World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
51
Citations
9177
World Ranking
3896
National Ranking
88

Ilkyeong Moon 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 Ilkyeong Moon 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: 192 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Ilkyeong Moon 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 Ilkyeong Moon 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: 51 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Ilkyeong Moon is affiliated with Seoul National University in South Korea and has established a substantial body of research primarily within the fields of Engineering and Business, Management and Accounting. Their work spans a range of subfields, including Industrial and Manufacturing Engineering, Automotive Engineering, Strategy and Management, Management Information Systems, and Building and Construction.

Their research addresses several main topics, notably:

  • Vehicle Routing Optimization Methods
  • Transportation and Mobility Innovations
  • Supply Chain and Inventory Management
  • Sustainable Supply Chain Management
  • Facility Location and Emergency Management
  • Urban and Freight Transport Logistics
  • Smart Parking Systems Research

Ilkyeong Moon has published in several frequent venues, reflecting the interdisciplinary nature of their work, including:

  • Transportation Research Part E Logistics and Transportation Review
  • Computers & Industrial Engineering
  • International Journal of Production Research
  • International Transactions in Operational Research
  • Transportmetrica A Transport Science

Recent papers authored or co-authored by Ilkyeong Moon demonstrate ongoing engagement with current industrial and environmental challenges. Notable publications include:

  • Effects of variable setup cost, reliability, and production costs under controlled carbon emissions in a reliable production system (2022, European J of Industrial Engineering)

Other high-impact work relevant to related research areas includes:

  • Multi-agent deep reinforcement learning approach for EV charging scheduling in a smart grid (2022, Applied Energy)
  • IoT-based smart bin allocation and vehicle routing in solid waste management: A case study in South Korea (2022, Computers & Industrial Engineering)
  • Carbon emission controlled investment and warranty policy based production inventory model via meta-heuristic algorithms (2023, Computers & Industrial Engineering)
  • A game theoretic approach for analyzing electric and gasoline-based vehicles' competition in a supply chain under government sustainable strategies: A case study of South Korea (2021, Renewable and Sustainable Energy Reviews)

Collaborations are frequent with several co-authors, including:

  • Young-Bin Woo
  • Junhyeok Lee
  • Morteza Rasti−Barzoki
  • Gwang Kim
  • Junseok Park

Best Publications

  • The Distribution Free Newsboy Problem: Review and Extensions

    Guillermo Gallego;Ilkyeong Moon

  • Traveling Salesman Problem With a Drone Station

    Sungwoo Kim;Ilkyeong Moon

  • A note on lead time and distributional assumptions in continuous review inventory models

    Ilkyeong Moon;Sangjin Choi

  • Economic order quantity models for ameliorating/deteriorating items under inflation and time discounting

    Ilkyeong Moon;Bibhas Chandra Giri;Byungsung Ko

  • Analytic hierarchy process to assess and optimize distribution network

    Mithun J. Sharma;Ilkyeong Moon;Hyerim Bae

  • An EPQ model with inflation in an imperfect production system

    Biswajit Sarkar;Ilkyeong Moon

  • Dual channel closed-loop supply chain coordination with a reward-driven remanufacturing policy

    S. Saha;S.P. Sarmah;Ilkyeong Moon

  • Pricing, product quality, and collection optimization in a decentralized closed-loop supply chain with different channel structures: Game theoretical approach

    Ata Allah Taleizadeh;Mohammad Sadegh Moshtagh;Ilkyeong Moon

  • Distribution Free Procedures for Some Inventory Models

    Ilkyeong Moon;Guillermo Gallego

  • How to avoid stockouts when producing several items on a single facility? What to do if you can't?

    Guillermo Gallego;Ilkyeong Moon

  • The multi-item newsvendor problem with a budget constraint and fixed ordering costs

    Ilkyeong Moon;Edward A. Silver

  • A reactive tabu search algorithm for the multi-depot container truck transportation problem

    Ruiyou Zhang;Won Young Yun;Ilkyeong Moon

  • The Distribution Free Newsboy Problem with Balking

    Ilkyeong Moon;Sangjin Choi

  • Improved quality, setup cost reduction, and variable backorder costs in an imperfect production process

    Biswajit Sarkar;Biswajit Sarkar;Ilkyeong Moon

  • Multi-agent deep reinforcement learning approach for EV charging scheduling in a smart grid

    Unknown

  • Hybrid genetic algorithm for the economic lot-scheduling problem

    I. Moon;E. A. Silver;S. Choi

  • The effects of inflation and time-value of money on an economic order quantity model with a random product life cycle

    Ilkyeong Moon;Suyeon Lee

  • Manufacturing setup cost reduction and quality improvement for the distribution free continuous-review inventory model with a service level constraint

    Biswajit Sarkar;Kripasindhu Chaudhuri;Ilkyeong Moon

  • Foldable and standard containers in empty container repositioning

    Ilkyeong Moon;Anh-Dung Do Ngoc;Rob Konings

  • The joint replenishment problem with resource restriction

    Il Kyeong Moon;B. C. Cha

  • Multi-depot vehicle routing problem with time windows considering delivery and installation vehicles

    Heechul Bae;Ilkyeong Moon

Frequent Co-Authors

Guillermo Gallego
Guillermo Gallego Chinese University of Hong Kong, Shenzhen
Edward A. Silver
Edward A. Silver University of Michigan–Ann Arbor
Biswajit Sarkar
Biswajit Sarkar Yonsei University
Dong-Wook Kim
Dong-Wook Kim Ewha Womans University
Ata Allah Taleizadeh
Ata Allah Taleizadeh University of Tehran
Dimitris Kiritsis
Dimitris Kiritsis École Polytechnique Fédérale de Lausanne
Kripasindhu Chaudhuri
Kripasindhu Chaudhuri Jadavpur University
Said Salhi
Said Salhi University of Kent
Suresh Kumar Goyal
Suresh Kumar Goyal Concordia University

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