World's Best Scientists 2026 revealed!
Maen M. Husein

Maen M. Husein

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
4620
World Ranking
8183
National Ranking
328

Maen M. Husein 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 Maen M. Husein 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: 129 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Maen M. Husein 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 Maen M. Husein 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: 38 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Maen M. Husein is affiliated with the University of Calgary in Canada and has a significant body of work in engineering, with a primary focus on enhanced oil recovery techniques and related fields. Their research spans various topics, including hydrocarbon exploration and reservoir analysis, petroleum processing and analysis, and hydraulic fracturing and reservoir analysis.

They have contributed to the advancement of knowledge in fields such as Ocean Engineering, Mechanics of Materials, Analytical Chemistry, Mechanical Engineering, and Civil and Structural Engineering. These subfields illustrate the multidisciplinary nature of their work, integrating engineering principles with applied research in petroleum science.

Their recent papers cover several specialized areas within energy and materials science. Notable publications include:

  • Application of bare nanoparticle-based nanofluids in enhanced oil recovery, 2020, Fuel
  • Application of nanoparticles for asphaltenes adsorption and oxidation: A critical review of challenges and recent progress, 2020, Fuel
  • Application of cascade forward neural network and group method of data handling to modeling crude oil pyrolysis during thermal enhanced oil recovery, 2021, Journal of Petroleum Science and Engineering
  • Artificial Intelligence Based Methods for Asphaltenes Adsorption by Nanocomposites: Application of Group Method of Data Handling, Least Squares Support Vector Machine, and Artificial Neural Networks, 2020, Nanomaterials
  • Evolution of adsorbed layers of asphaltenes at oil-water interfaces: A novel experimental protocol, 2021, Journal of Colloid and Interface Science

Frequent co-authors in their research include:

  • Abdolhossein Hemmati-Sarapardeh
  • Mahin Schaffie
  • Mohammad Ranjbar
  • Reza Lashkari
  • Amgad Salama

The venues where Maen M. Husein has most frequently published are:

  • Fuel
  • SSRN Electronic Journal
  • Journal of Petroleum Science and Engineering
  • Colloids and Surfaces A Physicochemical and Engineering Aspects
  • Geoenergy Science and Engineering

The main topics covered by their work include:

  • Enhanced Oil Recovery Techniques
  • Hydrocarbon exploration and reservoir analysis
  • Petroleum Processing and Analysis
  • Hydraulic Fracturing and Reservoir Analysis
  • Drilling and Well Engineering
  • Membrane Separation Technologies
  • Pickering emulsions and particle stabilization

Maen M. Husein's research integrates experimental approaches and artificial intelligence-based modeling to address challenges in petroleum science, particularly in aspects related to nanoparticles and nanocomposites for enhanced oil recovery and asphaltene management.

Best Publications

  • On the evaluation of the viscosity of nanofluid systems: Modeling and data assessment

    Abdolhossein Hemmati-Sarapardeh;Amir Varamesh;Maen M. Husein;Kunal Karan

  • Novel Nanoparticle-Based Drilling Fluid with Improved Characteristics

    Mohammad F. Zakaria;Maen Husein;Geir Hareland

  • Adsorption of asphaltenes from heavy oil onto in situ prepared NiO nanoparticles.

    Belal J. Abu Tarboush;Maen M. Husein

  • Toward mechanistic understanding of asphaltene aggregation behavior in toluene: The roles of asphaltene structure, aging time, temperature, and ultrasonic radiation

    Abdolhossein Hemmati-Sarapardeh;Bahram Dabir;Mohammad Ahmadi;Amir H. Mohammadi;Amir H. Mohammadi

  • Application of bare nanoparticle-based nanofluids in enhanced oil recovery

    Mohamad Sahban Alnarabiji;Maen M. Husein

  • Application of In-House Prepared Nanoparticles as Filtration Control Additive to Reduce Formation Damage

    Oscar M. Contreras;Geir Hareland;Maen M. Husein;Runar Nygaard

  • Application of adaptive neuro fuzzy interface system optimized with evolutionary algorithms for modeling CO2-crude oil minimum miscibility pressure

