World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
9315
World Ranking
4548
National Ranking
33

Earth Science

D-Index
48
Citations
9092
World Ranking
3795
National Ranking
4

Salaheldin Elkatatny publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Salaheldin Elkatatny sits on this spectrum.

38–47 publications: 5 scientists 48–57 publications: 33 scientists 58–67 publications: 94 scientists 68–77 publications: 161 scientists 78–87 publications: 278 scientists 88–97 publications: 376 scientists 98–107 publications: 404 scientists 108–117 publications: 484 scientists 118–127 publications: 540 scientists 128–137 publications: 557 scientists 138–147 publications: 491 scientists 148–157 publications: 495 scientists 158–167 publications: 458 scientists 168–177 publications: 490 scientists 178–187 publications: 414 scientists 188–197 publications: 401 scientists 198–207 publications: 333 scientists 208–217 publications: 292 scientists 218–227 publications: 290 scientists 228–237 publications: 262 scientists 238–247 publications: 243 scientists 248–257 publications: 208 scientists 258–267 publications: 185 scientists 268–277 publications: 147 scientists 278–287 publications: 128 scientists 288–297 publications: 119 scientists 298–307 publications: 120 scientists 308–317 publications: 107 scientists 318–327 publications: 93 scientists 328–337 publications: 87 scientists 338–347 publications: 64 scientists 348–357 publications: 87 scientists 358–367 publications: 60 scientists 368–377 publications: 60 scientists 378–387 publications: 34 scientists 388–397 publications: 50 scientists 398–407 publications: 44 scientists 408–417 publications: 31 scientists 418–427 publications: 39 scientists 428–437 publications: 27 scientists 438–447 publications: 36 scientists 448–457 publications: 27 scientists 458–467 publications: 29 scientists 468–477 publications: 30 scientists 478–487 publications: 19 scientists 488–497 publications: 15 scientists 498–507 publications: 18 scientists 508–517 publications: 19 scientists 518–527 publications: 16 scientists 528–537 publications: 10 scientists 538–547 publications: 11 scientists 548–557 publications: 14 scientists 558–567 publications: 11 scientists 568–577 publications: 7 scientists 578–587 publications: 14 scientists 588–597 publications: 5 scientists 598–602 publications: 4 scientists 603+ publications: 100 scientists
38 publications 603+

This scientist: 404 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 603 publications or more.

Salaheldin Elkatatny D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Salaheldin Elkatatny sits on this spectrum.

30 D-Index: 144 scientists 31 D-Index: 215 scientists 32 D-Index: 278 scientists 33 D-Index: 379 scientists 34 D-Index: 366 scientists 35 D-Index: 372 scientists 36 D-Index: 389 scientists 37 D-Index: 366 scientists 38 D-Index: 344 scientists 39 D-Index: 349 scientists 40 D-Index: 296 scientists 41 D-Index: 289 scientists 42 D-Index: 277 scientists 43 D-Index: 279 scientists 44 D-Index: 248 scientists 45 D-Index: 257 scientists 46 D-Index: 212 scientists 47 D-Index: 202 scientists 48 D-Index: 207 scientists 49 D-Index: 204 scientists 50 D-Index: 183 scientists 51 D-Index: 178 scientists 52 D-Index: 182 scientists 53 D-Index: 178 scientists 54 D-Index: 163 scientists 55 D-Index: 117 scientists 56 D-Index: 163 scientists 57 D-Index: 120 scientists 58 D-Index: 113 scientists 59 D-Index: 136 scientists 60 D-Index: 135 scientists 61 D-Index: 96 scientists 62 D-Index: 103 scientists 63 D-Index: 83 scientists 64 D-Index: 103 scientists 65 D-Index: 83 scientists 66 D-Index: 89 scientists 67 D-Index: 92 scientists 68 D-Index: 89 scientists 69 D-Index: 78 scientists 70 D-Index: 75 scientists 71 D-Index: 53 scientists 72 D-Index: 62 scientists 73 D-Index: 54 scientists 74 D-Index: 35 scientists 75 D-Index: 52 scientists 76 D-Index: 50 scientists 77 D-Index: 32 scientists 78 D-Index: 37 scientists 79 D-Index: 20 scientists 80 D-Index: 33 scientists 81 D-Index: 36 scientists 82 D-Index: 34 scientists 83 D-Index: 34 scientists 84 D-Index: 24 scientists 85 D-Index: 19 scientists 86 D-Index: 18 scientists 87 D-Index: 26 scientists 88 D-Index: 30 scientists 89 D-Index: 17 scientists 90 D-Index: 21 scientists 91 D-Index: 19 scientists 92 D-Index: 15 scientists 93 D-Index: 14 scientists 94 D-Index: 20 scientists 95 D-Index: 9 scientists 96 D-Index: 10 scientists 97 D-Index: 15 scientists 98 D-Index: 13 scientists 99 D-Index: 3 scientists 100 D-Index: 13 scientists 101 D-Index: 3 scientists 102 D-Index: 9 scientists 103 D-Index: 4 scientists 104 D-Index: 6 scientists 105 D-Index: 6 scientists 106+ D-Index: 98 scientists
30 D-Index 106+

