World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
8529
World Ranking
6857
National Ranking
1869

Mohammad S. Alam 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 Mohammad S. Alam 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: 459 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Mohammad S. Alam 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 Mohammad S. Alam 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: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2000 - SPIE Fellow

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Optics

His scientific interests lie mostly in Automotive engineering, Proton exchange membrane fuel cell, Power station, Hybrid system and Power control. The Automotive engineering study combines topics in areas such as Transient and Electrical engineering. His Transient research incorporates themes from Control engineering, Peak demand and Efficient energy use.

His Power station research is multidisciplinary, incorporating elements of MATLAB, AC power, Mathematical optimization and Evolutionary programming. His Hybrid system study integrates concerns from other disciplines, such as Hybrid power, Electronic engineering and Electric power system. His study looks at the relationship between Electric power system and fields such as Wavelet, as well as how they intersect with chemical problems.

His most cited work include:

  • Dynamic modeling, design, and simulation of a combined PEM fuel cell and ultracapacitor system for stand-alone residential applications (276 citations)
  • Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone applications (273 citations)
  • A dynamic model for a stand-alone PEM fuel cell power plant for residential applications (242 citations)

What are the main themes of his work throughout his whole career to date?

Mohammad S. Alam spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Optics. Artificial intelligence and Fourier transform are commonly linked in his work. He combines subjects such as Apodization, Spectral density, Wavelet and Optical filter with his study of Fourier transform.

Mohammad S. Alam has included themes like Clutter and Hyperspectral imaging in his Computer vision study. His work deals with themes such as Artificial neural network, Object detection, Facial recognition system and Distortion, which intersect with Pattern recognition. His work carried out in the field of Algorithm brings together such families of science as Phase, Subtraction, Arithmetic, Noise and Encryption.

He most often published in these fields:

  • Artificial intelligence (48.21%)
  • Computer vision (36.90%)
  • Pattern recognition (23.81%)

What were the highlights of his more recent work (between 2012-2019)?

  • Artificial intelligence (48.21%)
  • Computer vision (36.90%)
  • Pattern recognition (23.81%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Artificial intelligence, Computer vision, Pattern recognition, Hyperspectral imaging and Pattern recognition. The concepts of his Computer vision study are interwoven with issues in Clutter and Joint. His Pattern recognition research includes themes of Preprocessor and Filter.

The various areas that he examines in his Hyperspectral imaging study include Spectral signature and Receiver operating characteristic. His Tracking research integrates issues from Object and Image processing. His Filter study combines topics in areas such as Algorithm, Fourier transform, Spectral density and Phase correlation.

Between 2012 and 2019, his most popular works were:

  • Correlation based efficient face recognition and color change detection (11 citations)
  • Optimal intermittent dose schedules for chemotherapy using genetic algorithm (10 citations)
  • Self-Organizing Hierarchical Particle Swarm Optimization of Correlation Filters for Object Recognition (9 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Optics

His primary areas of study are Artificial intelligence, Computer vision, Optics, Pattern recognition and Tracking. His Artificial intelligence study incorporates themes from Algorithm and Nonlinear system. His studies deal with areas such as Clutter, Distortion, Metric and Cluster analysis as well as Algorithm.

His Computer vision research is multidisciplinary, incorporating perspectives in Fourier transform and Matched filter. His study in the field of Bandwidth, Circular polarization and Wideband also crosses realms of Motion detection. While the research belongs to areas of Pattern recognition, Mohammad S. Alam spends his time largely on the problem of Filter, intersecting his research to questions surrounding Infrared, Forward looking infrared, Pattern recognition, Cognitive neuroscience of visual object recognition and Particle swarm optimization.

