World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
7331
World Ranking
6541
National Ranking
93

Maghsoud Amiri 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 Maghsoud Amiri 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: 170 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Maghsoud Amiri 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 Maghsoud Amiri 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: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Maghsoud Amiri is affiliated with Allameh Tabataba'i University in Iran. Their research focuses primarily on business, management, and accounting, with substantial work in engineering and decision sciences. Amiri's contributions span multiple subfields including management science and operations research, strategy and management, industrial and manufacturing engineering, management information systems, and control and systems engineering.

The scientist's main topics of study encompass sustainable supply chain management, multi-criteria decision making, supply chain and inventory management, supply chain resilience and risk management, optimization and mathematical programming, efficiency analysis using DEA, and advanced manufacturing and logistics optimization.

Amiri's recent publications demonstrate a focus on supply chain evaluation methods and fuzzy decision-making approaches. Notable papers include:

  • "Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)" (2021), published in Symmetry
  • "A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation" (2020), published in Mathematics
  • "A new fuzzy BWM approach for evaluating and selecting a sustainable supplier in supply chain management" (2020), published in International Journal of Sustainable Development & World Ecology
  • "A novel group BWM approach to evaluate the implementation criteria of blockchain technology in the automotive industry supply chain" (2022), published in Expert Systems with Applications
  • "A new fuzzy approach based on BWM and fuzzy preference programming for hospital performance evaluation: A case study" (2020), published in Applied Soft Computing

Frequent co-authors working with Amiri include:

  • Seyyed Jalaladdin Hosseini Dehshiri
  • Mehdi Keshavarz-Ghorabaee
  • Mohammad Hashemi-Tabatabaei
  • Mohammad Taghi Taghavifard
  • Edmundas Kazimieras Zavadskas

Amiri regularly publishes in various journals. The most frequent publication venues are:

  • SSRN Electronic Journal
  • Expert Systems with Applications
  • Energy
  • Computers & Industrial Engineering
  • International Journal of Advanced Operations Management

The research covers a range of applied methodologies, particularly focusing on multi-criteria decision making and sustainable supplier evaluation using fuzzy logic and other advanced computational methods. The application domains include supply chains in automotive industries, green construction, and hospital performance evaluation, reflecting a diverse scope within operational and decision sciences.

Best Publications

  • Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)

    Mehdi Keshavarz-Ghorabaee;Maghsoud Amiri;Edmundas Kazimieras Zavadskas;Zenonas Turskis

  • Extended EDAS Method for Fuzzy Multi-criteria Decision-making: An Application to Supplier Selection

    Mehdi Keshavarz Ghorabaee;Edmundas Kazimieras Zavadskas;Maghsoud Amiri;Zenonas Turskis

  • Flexible job-shop scheduling with parallel variable neighborhood search algorithm

    M. Yazdani;M. Amiri;M. Zandieh

  • Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets

    Mehdi Keshavarz Ghorabaee;Edmundas Kazimieras Zavadskas;Maghsoud Amiri;Ahmad Esmaeili

  • Multi-objective scheduling of dynamic job shop using variable neighborhood search

    M. A. Adibi;M. Zandieh;M. Amiri

  • Fuzzy extension of the CODAS method for multi-criteria market segment evaluation

    Mehdi Keshavarz Ghorabaee;Maghsoud Amiri;Edmundas Kazimieras Zavadskas;Reyhaneh Hooshmand

  • A new multi-criteria model based on interval type-2 fuzzy sets and EDAS method for supplier evaluation and order allocation with environmental considerations

    Mehdi Keshavarz Ghorabaee;Maghsoud Amiri;Edmundas Kazimieras Zavadskas;Zenonas Turskis

  • A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations

    Mehdi Keshavarz Ghorabaee;Maghsoud Amiri;Edmundas Kazimieras Zavadskas;Jurgita Antucheviciene

  • Assessment of third-party logistics providers using a CRITIC–WASPAS approach with interval type-2 fuzzy sets

    Mehdi Keshavarz Ghorabaee;Maghsoud Amiri;Edmundas Kazimieras Zavadskas;Jurgita Antuchevičienė

  • Extension of VIKOR method based on interval-valued fuzzy sets

    Behnam Vahdani;Hasan Hadipour;Jamshid Salehi Sadaghiani;Maghsoud Amiri

  • A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation

    Mehdi Keshavarz-Ghorabaee;Maghsoud Amiri;Mohammad Hashemi-Tabatabaei;Edmundas Kazimieras Zavadskas

  • Supplier evaluation and selection in fuzzy environments: a review of MADM approaches

    Mehdi Keshavarz Ghorabaee;Maghsoud Amiri;Edmundas Kazimieras Zavadskas;Jurgita Antucheviciene

  • Multiple criteria group decision-making for supplier selection based on COPRAS method with interval type-2 fuzzy sets

    Mehdi Keshavarz Ghorabaee;Maghsoud Amiri;Jamshid Salehi Sadaghiani;Golnoosh Hassani Goodarzi

  • Simultaneous Evaluation of Criteria and Alternatives (SECA) for Multi-Criteria Decision-Making

    Mehdi Keshavarz-Ghorabaee;Maghsoud Amiri;Edmundas Kazimieras Zavadskas;Zenonas Turskis

  • Stochastic EDAS method for multi-criteria decision-making with normally distributed data

    Mehdi Keshavarz Ghorabaee;Maghsoud Amiri;Edmundas Kazimieras Zavadskas;Zenonas Turskis

  • A dynamic network efficiency measurement of airports performance considering sustainable development concept: A fuzzy dynamic network-DEA approach

    Laya Olfat;Maghsoud Amiri;Jahanyar Bamdad Soufi;Mahsa Pishdar

  • A new fuzzy BWM approach for evaluating and selecting a sustainable supplier in supply chain management

    M. Amiri;M. Hashemi-Tabatabaei;M. Ghahremanloo;M. Keshavarz-Ghorabaee

  • A variable neighbourhood search algorithm for the flexible job-shop scheduling problem

    M. Amiri;M. Zandieh;M. Yazdani;A. Bagheri

  • Buffer allocation in unreliable production lines based on design of experiments, simulation, and genetic algorithm

    Maghsoud Amiri;Ali Mohtashami

  • A system dynamics modeling approach for a multi-level, multi-product, multi-region supply chain under demand uncertainty

    Rafi Rahanandeh Poor Langroodi;Maghsoud Amiri

  • Solving binary-state multi-objective reliability redundancy allocation series-parallel problem using efficient epsilon-constraint, multi-start partial bound enumeration algorithm, and DEA

    Kaveh Khalili Damghani;Maghsoud Amiri

Frequent Co-Authors

Edmundas Kazimieras Zavadskas
Edmundas Kazimieras Zavadskas Vilnius Gediminas Technical University
Jurgita Antucheviciene
Jurgita Antucheviciene Vilnius Gediminas Technical University
Zenonas Turskis
Zenonas Turskis Vilnius Gediminas Technical University
Mostafa Zandieh
Mostafa Zandieh Shahid Beheshti University
Behnam Vahdani
Behnam Vahdani University of Tehran
Seyed Meysam Mousavi
Seyed Meysam Mousavi Shahed University
Madjid Tavana
Madjid Tavana La Salle University
Mohammad A. Khalilzadeh
Mohammad A. Khalilzadeh Islamic Azad University, Tehran
Reza Tavakkoli-Moghaddam
Reza Tavakkoli-Moghaddam University of Tehran
Arturas Kaklauskas
Arturas Kaklauskas Vilnius Gediminas Technical University

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