This scientist: 48 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 106 D-Index or more.

Overview

Salaheldin Elkatatny is affiliated with King Fahd University of Petroleum and Minerals in Saudi Arabia and has contributed extensively to the field of engineering, with a focus on drilling and well engineering among other areas. Their research spans multiple subfields, including ocean engineering, mechanical engineering, civil and structural engineering, mechanics of materials, and geophysics.

Their main areas of topical interest include drilling and well engineering, hydraulic fracturing and reservoir analysis, tunneling and rock mechanics, concrete and cement materials research, oil and gas production techniques, reservoir engineering and simulation methods, and hydrocarbon exploration and reservoir analysis.

Elkatatny has authored numerous papers, with notable recent publications such as:

  • "A review on clay chemistry, characterization and shale inhibitors for water-based drilling fluids" (2021, Journal of Petroleum Science and Engineering)
  • "Geopolymer as the future oil-well cement: A review" (2021, Journal of Petroleum Science and Engineering)
  • "Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools" (2021, Neural Computing and Applications)
  • "Insights into the application of surfactants and nanomaterials as shale inhibitors for water-based drilling fluid: A review" (2021, Journal of Natural Gas Science and Engineering)
  • "Application of machine learning models for real-time prediction of the formation lithology and tops from the drilling parameters" (2021, Journal of Petroleum Science and Engineering)

Their collaborative network includes frequent coauthors such as Hany Gamal, Ahmed Abdulhamid Mahmoud, Ahmed Farid Ibrahim, Abdulazeez Abdulraheem, and Ahmed Gowida.

Elkatatny's research has been published extensively in prominent venues including:

  • ACS Omega
  • Scientific Reports
  • Journal of Energy Resources Technology
  • Arabian Journal for Science and Engineering
  • Journal of Petroleum Science and Engineering

The breadth of Elkatatny's work covers fundamental and applied aspects of engineering disciplines with a particular emphasis on drilling technologies and reservoir analysis. This is reflected in both their diverse publication record and interdisciplinary collaboration within related fields.

Best Publications

  • Determination of the total organic carbon (TOC) based on conventional well logs using artificial neural network

    Ahmed Abdulhamid A. Mahmoud;Ahmed Abdulhamid A. Mahmoud;Salaheldin Elkatatny;Mohamed Mahmoud;Mohamed Mahmoud;Mohamed Abouelresh;Mohamed Abouelresh

  • Real time prediction of drilling fluid rheological properties using Artificial Neural Networks visible mathematical model (white box)

    Salaheldin Elkatatny;Salaheldin Elkatatny;Zeeshan Tariq;Mohamed Mahmoud;Mohamed Mahmoud

  • New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network

    Salaheldin Elkatatny;Salaheldin Elkatatny;Mohamed Mahmoud;Zeeshan Tariq;Abdulazeez Abdulraheem

  • A review on clay chemistry, characterization and shale inhibitors for water-based drilling fluids

    Nasiru Salahu Muhammed;Teslim Olayiwola;Salaheldin Elkatatny

  • Real-Time Prediction of Rheological Parameters of KCl Water-Based Drilling Fluid Using Artificial Neural Networks

    Salaheldin Elkatatny

  • Effect of pH on Rheological and Filtration Properties of Water-Based Drilling Fluid Based on Bentonite

