World's Best Scientists 2026 revealed!
Amir Mohammad Fathollahi-Fard

Amir Mohammad Fathollahi-Fard

D-Index & Metrics

Engineering and Technology

D-Index
59
Citations
9514
World Ranking
2412
National Ranking
98

Amir Mohammad Fathollahi-Fard 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 Amir Mohammad Fathollahi-Fard 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: 138 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Amir Mohammad Fathollahi-Fard 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 Amir Mohammad Fathollahi-Fard 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Best Publications

  • Red deer algorithm (RDA): a new nature-inspired meta-heuristic

    Amir Mohammad Fathollahi-Fard;Mostafa Hajiaghaei-Keshteli;Reza Tavakkoli-Moghaddam;Reza Tavakkoli-Moghaddam

  • Exact and metaheuristic algorithms for the vehicle routing problem with a factory-in-a-box in multi-objective settings

    Unknown

  • Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks

    Navid Sahebjamnia;Amir Mohammad Fathollahi-Fard;Mostafa Hajiaghaei-Keshteli

  • The Social Engineering Optimizer (SEO)

    Amir Mohammad Fathollahi-Fard;Mostafa Hajiaghaei-Keshteli;Reza Tavakkoli-Moghaddam

  • Transformation and Linearization Techniques in Optimization: A State-of-the-Art Survey

    Unknown

  • Blockchain in supply chain management: a review, bibliometric, and network analysis

    Javid Moosavi;Leila M. Naeni;Amir M. Fathollahi-Fard;Ugo Fiore

  • Recycling of spent Lithium-ion Batteries: A comprehensive review for identification of main challenges and future research trends

    Unknown

  • A survey of multi-criteria decision-making techniques for green logistics and low-carbon transportation systems

    Unknown

  • A green home health care supply chain: New modified simulated annealing algorithms

    Amir Mohammad Fathollahi-Fard;Kannan Govindan;Mostafa Hajiaghaei-Keshteli;Abbas Ahmadi

  • A bi-objective home healthcare routing and scheduling problem considering patients’ satisfaction in a fuzzy environment

    Amir Mohammad Fathollahi-Fard;Abbas Ahmadi;Fariba Goodarzian;Naoufel Cheikhrouhou

  • Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint

    Yaping Fu;Guangdong Tian;Amir Mohammad Fathollahi-Fard;Abbas Ahmadi

  • Two hybrid meta-heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty

    Amir M. Fathollahi-Fard;Maxim A. Dulebenets;Mostafa Hajiaghaei–Keshteli;Reza Tavakkoli-Moghaddam

  • Sustainable closed-loop supply chain network for an integrated water supply and wastewater collection system under uncertainty.

    Amir Mohammad Fathollahi-Fard;Abbas Ahmadi;S.M.J. Mirzapour Al-e-Hashem

  • Sustainable closed-loop supply chain network design with discount supposition

    Mostafa Hajiaghaei-Keshteli;Amir Mohammad Fathollahi Fard

  • Implementation of solar energy in smart cities using an integration of artificial neural network, photovoltaic system and classical Delphi methods

    Nasim Ghadami;Mohammad Gheibi;Mohammad Gheibi;Zahra Kian;Mahdieh G. Faramarz

  • An Enhanced Social Engineering Optimizer for Solving an Energy-Efficient Disassembly Line Balancing Problem Based on Bucket Brigades and Cloud Theory

    Unknown

  • Multi-objective stochastic closed-loop supply chain network design with social considerations

    Amir Mohammad Fathollahi-Fard;Mostafa Hajiaghaei-Keshteli;Seyedali Mirjalili

  • The Drone Scheduling Problem: A Systematic State-of-the-Art Review

    Unknown

  • A bi-objective green home health care routing problem

    Amir Mohammad Fathollahi-Fard;Mostafa Hajiaghaei-Keshteli;Reza Tavakkoli-Moghaddam;Reza Tavakkoli-Moghaddam

  • Sustainable vehicle routing problem for coordinated solid waste management

    Mohammad Mojtahedi;Amir M. Fathollahi-Fard;Reza Tavakkoli-Moghaddam;Sidney Newton

Frequent Co-Authors

Mostafa Hajiaghaei-Keshteli
Mostafa Hajiaghaei-Keshteli Monterrey Institute of Technology and Higher Education
Guangdong Tian
Guangdong Tian Shandong University
Reza Tavakkoli-Moghaddam
Reza Tavakkoli-Moghaddam University of Tehran
Zhiwu Li
Zhiwu Li Macau University of Science and Technology
Syed Mithun Ali
Syed Mithun Ali Bangladesh University of Engineering and Technology
Seyedali Mirjalili
Seyedali Mirjalili Torrens University Australia
Sanjoy Paul
Sanjoy Paul University of Technology Sydney
Kuan Yew Wong
Kuan Yew Wong University of Technology Malaysia
Behrooz Karimi
Behrooz Karimi Amirkabir University of Technology
Srithar Rajoo
Srithar Rajoo University of Technology Malaysia

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Best Scientists Citing Amir Mohammad Fathollahi-Fard