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Milad Arabloo

Milad Arabloo

PERM Inc.
Canada

Award Badge
Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 35 858 855 20 20 64 3042
Engineering and Technology 37 8531 8225 341 329 61 3328

Milad Arabloo publications per year

The chart shows the history of publications by Milad Arabloo between 2012 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Milad Arabloo published across 13 years, from 2012 to 2024, averaging 4.9 papers a year. Output peaked at 15 publications in 2014. 1 of the 64 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2012 to 2024. Vertical axis: number of publications, 0 to 15. Peak 15 publications in 2014. 2012: 2 publications 2013: 9 publications 2014: 15 publications 2015: 9 publications 2016: 11 publications 2017: 9 publications 2018: 4 publications 2019: 1 publication 2020: 3 publications 2021: 0 publications 2022: 0 publications 2023: 0 publications 2024: 1 publication
2012 2024

64 publications in total across all disciplines

View publications per year as a table
Milad Arabloo: publications per year, 2012 to 2024
Year Publications
2012 2
2013 9
2014 15
2015 9
2016 11
2017 9
2018 4
2019 1
2020 3
2021 0
2022 0
2023 0
2024 1
Total 64
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Milad Arabloo 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 Milad Arabloo 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, 58–67 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: 61 publications — 1st percentile

1% 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 61
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
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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Milad Arabloo 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 Milad Arabloo 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, 37 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: 37 D-Index — 16th percentile

16% 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 37
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
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

  • 2025 - Research.com Rising Stars Award

Overview

Milad Arabloo is affiliated with PERM Inc. in Canada and has contributions across multiple fields related to engineering and environmental science. Their research portfolio spans diverse subfields including ocean engineering, environmental engineering, water science and technology, computational mechanics, and civil and structural engineering.

Their published work includes studies on enhanced oil recovery techniques, hydrological forecasting using artificial intelligence, water quality monitoring technologies, lattice Boltzmann simulation studies, grouting, rheology and soil mechanics, hydraulic fracturing and reservoir analysis, as well as drilling and well engineering.

Their recent scholarly articles include:

  • Microfluidic study of surfactant flooding of heavy oil in layered porous media containing fractures, 2024, The Canadian Journal of Chemical Engineering
  • Physicochemical properties of nano-enhanced colloidal gas aphron (NCGA)-based fluids, 2020, The European Physical Journal Plus
  • Robust computational modelling of the sodium adsorption ratio using regression analysis and support vector machine, 2020, International Journal of Data Science

Milad Arabloo has published multiple articles in several frequent publication venues such as:

  • International Journal of Data Science
  • The European Physical Journal Plus
  • The Canadian Journal of Chemical Engineering

Their collaboration network includes frequent coauthors:

  • Mohammad Hossein Ghazanfari
  • Alireza Rostami
  • Alibakhsh Kasaeian
  • Khalil Shahbazi
  • Amir Tabzar

The main areas of study of their work consist of:

  • Engineering
  • Environmental Science

The subfields most represented in their research are:

  • Ocean Engineering
  • Environmental Engineering
  • Water Science and Technology
  • Computational Mechanics
  • Civil and Structural Engineering

The core topics covered in Milad Arabloo's publications include:

  • Enhanced Oil Recovery Techniques
  • Hydrological Forecasting Using AI
  • Water Quality Monitoring Technologies
  • Lattice Boltzmann Simulation Studies
  • Grouting, Rheology, and Soil Mechanics
  • Hydraulic Fracturing and Reservoir Analysis
  • Drilling and Well Engineering

Best Publications

  • Intelligent model for prediction of CO2 – Reservoir oil minimum miscibility pressure

    Amin Shokrollahi;Milad Arabloo;Farhad Gharagheizi;Farhad Gharagheizi;Amir H. Mohammadi

  • Implementing radial basis function networks for modeling CO2-reservoir oil minimum miscibility pressure

    Afshin Tatar;Amin Shokrollahi;Mohammad Mesbah;Saeed Rashid

  • Implementation of SVM framework to estimate PVT properties of reservoir oil

    Shahin Rafiee-Taghanaki;Milad Arabloo;Ali Chamkalani;Ali Chamkalani;Mahmood Amani

  • Laccase immobilized manganese ferrite nanoparticle: Synthesis and LSSVM intelligent modeling of decolorization

    Niyaz Mohammad Mahmoodi;Milad Arabloo;Jafar Abdi

  • Efficient estimation of natural gas compressibility factor using a rigorous method

    Amir Fayazi;Milad Arabloo;Amir H. Mohammadi

  • Rapid method to estimate the minimum miscibility pressure (MMP) in live reservoir oil systems during CO2 flooding

    Arash Kamari;Milad Arabloo;Amin Shokrollahi;Farhad Gharagheizi;Farhad Gharagheizi

  • Application of ANFIS soft computing technique in modeling the CO2 capture with MEA, DEA, and TEA aqueous solutions

    Mohammad M. Ghiasi;Mohammad M. Ghiasi;Milad Arabloo;Amir H. Mohammadi;Amir H. Mohammadi;Tohid Barghi

  • State-of-the-Art Least Square Support Vector Machine Application for Accurate Determination of Natural Gas Viscosity

    Amir Fayazi;Milad Arabloo;Amin Shokrollahi;Mohammad Hadi Zargari

  • Toward a predictive model for estimating dew point pressure in gas condensate systems