    Abdorreza Karkevandi-Talkhooncheh;Sassan Hajirezaie;Abdolhossein Hemmati-Sarapardeh;Abdolhossein Hemmati-Sarapardeh;Maen M. Husein

  • A review of polymer nanohybrids for oil recovery

    Laura M. Corredor;Maen M. Husein;Brij B. Maini

  • Nanoparticle Preparation Using the Single Microemulsions Scheme

    Maen M. Husein;Nashaat N. Nassar

  • Modeling minimum miscibility pressure during pure and impure CO2 flooding using hybrid of radial basis function neural network and evolutionary techniques

    Abdorreza Karkevandi-Talkhooncheh;Alireza Rostami;Abdolhossein Hemmati-Sarapardeh;Abdolhossein Hemmati-Sarapardeh;Mohammad Ahmadi

  • Produced water treatment by micellar-enhanced ultrafiltration.

    Ali Deriszadeh;Maen M. Husein;Thomas G. Harding

  • Application of nanoparticles for asphaltenes adsorption and oxidation: A critical review of challenges and recent progress

    Mohammad Sadegh Mazloom;Abdolhossein Hemmati-Sarapardeh;Abdolhossein Hemmati-Sarapardeh;Maen M. Husein;Hassan Shokrollahzadeh Behbahani

  • Wellbore Strengthening-Nano-Particle Drilling Fluid Experimental Design Using Hydraulic Fracture Apparatus

    Charles O. Nwaoji;Geir Hareland;Maen M. Husein;Runar Nygaard

  • Application of cascade forward neural network and group method of data handling to modeling crude oil pyrolysis during thermal enhanced oil recovery

    Mohammad-Reza Mohammadi;Abdolhossein Hemmati-Sarapardeh;Mahin Schaffie;Maen M. Husein

  • Hydrocracking of Heavy Oil by Means of In Situ Prepared Ultradispersed Nickel Nanocatalyst

    Salman Alkhaldi;Maen M. Husein

  • Wellbore Strengthening In Sandstones by Means of Nanoparticle-Based Drilling Fluids

    Oscar M. Contreras;Geir Hareland;Maen M. Husein;Runar Nygaard

  • Asphaltenes Adsorption onto Metal Oxide Nanoparticles: A Critical Evaluation of Measurement Techniques

    Nkiru L. Ezeonyeka;Abdolhossein Hemmati-Sarapardeh;Maen M. Husein

  • Effect of microemulsion variables on copper oxide nanoparticle uptake by AOT microemulsions.

    Nashaat N. Nassar;Maen M. Husein

  • In-depth characterization of light, medium and heavy oil asphaltenes as well as asphaltenes subfractions

    Unknown

  • Heavy oil recovery by surface modified silica nanoparticle/HPAM nanofluids

    Laura M. Corredor;Ehsan Aliabadian;Maen Husein;Zhangxin Chen

  • Ultradispersed particles in heavy oil: Part I, preparation and stabilization of iron oxide/hydroxide

    Nashaat N. Nassar;Maen M. Husein

  • Experimental Investigation on Wellbore Strengthening In Shales by Means of Nanoparticle-Based Drilling Fluids

    Oscar M. Contreras;Geir Hareland;Maen M. Husein;Runar Nygaard

  • Effects of Oil Viscosity on the Plugging Performance of Oil-in-Water Emulsion in Porous Media

    Zan Chen;Mingzhe Dong;Maen M. Husein;Steven L. Bryant

Frequent Co-Authors

Abdolhossein Hemmati-Sarapardeh
Abdolhossein Hemmati-Sarapardeh Shahid Bahonar University of Kerman
Nashaat N. Nassar
Nashaat N. Nassar University of Calgary
Brij B. Maini
Brij B. Maini University of Calgary
Mingzhe Dong
Mingzhe Dong University of Calgary
Amir H. Mohammadi
Amir H. Mohammadi University of KwaZulu-Natal
Jinsen Gao
Jinsen Gao China University of Petroleum, Beijing
Mohammad Hossein Ahmadi
Mohammad Hossein Ahmadi Shahrood University of Technology
Kunal Karan
Kunal Karan University of Calgary
Roberto Aguilera
Roberto Aguilera Curtin University
Sohrab Zendehboudi
Sohrab Zendehboudi Memorial University of Newfoundland

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