Best Publications

  • Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone applications

    M. Uzunoglu;M. Uzunoglu;O.C. Onar;O.C. Onar;M.S. Alam

  • A dynamic model for a stand-alone PEM fuel cell power plant for residential applications

    M.Y. El-Sharkh;A. Rahman;M.S. Alam;P.C. Byrne

  • Dynamic modeling, design, and simulation of a combined PEM fuel cell and ultracapacitor system for stand-alone residential applications

    M. Uzunoglu;M.S. Alam

  • Dynamic modeling, design and simulation of a wind/fuel cell/ultra-capacitor-based hybrid power generation system

    O.C. Onar;M. Uzunoglu;M.S. Alam

  • Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies

    Nasrullah Nasrullah;Jun Sang;Mohammad S. Alam;Muhammad Mateen

  • Fringe-adjusted joint transform correlation.

    Mohammad S. Alam;Mohammad A. Karim

  • Modeling, control and simulation of an autonomous wind turbine/photovoltaic/fuel cell/ultra-capacitor hybrid power system

    O.C. Onar;O.C. Onar;M. Uzunoglu;M. Uzunoglu;M.S. Alam

  • Infrared image registration and high-resolution reconstruction using multiple translationally shifted aliased video frames

    M.S. Alam;J.G. Bognar;R.C. Hardie;B.J. Yasuda

  • Dynamic modeling, design and simulation of a PEM fuel cell/ultra-capacitor hybrid system for vehicular applications

    M. Uzunoglu;M.S. Alam

  • Load sharing using fuzzy logic control in a fuel cell/ultracapacitor hybrid vehicle

    M.C. Kisacikoglu;M. Uzunoglu;M. Uzunoglu;M.S. Alam

  • Modeling and Analysis of an FC/UC Hybrid Vehicular Power System Using a Novel-Wavelet-Based Load Sharing Algorithm

    M. Uzunoglu;M.S. Alam

  • Analysis of active and reactive power control of a stand-alone PEM fuel cell power plant

    M.Y. El-Sharkh;A. Rahman;M.S. Alam;A.A. Sakla

  • Multiple target detection using a modified fringe-adjusted joint transform correlator

    Mohammad S. Alam;Mohammad A. Karim

  • Automatic target tracking in FLIR image sequences using intensity variation function and template modeling

    A. Bal;M.S. Alam

  • Preparation, Characterization and Stability Study of Dutasteride Loaded Nanoemulsion for Treatment of Benign Prostatic Hypertrophy

    Mohammad Sajid Ali;Mohammad Sarfaraz Alam;Nawazish Alam;Masoom Raza Siddiqui

  • Information hiding based on double random-phase encoding and public-key cryptography

    Yuan Sheng;Zhou Xin;Mohammad S. Alam;Lu Xi

  • Hybrid fuzzy logic control with genetic optimisation for a single-link flexible manipulator

    M. S. Alam;M. O. Tokhi

  • Cost related sensitivity analysis for optimal operation of a grid-parallel PEM fuel cell power plant

    M.Y. El-Sharkh;M. Tanrioven;A. Rahman;M.S. Alam

  • Neural network model of 100 W portable PEM fuel cell and experimental verification

    N.S. Sisworahardjo;N.S. Sisworahardjo;T. Yalcinoz;M.Y. El-Sharkh;M.S. Alam

  • Image Encryption Based on Logistic Chaotic Systems and Deep Autoencoder

    Yongpeng Sang;Jun Sang;Mohammad S. Alam

  • Fragility and Robustness of Binary-Phase-Only-Filter-Based Fragile/Semifragile Digital Image Watermarking

    Jun Sang;M.S. Alam

Frequent Co-Authors

Mehmet Uzunoglu
Mehmet Uzunoglu Yıldız Technical University
Omer C. Onar
Omer C. Onar Oak Ridge National Laboratory
Vijayan K. Asari
Vijayan K. Asari University of Dayton
Guoqiang Li
Guoqiang Li Louisiana State University
David Casasent
David Casasent Carnegie Mellon University
Russell C. Hardie
Russell C. Hardie University of Dayton
Bill P. Buckles
Bill P. Buckles University of North Texas
Kyung Hyun Choi
Kyung Hyun Choi Jeju National University
Dinesh Mondal
Dinesh Mondal International Centre for Diarrhoeal Disease Research
Nasser Peyghambarian
Nasser Peyghambarian University of Arizona

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