    Milad Arabloo;Amin Shokrollahi;Farhad Gharagheizi;Farhad Gharagheizi;Amir H. Mohammadi

  • Application of constrained multi-variable search methods for prediction of PVT properties of crude oil systems

    Milad Arabloo;Mohammad-Amin Amooie;Abdolhossein Hemmati-Sarapardeh;Mohammad-Hossein Ghazanfari

  • Toward an intelligent approach for determination of saturation pressure of crude oil

    Amir Farasat;Amin Shokrollahi;Milad Arabloo;Farhad Gharagheizi

  • Modeling of CO2 solubility in crude oil during carbon dioxide enhanced oil recovery using gene expression programming

    Alireza Rostami;Milad Arabloo;Arash Kamari;Amir H. Mohammadi

  • Wettability modification, interfacial tension and adsorption characteristics of a new surfactant: Implications for enhanced oil recovery

    Milad Arabloo;Mohammad Hossein Ghazanfari;Davood Rashtchian

  • Application of a radial basis function neural network to estimate pressure gradient in water–oil pipelines

    Mohamad A. Halali;Vahid Azari;Milad Arabloo;Amir H. Mohammadi;Amir H. Mohammadi

  • Prediction of natural gas flow through chokes using support vector machine algorithm

    Ibrahim Nejatian;Mojtaba Kanani;Milad Arabloo;Alireza Bahadori

  • Application of soft computing approaches for modeling saturation pressure of reservoir oils

    Roya Talebi;Mohammad M. Ghiasi;Hossein Talebi;Mehrdad Mohammadyian

  • A novel modeling approach to optimize oxygen–steam ratios in coal gasification process

    Milad Arabloo;Alireza Bahadori;Mohammad M. Ghiasi;Moonyong Lee

  • Robust Modeling Approach for Estimation of Compressibility Factor in Retrograde Gas Condensate Systems

    Mohammad M. Ghiasi;Arya Shahdi;Pezhman Barati;Milad Arabloo

  • Toward genetic programming (GP) approach for estimation of hydrocarbon/water interfacial tension

    Alireza Rostami;Hojatollah Ebadi;Milad Arabloo;Mahdi Kalantari Meybodi

  • Accurate estimation of CO2 adsorption on activated carbon with multi-layer feed-forward neural network (MLFNN) algorithm

    Alireza Rostami;Mohammad Amin Anbaz;Hamid Reza Erfani Gahrooei;Milad Arabloo

  • Characterization of Colloidal Gas Aphron-Fluids Produced from a New Plant-Based Surfactant

    Milad Arabloo;Mojtaba Pordel Shahri;Majid Zamani

Frequent Co-Authors

Amir H. Mohammadi
Amir H. Mohammadi University of KwaZulu-Natal
Amin Shokrollahi
Amin Shokrollahi École Polytechnique Fédérale de Lausanne
Alireza Bahadori
Alireza Bahadori Southern Cross University
Farhad Gharagheizi
Farhad Gharagheizi Georgia Institute of Technology
Mohammad Hossein Ghazanfari
Mohammad Hossein Ghazanfari Sharif University of Technology
Moonyong Lee
Moonyong Lee Yeungnam University
Sohrab Zendehboudi
Sohrab Zendehboudi Memorial University of Newfoundland
Niyaz Mohammad Mahmoodi
Niyaz Mohammad Mahmoodi Institute for Color Science and Technology
Ali Abbas
Ali Abbas University of Sydney
Alibakhsh Kasaeian
Alibakhsh Kasaeian University of Tehran

External Links

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Best Scientists Citing Milad Arabloo

Amir H. Mohammadi

Amir H. Mohammadi

University of KwaZulu-Natal

Publications: 99

Abdolhossein Hemmati-Sarapardeh

Abdolhossein Hemmati-Sarapardeh

Shahid Bahonar University of Kerman

Publications: 41

Alireza Bahadori

Alireza Bahadori

Southern Cross University

Publications: 32

Sohrab Zendehboudi

Sohrab Zendehboudi

Memorial University of Newfoundland

Publications: 30

Niyaz Mohammad Mahmoodi

Niyaz Mohammad Mahmoodi

Institute for Color Science and Technology

Publications: 29

Mohammad Hossein Ghazanfari

Mohammad Hossein Ghazanfari

Sharif University of Technology

Publications: 23

Amin Shokrollahi

Amin Shokrollahi

École Polytechnique Fédérale de Lausanne

Publications: 20

Alireza Baghban

Alireza Baghban

Amirkabir University of Technology

Publications: 17

Farhad Gharagheizi

Farhad Gharagheizi

Georgia Institute of Technology

Publications: 13

Amir Mosavi

Amir Mosavi

Óbuda University

Publications: 10

Abdulazeez Abdulraheem

Abdulazeez Abdulraheem

King Fahd University of Petroleum and Minerals

Publications: 10

Moonyong Lee

Moonyong Lee

Yeungnam University

Publications: 10

Salaheldin Elkatatny

Salaheldin Elkatatny

King Fahd University of Petroleum and Minerals

Publications: 10

Shahab Ayatollahi

Shahab Ayatollahi

Sharif University of Technology

Publications: 8

Abbas Khaksar Manshad

Abbas Khaksar Manshad

Petroleum University of Technology

Publications: 8

Maen M. Husein

Maen M. Husein

University of Calgary

Publications: 7

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