    Hany Gamal;Salaheldin Elkatatny;Salem Basfar;Abdulaziz Al-Majed

  • Single stage filter cake removal of barite weighted water based drilling fluid

    B.S. Ba geri;Mohamed Mahmoud;Abdulazeez Abdulraheem;S.H. Al-Mutairi

  • Geopolymer as the future oil-well cement: A review

    Stephen Adjei;Salaheldin Elkatatny;Wilberforce Nkrumah Aggrey;Yasmin Abdelraouf

  • New Approach to Optimize the Rate of Penetration Using Artificial Neural Network

    Salaheldin Elkatatny;Salaheldin Elkatatny

  • Real Time Determination of Rheological Properties of Spud Drilling Fluids Using a Hybrid Artificial Intelligence Technique

    Khaled Abdelgawad;Salaheldin Elkatatny;Tamer Moussa;Mohamed Mahmoud

  • Development of New Permeability Formulation From Well Log Data Using Artificial Intelligence Approaches

    Tamer Moussa;Salaheldin Elkatatny;Mohamed Mahmoud;Abdulazeez Abdulraheem

  • Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools

    Ahmed Gowida;Salaheldin Elkatatny;Salaheldin Elkatatny;Hany Gamal

  • Effect of CO2 adsorption on enhanced natural gas recovery and sequestration in carbonate reservoirs

    Mohammed Eliebid;Mohamed Mahmoud;Reyad Shawabkeh;Salaheldin Elkatatny

  • New Approach to Estimate the Static Poisson?s Ratio using Artificial Intelligence Techniques

    Salaheldin Elkatatny

  • A Robust Rate of Penetration Model for Carbonate Formation

    Ahmad Al-AbdulJabbar;Salaheldin Elkatatny;Mohamed Mahmoud;Khaled Abdelgawad

  • Filter Cake Properties of Water-Based Drilling Fluids Under Static and Dynamic Conditions Using Computed Tomography Scan

    Salaheldin Elkatatny;Mohamed Mahmoud;Hisham A. Nasr-El-Din

  • Insights into the application of surfactants and nanomaterials as shale inhibitors for water-based drilling fluid: A review

    Nasiru Salahu Muhammed;Teslim Olayiwola;Salaheldin Elkatatny;Bashirul Haq

  • New Model for Pore Pressure Prediction While Drilling Using Artificial Neural Networks

    Abdulmalek Ahmed;Salaheldin Elkatatny;Salaheldin Elkatatny;Abdulwahab Ali;Mohamed Mahmoud

  • Clay minerals damage quantification in sandstone rocks using core flooding and NMR

    Muhammad Shahzad Kamal;Mohamed Mahmoud;Mohammed Hanfi;Salaheldin Elkatatny

  • An integrated approach for estimating static Young’s modulus using artificial intelligence tools

    Salaheldin Elkatatny;Salaheldin Elkatatny;Zeeshan Tariq;Mohamed Mahmoud;Mohamed Mahmoud;Abdulazeez Abdulraheem

  • Development of a new correlation to determine the static Young’s modulus

    Salaheldin Elkatatny;Mohamed Mahmoud;Ibrahim Mohamed;Abdulazeez Abdulraheem

  • Enhancing the Rheological Properties of Water-Based Drilling Fluid Using Micronized Starch

    Salaheldin Elkatatny

Frequent Co-Authors

Mohamed Mahmoud
Mohamed Mahmoud King Fahd University of Petroleum and Minerals
Abdulazeez Abdulraheem
Abdulazeez Abdulraheem King Fahd University of Petroleum and Minerals
Shirish Patil
Shirish Patil King Fahd University of Petroleum and Minerals
Hisham A. Nasr-El-Din
Hisham A. Nasr-El-Din Texas A&M University
Ibnelwaleed A. Hussein
Ibnelwaleed A. Hussein Qatar University
Abdullah S. Sultan
Abdullah S. Sultan King Fahd University of Petroleum and Minerals
Mustafa S. Nasser
Mustafa S. Nasser Qatar University
Pacelli L.J. Zitha
Pacelli L.J. Zitha Delft University of Technology
Alireza Bahadori
Alireza Bahadori Southern Cross University

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