World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
7164
World Ranking
3729
National Ranking
1079

Farhad Gharagheizi 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 Farhad Gharagheizi 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: 143 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Farhad Gharagheizi 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 Farhad Gharagheizi 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: 52 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

Farhad Gharagheizi is affiliated with the Georgia Institute of Technology in the United States. Their research primarily spans the fields of Engineering, Chemistry, and Materials Science, with specific focus areas including Inorganic Chemistry, Materials Chemistry, Mechanical Engineering, Biomedical Engineering, and Civil and Structural Engineering.

The scientist's work centers on several main topics, including:

  • Metal-Organic Frameworks: Synthesis and Applications
  • Carbon Dioxide Capture Technologies
  • Phase Equilibria and Thermodynamics
  • Covalent Organic Framework Applications
  • Machine Learning in Materials Science
  • Atmospheric and Environmental Gas Dynamics
  • Zeolite Catalysis and Synthesis

Farhad Gharagheizi has published in multiple peer-reviewed venues. Their frequent publication venues include:

  • The Journal of Physical Chemistry C
  • Industrial & Engineering Chemistry Research
  • ACS Applied Materials & Interfaces
  • Case Studies in Construction Materials
  • The Journal of Physical Chemistry B

Among recent papers authored or co-authored by Farhad Gharagheizi are:

  • "Comprehensive Assessment of the Accuracy of the Ideal Adsorbed Solution Theory for Predicting Binary Adsorption of Gas Mixtures in Porous Materials," 2021, Industrial & Engineering Chemistry Research
  • "Selecting Adsorbents to Separate Diverse Near-Azeotropic Chemicals," 2020, The Journal of Physical Chemistry C
  • "Curated Collection of More than 20,000 Experimentally Reported One-Dimensional Metal-Organic Frameworks," 2022, ACS Applied Materials & Interfaces

In addition, Gharagheizi has contributed to collaborative work including papers such as:

  • "A Collection of More than 900 Gas Mixture Adsorption Experiments in Porous Materials from Literature Meta-Analysis," 2020, Industrial & Engineering Chemistry Research
  • "Rheological behavior of a low crystallinity polyolefin-modified asphalt binder for flexible pavements," 2021, Case Studies in Construction Materials

Frequent collaborators in their research include David S. Sholl, Dai Tang, Jifeng Sun, Hanjun Fang, and Peter I. Ravikovitch. Collaboration networks indicate repeated partnerships, particularly with David S. Sholl.

Best Publications

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

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

  • QSPR analysis for intrinsic viscosity of polymer solutions by means of GA-MLR and RBFNN

    Farhad Gharagheizi

  • Prediction of Standard Enthalpy of Formation by a QSPR Model

    Ali Vatani;Mehdi Mehrpooya;Farhad Gharagheizi

  • Artificial Neural Network modeling of solubility of supercritical carbon dioxide in 24 commonly used ionic liquids

    Ali Eslamimanesh;Farhad Gharagheizi;Amir H. Mohammadi;Amir H. Mohammadi;Dominique Richon

  • Phase equilibrium modeling of clathrate hydrates of methane, carbon dioxide, nitrogen, and hydrogen + water soluble organic promoters using Support Vector Machine algorithm

    Ali Eslamimanesh;Farhad Gharagheizi;Mohammad Illbeigi;Amir H. Mohammadi;Amir H. Mohammadi

  • A novel method for evaluation of asphaltene precipitation titration data

    Amir H. Mohammadi;Amir H. Mohammadi;Ali Eslamimanesh;Farhad Gharagheizi;Dominique Richon;Dominique Richon

  • Experimental study on the performance of mechanical cooling tower with two types of film packing

    Farhad Gharagheizi;Reza Hayati;Shohreh Fatemi

  • Reservoir oil viscosity determination using a rigorous approach

    Abdolhossein Hemmati-Sarapardeh;Amin Shokrollahi;Afshin Tatar;Farhad Gharagheizi;Farhad Gharagheizi

  • Asphaltene precipitation due to natural depletion of reservoir: Determination using a SARA fraction based intelligent model

    Abdolhossein Hemmati-Sarapardeh;Abdolhossein Hemmati-Sarapardeh;Reza Alipour-Yeganeh-Marand;Ali Naseri;Anoush Safiabadi

  • 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

  • A New Neural Network−Group Contribution Method for Estimation of Flash Point Temperature of Pure Components

    Farhad Gharagheizi;Reza Fareghi Alamdari;Mahmood Torabi Angaji

  • Prediction of standard chemical exergy by a three descriptors QSPR model

    Farhad Gharagheizi;Mehdi Mehrpooya

  • Use of Artificial Neural Network-Group Contribution Method to Determine Surface Tension of Pure Compounds

    Farhad Gharagheizi;Ali Eslamimanesh;Amir H. Mohammadi;Dominique Richon

  • New procedure to calculate the Hansen solubility parameters of polymers

    Farhad Gharagheizi

  • Prediction of Flash Point Temperature of Pure Components Using a Quantitative Structure–Property Relationship Model

    Farhad Gharagheizi;Reza Fareghi Alamdari

  • Solubility Parameters of Nonelectrolyte Organic Compounds: Determination Using Quantitative Structure–Property Relationship Strategy

    Farhad Gharagheizi;Ali Eslamimanesh;Farhad Farjood;Amir H. Mohammadi;Amir H. Mohammadi

  • Artificial Neural Network Modeling of Solubilities of 21 Commonly Used Industrial Solid Compounds in Supercritical Carbon Dioxide

    Farhad Gharagheizi;Ali Eslamimanesh;Amir H. Mohammadi;Dominique Richon

  • Determination of Critical Properties and Acentric Factors of Pure Compounds Using the Artificial Neural Network Group Contribution Algorithm

    Farhad Gharagheizi;Ali Eslamimanesh;Amir H. Mohammadi;Dominique Richon

  • Quantitative Structure−Property Relationship for Prediction of the Lower Flammability Limit of Pure Compounds

    Farhad Gharagheizi

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

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

Frequent Co-Authors

Amir H. Mohammadi
Amir H. Mohammadi University of KwaZulu-Natal
Ali Eslamimanesh
Ali Eslamimanesh OLI Systems , Inc.
Dominique Richon
Dominique Richon University of KwaZulu-Natal
Mehdi Mehrpooya
Mehdi Mehrpooya University of Tehran
Amin Shokrollahi
Amin Shokrollahi École Polytechnique Fédérale de Lausanne
Milad Arabloo
Milad Arabloo PERM Inc.
Ali Vatani
Ali Vatani University of Tehran
David S. Sholl
David S. Sholl Georgia Institute of Technology
Abdolhossein Hemmati-Sarapardeh
Abdolhossein Hemmati-Sarapardeh Shahid Bahonar University of Kerman
Alireza Bahadori
Alireza Bahadori Southern Cross University

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