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Mohammad S. Alam

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 41 6857 6620 1869 1734 459 8529

Mohammad S. Alam publications per year

The chart shows the history of publications by Mohammad S. Alam between 1991 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mohammad S. Alam published across 31 years, from 1991 to 2021, averaging 15.2 papers a year. Output peaked at 44 publications in 2006. 6 of the 472 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1991 to 2021. Vertical axis: number of publications, 0 to 44. Peak 44 publications in 2006. 1991: 1 publication 1992: 12 publications 1993: 12 publications 1994: 15 publications 1995: 13 publications 1996: 6 publications 1997: 11 publications 1998: 17 publications 1999: 6 publications 2000: 18 publications 2001: 8 publications 2002: 16 publications 2003: 12 publications 2004: 39 publications 2005: 34 publications 2006: 44 publications 2007: 33 publications 2008: 25 publications 2009: 18 publications 2010: 12 publications 2011: 18 publications 2012: 23 publications 2013: 16 publications 2014: 13 publications 2015: 10 publications 2016: 11 publications 2017: 8 publications 2018: 6 publications 2019: 9 publications 2020: 3 publications 2021: 3 publications
1991 2021

472 publications in total across all disciplines

View publications per year as a table
Mohammad S. Alam: publications per year, 1991 to 2021
Year Publications
1991 1
1992 12
1993 12
1994 15
1995 13
1996 6
1997 11
1998 17
1999 6
2000 18
2001 8
2002 16
2003 12
2004 39
2005 34
2006 44
2007 33
2008 25
2009 18
2010 12
2011 18
2012 23
2013 16
2014 13
2015 10
2016 11
2017 8
2018 6
2019 9
2020 3
2021 3
Total 472
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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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 458–467 publications, is where this scientist sits. 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
38–47 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.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47 459
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 41 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362 41
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

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

External Links

Google Scholar page

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