World's Best Scientists 2026 revealed!
Fereidoon Moghadas Nejad

Fereidoon Moghadas Nejad

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
7925
World Ranking
4906
National Ranking
63

Fereidoon Moghadas Nejad 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 Fereidoon Moghadas Nejad 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: 257 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Fereidoon Moghadas Nejad 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 Fereidoon Moghadas Nejad 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: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Best Publications

  • Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures

    Amir Hossein Gandomi;Amir Hossein Alavi;Mohammad Reza Mirzahosseini;Fereidoon Moghadas Nejad

  • Image Based Techniques for Crack Detection, Classification and Quantification in Asphalt Pavement: A Review

    H. Zakeri;Fereidoon Moghadas Nejad;Ahmad Fahimifar

  • Effects of geosynthetics on reduction of reflection cracking in asphalt overlays

    Unknown

  • Sustainable asphalt concrete containing high reclaimed asphalt pavements and recycling agents: Performance assessment, cost analysis, and environmental impact

    Unknown

  • Effect of temperature and air void on mixed mode fracture toughness of modified asphalt mixtures

    M.R.M. Aliha;H. Fazaeli;S. Aghajani;F. Moghadas Nejad

  • Reuse of waste tire textile fibers as soil reinforcement

    Unknown

  • Nanoclay application to asphalt concrete: Characterization of polymer and linear nanocomposite-modified asphalt binder and mixture

    Unknown

  • Investigating the properties of crumb rubber modified bitumen using classic and SHRP testing methods

    Unknown

  • Improving aging resistance and fatigue performance of asphalt binders using inorganic nanoparticles

    Unknown

  • Designing sustainable concrete mixture by developing a new machine learning technique

    Unknown

  • Rutting performance prediction of warm mix asphalt containing reclaimed asphalt pavements

    Unknown

  • Pavement Friction and Skid Resistance Measurement Methods: A Literature Review

    Unknown

  • Performance evaluation of linear and nonlinear nanocomposite modified asphalts

    Unknown

  • Influence of using nonmaterial to reduce the moisture susceptibility of hot mix asphalt

    Unknown

  • Estimating the moisture damage of asphalt mixture modified with nano zinc oxide

    Unknown

  • Solar pavement: A new emerging technology

    Unknown

  • Physiochemical, Rheological, and Oxidative Aging Characteristics of Asphalt Binder in the Presence of Mesoporous Silica Nanoparticles

    Unknown

  • A comparison of multi-resolution methods for detection and isolation of pavement distress

    Unknown

  • The impacts of nano-SiO2 and silica fume on cement kiln dust treated soil as a sustainable cement-free stabilizer

    Unknown

  • An optimum feature extraction method based on Wavelet-Radon Transform and Dynamic Neural Network for pavement distress classification

    Unknown

Frequent Co-Authors

Amir H. Gandomi
Amir H. Gandomi University of Technology Sydney
M.R.M. Aliha
M.R.M. Aliha Iran University of Science and Technology
Amir H. Alavi
Amir H. Alavi University of Pittsburgh
M. H. Fazel Zarandi
M. H. Fazel Zarandi Amirkabir University of Technology
Mohammad Mohammadi Aghdam
Mohammad Mohammadi Aghdam Amirkabir University of Technology

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