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Mohammad Ali Ahmadi

Mohammad Ali Ahmadi

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 68 1261 1194 49 45 188 11148

Mohammad Ali Ahmadi publications per year

The chart shows the history of publications by Mohammad Ali Ahmadi between 2008 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mohammad Ali Ahmadi published across 18 years, from 2008 to 2025, averaging 13.7 papers a year. Output peaked at 45 publications in 2016. 27 of the 247 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2008 to 2025. Vertical axis: number of publications, 0 to 45. Peak 45 publications in 2016. 2008: 1 publication 2009: 0 publications 2010: 1 publication 2011: 1 publication 2012: 10 publications 2013: 21 publications 2014: 36 publications 2015: 33 publications 2016: 45 publications 2017: 19 publications 2018: 14 publications 2019: 9 publications 2020: 2 publications 2021: 1 publication 2022: 5 publications 2023: 22 publications 2024: 18 publications 2025: 9 publications
2008 2025

247 publications in total across all disciplines

View publications per year as a table
Mohammad Ali Ahmadi: publications per year, 2008 to 2025
Year Publications
2008 1
2009 0
2010 1
2011 1
2012 10
2013 21
2014 36
2015 33
2016 45
2017 19
2018 14
2019 9
2020 2
2021 1
2022 5
2023 22
2024 18
2025 9
Total 247
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Mohammad Ali Ahmadi 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 Ali Ahmadi 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, 188–197 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: 188 publications — 43rd percentile

43% 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
188–197 378 188
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
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
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Mohammad Ali Ahmadi 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 Ali Ahmadi 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, 68 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: 68 D-Index — 88th percentile

88% 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
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 68
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
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Overview

Mohammad Ali Ahmadi is a researcher affiliated with the University of Calgary in Canada, with a specialized focus on engineering and chemistry. Their publication record includes a significant number of works spanning these main fields, notably within subfields such as Ocean Engineering, Analytical Chemistry, Mechanics of Materials, Artificial Intelligence, and Mechanical Engineering.

Their research addresses core topics including Enhanced Oil Recovery Techniques, Petroleum Processing and Analysis, Hydrocarbon Exploration and Reservoir Analysis, Hydraulic Fracturing and Reservoir Analysis, Surfactants and Colloidal Systems, Anomaly Detection Techniques and Applications, and Reservoir Engineering and Simulation Methods.

Recent papers published by Mohammad Ali Ahmadi include the following:

  • Comprehensive molecular scale modeling of anionic surfactant-asphaltene interactions, 2020, Fuel
  • Insight into the Interfacial Behavior of Surfactants and Asphaltenes: Molecular Dynamics Simulation Study, 2020, Energy & Fuels
  • Interfacial and molecular interactions between fractions of heavy oil and surfactants in porous media: Comprehensive review, 2020, Advances in Colloid and Interface Science
  • Machine learning-based models for predicting permeability impairment due to scale deposition, 2020, Journal of Petroleum Exploration and Production Technology
  • Comprehensive review of the interfacial behavior of water/oil/surfactant systems using dissipative particle dynamics simulation, 2022, Advances in Colloid and Interface Science

Frequent publication venues for their work include:

  • Energy
  • Fuel
  • Advances in Colloid and Interface Science
  • Journal of Molecular Liquids
  • Scientific Reports

Collaborative research has often involved working with coauthors such as Zhangxin Chen, Qingfeng Hou, Benjieming Liu, Xuantong Lei, and Yuanyuan Wang.

Best Publications

  • Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir

    Mohammad Ali Ahmadi;Mohammad Ebadi;Amin Shokrollahi;Seyed Mohammad Javad Majidi

  • Reservoir permeability prediction by neural networks combined with hybrid genetic algorithm and particle swarm optimization

    Mohammad Ali Ahmadi;Sohrab Zendehboudi;Ali Lohi;Ali Elkamel

  • Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches

    Alireza Baghban;Mohammad Ali Ahmadi;Bahram Hashemi Shahraki

  • Renewable energy harvesting with the application of nanotechnology: A review

    Mohammad H. Ahmadi;Mahyar Ghazvini;Mohammad Alhuyi Nazari;Mohammad Ali Ahmadi

  • Experimental investigation of a natural surfactant adsorption on shale-sandstone reservoir rocks: Static and dynamic conditions

