salim Lahmiri has published multiple papers, some of the recent notable ones being:

  • The impact of COVID-19 pandemic upon stability and sequential irregularity of equity and cryptocurrency markets (2020), Chaos Solitons & Fractals
  • Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market (2020), Chaos Solitons & Fractals
  • Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic (2020), Chaos Solitons & Fractals
  • A comparative assessment of machine learning methods for predicting housing prices using Bayesian optimization (2023), Decision Analytics Journal

The frequent publication venues for Lahmiri's work include:

  • Chaos Solitons & Fractals (11 publications)
  • Entropy (4 publications)
  • Decision Analytics Journal (3 publications)
  • Financial Innovation (3 publications)
  • Biomedical Signal Processing and Control (2 publications)

Collaboration is evident in Lahmiri's profile, with frequent coauthors being Stelios Bekiros, Chakib Tadj, Christian Gargour, Parisa Foroutan, and Anastasia Giakoumelou. Their joint research collaborations have contributed to multiple papers within the economic and finance-related domains.

In addition to articles, Salim Lahmiri has authored a book published by Springer International Publishing titled Applied Statistics and Data Science (2021).

Best Publications

  • Cryptocurrency forecasting with deep learning chaotic neural networks

    Salim Lahmiri;Stelios Bekiros

  • A variational mode decompoisition approach for analysis and forecasting of economic and financial time series

    Salim Lahmiri

  • Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices

    Salim Lahmiri

  • Long-range memory, distributional variation and randomness of bitcoin volatility

    Salim Lahmiri;Stelios D. Bekiros;Antonio Salvi

  • Comparative study of ECG signal denoising by wavelet thresholding in empirical and variational mode decomposition domains

    Salim Lahmiri

  • Glioma detection based on multi-fractal features of segmented brain MRI by particle swarm optimization techniques

    Salim Lahmiri;Salim Lahmiri

  • Performance of machine learning methods in diagnosing Parkinson’s disease based on dysphonia measures

    Salim Lahmiri;Debra Ann Dawson;Debra Ann Dawson;Amir Shmuel

  • Wavelet low- and high-frequency components as features for predicting stock prices with backpropagation neural networks

    Salim Lahmiri

  • Detection of Parkinson’s disease based on voice patterns ranking and optimized support vector machine

    Salim Lahmiri;Amir Shmuel;Amir Shmuel

  • Intraday stock price forecasting based on variational mode decomposition

    Salim Lahmiri

  • Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer’s disease

    Salim Lahmiri;Amir Shmuel;Amir Shmuel

  • Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression

    Salim Lahmiri

  • Accurate Classification of Seizure and Seizure-Free Intervals of Intracranial EEG Signals From Epileptic Patients

    Salim Lahmiri;Amir Shmuel

  • A Comparative Study Of Backpropagation Algorithms In Financial Prediction

    Salim Lahmiri

  • Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market

    Salim Lahmiri;Stelios Bekiros;Stelios Bekiros

  • Hybrid Discrete Wavelet Transform and Gabor Filter Banks Processing for Features Extraction from Biomedical Images.

    Salim Lahmiri;Mounir Boukadoum

  • Biomedical image denoising using variational mode decomposition

    Salim Lahmiri;Mounir Boukadoum

  • Physiological signal denoising with variational mode decomposition and weighted reconstruction after DWT thresholding

    Salim Lahmiri;Mounir Boukadoum

  • The high frequency multifractal properties of Bitcoin

    Stavros Stavroyiannis;Vassilios Babalos;Stelios Bekiros;Stelios Bekiros;Salim Lahmiri

  • Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic

    Salim Lahmiri;Stelios Bekiros;Stelios Bekiros

  • Generalized Hurst exponent estimates differentiate EEG signals of healthy and epileptic patients

    Salim Lahmiri

  • Can machine learning approaches predict corporate bankruptcy? Evidence from a qualitative experimental design

    Salim Lahmiri;Stelios Bekiros

  • Image characterization by fractal descriptors in variational mode decomposition domain: Application to brain magnetic resonance

    Salim Lahmiri

  • New approach for automatic classification of Alzheimer's disease, mild cognitive impairment and healthy brain magnetic resonance images.

    Salim Lahmiri;Mounir Boukadoum

  • Nonlinear dynamics of equity, currency and commodity markets in the aftermath of the global financial crisis

    Salim Lahmiri;Gazi Salah Uddin;Stelios D. Bekiros

Frequent Co-Authors

Stelios D. Bekiros
Stelios D. Bekiros European University Institute
Amir Shmuel
Amir Shmuel Montreal Neurological Institute and Hospital
Gazi Salah Uddin
Gazi Salah Uddin Linköping University
Seong-Min Yoon
Seong-Min Yoon Pusan National University
Sang Hoon Kang
Sang Hoon Kang Pusan National University
Hadi Jahanshahi
Hadi Jahanshahi Royal Bank of Canada

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