    Mohammad Ali Ahmadi;Seyed Reza Shadizadeh

  • Adsorption of Novel Nonionic Surfactant and Particles Mixture in Carbonates: Enhanced Oil Recovery Implication

    Mohammad Ali Ahmadi;Seyed Reza Shadizadeh

  • Implementation of a high-performance surfactant for enhanced oil recovery from carbonate reservoirs

    Mohammad Ali Ahmadi;Seyed Reza Shadizadeh

  • Thermal models for analysis of performance of Stirling engine: A review

    Mohammad H. Ahmadi;Mohammad-Ali Ahmadi;Fathollah Pourfayaz

  • Nonionic Surfactant for Enhanced Oil Recovery from Carbonates: Adsorption Kinetics and Equilibrium

    Mohammad Ali Ahmadi;Sohrab Zendehboudi;Ali Shafiei;Lesley James

  • Induced effect of adding nano silica on adsorption of a natural surfactant onto sandstone rock: Experimental and theoretical study

    Mohammad Ali Ahmadi;Mohammad Ali Ahmadi;Seyed Reza Shadizadeh

  • Experimental investigation of adsorption of a new nonionic surfactant on carbonate minerals

    Mohammad Ali Ahmadi;Seyed Reza Shadizadeh

  • A proposed model to predict thermal conductivity ratio of Al2O3/EG nanofluid by applying least squares support vector machine (LSSVM) and genetic algorithm as a connectionist approach

    Mohammad Hossein Ahmadi;Mohammad Ali Ahmadi;Mohammad Alhuyi Nazari;Omid Mahian

  • Neural network based swarm concept for prediction asphaltene precipitation due to natural depletion

    Mohammad Ali Ahmadi;Mohammad Golshadi

  • Prediction of Condensate-to-Gas Ratio for Retrograde Gas Condensate Reservoirs Using Artificial Neural Network with Particle Swarm Optimization

    Sohrab Zendehboudi;Mohammad Ali Ahmadi;Lesley James;Ioannis Chatzis

  • Determination of oil well production performance using artificial neural network (ANN) linked to the particle swarm optimization (PSO) tool

    Mohammad Ali Ahmadi;Reza Soleimani;Moonyong Lee;Tomoaki Kashiwao

  • Prediction breakthrough time of water coning in the fractured reservoirs by implementing low parameter support vector machine approach

    Mohammad Ali Ahmadi;Mohammad Ebadi;Seyed Moein Hosseini

  • New approach for prediction of asphaltene precipitation due to natural depletion by using evolutionary algorithm concept

    Mohammad Ali Ahmadi;Seyed Reza Shadizadeh

  • Evolving smart approach for determination dew point pressure through condensate gas reservoirs

    Mohammad Ali Ahmadi;Mohammad Ali Ahmadi;Mohammad Ebadi

  • Connectionist model predicts the porosity and permeability of petroleum reservoirs by means of petro-physical logs: Application of artificial intelligence

    Mohammad-Ali Ahmadi;Mohammad Reza Ahmadi;Seyed Moein Hosseini;Mohammad Ebadi

  • Wettability Alteration in Carbonate Rocks by Implementing New Derived Natural Surfactant: Enhanced Oil Recovery Applications

    Mohammad Ali Ahmadi;Morteza Galedarzadeh;Seyed Reza Shadizadeh

  • Neural network based unified particle swarm optimization for prediction of asphaltene precipitation

    Mohammad Ali Ahmadi

  • 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

Frequent Co-Authors

Mohammad Hossein Ahmadi
Mohammad Hossein Ahmadi Shahrood University of Technology
Seyed Reza Shadizadeh
Seyed Reza Shadizadeh Petroleum University of Technology
Alireza Bahadori
Alireza Bahadori Southern Cross University
Sohrab Zendehboudi
Sohrab Zendehboudi Memorial University of Newfoundland
Michel Feidt
Michel Feidt University of Lorraine
Fathollah Pourfayaz
Fathollah Pourfayaz University of Tehran
Ioannis Chatzis
Ioannis Chatzis University of Waterloo
Ali Elkamel
Ali Elkamel University of Waterloo
Roghayeh Ghasempour
Roghayeh Ghasempour University of Tehran
Moonyong Lee
Moonyong Lee Yeungnam University

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