World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
60
Citations
14637
World Ranking
2167
National Ranking
687

Reha Uzsoy 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 Reha Uzsoy 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: 229 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Reha Uzsoy 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 Reha Uzsoy 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: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Overview

Reha Uzsoy is affiliated with North Carolina State University in the United States and focuses on research in engineering, particularly within industrial and manufacturing engineering. Their work spans various subfields, including management information systems, management science and operations research, economics and econometrics, and the management of technology and innovation.

Their research topics cover a diverse range of areas, notably:

  • Scheduling and Optimization Algorithms
  • Supply Chain and Inventory Management
  • Manufacturing Process and Optimization
  • Advanced Manufacturing and Logistics Optimization
  • Advanced Queuing Theory Analysis
  • Economic Theories and Models
  • Product Development and Customization

Uzsoy has contributed scholarly articles to several publication venues. The most frequent outlets include:

  • IEEE Transactions on Semiconductor Manufacturing
  • International Journal of Production Research
  • European Journal of Operational Research
  • 2022 Winter Simulation Conference (WSC)
  • arXiv (Cornell University)

Among recent papers authored or co-authored by Uzsoy are the following titles:

  • "A genetic algorithm for order acceptance and scheduling in additive manufacturing," 2021, International Journal of Production Research
  • "Order release in production planning and control systems: challenges and opportunities," 2021, International Journal of Production Research
  • "Integrated and hierarchical systems for coordinating order acceptance and release planning," 2022, European Journal of Operational Research
  • "Conic programming models for production planning with clearing functions: Formulations and duality," 2020, European Journal of Operational Research
  • "A Simple Model of Capacity Contention During New Product Introductions," 2020, IEEE Transactions on Semiconductor Manufacturing

Uzsoy frequently collaborates with other researchers in the field. Key co-authors include:

  • Karl G. Kempf
  • Osman Y. Özaltın
  • Edward Fitts
  • Hubert Missbauer
  • Foad Ghadimi

Best Publications

  • EXECUTING PRODUCTION SCHEDULES IN THE FACE OF UNCERTAINTIES: A REVIEW AND SOME FUTURE DIRECTIONS

    Haldun Aytug;Mark A. Lawley;Kenneth McKay;Shantha Mohan

  • A REVIEW OF PRODUCTION PLANNING AND SCHEDULING MODELS IN THE SEMICONDUCTOR INDUSTRY PART I: SYSTEM CHARACTERISTICS, PERFORMANCE EVALUATION AND PRODUCTION PLANNING

    Reha Uzsoy;Chung Yee Lee;Louis A. Martin-vega

  • Efficient algorithms for scheduling semiconductor burn-in operations

    Chung-Yee Lee;Reha Uzsoy;Louis A. Martin-Vega

  • A REVIEW OF PRODUCTION PLANNING AND SCHEDULING MODELS IN THE SEMICONDUCTOR INDUSTRY PART II: SHOP-FLOOR CONTROL

    Reha Uzsoy;Chung Yee Lee;Louis A. Martin-vega

  • Scheduling a single batch processing machine with non-identical job sizes

    R. Uzsoy

  • Experimental Evaluation of Heuristic Optimization Algorithms: A Tutorial

    Ronald L. Rardin;Reha Uzsoy

  • Analysis of periodic and event-driven rescheduling policies in dynamic shops

    Laura K. Church;Reha Uzsoy

  • Benchmarks for shop scheduling problems

    Ebru Demirkol;Sanjay Mehta;Reha Uzsoy

  • Minimizing makespan on a single batch processing machine with dynamic job arrivals

    Chung Yee Lee;Reha Uzsoy

  • Predictable scheduling of a job shop subject to breakdowns

    S.V. Mehta;R.M. Uzsoy

  • Decomposition Methods for Complex Factory Scheduling Problems

    Irfan M. Ovacik;Reha Uzsoy

  • Minimizing total completion time on batch processing machines

    Vijay Chandru;Chung Yee Lee;Reha M. Uzsoy

  • Scheduling batch processing machines with incompatible job families

    R. Uzsoy

  • Outbound supply chain network design with mode selection, lead times and capacitated vehicle distribution centers

    Erdem Eskigun;Reha Uzsoy;Paul V. Preckel;George Beaujon

  • Minimizing total tardiness on a batch processing machine with incompatible job families

    Sanjay V. Mehta;Reha Uzsoy

  • Rolling horizon algorithms for a single-machine dynamic scheduling problem with sequence-dependent setup times

    I. M. Ovacikt;R. Uzsoy

  • Rapid Modeling and Discovery of Priority Dispatching Rules: An Autonomous Learning Approach

    Christopher D. Geiger;Reha Uzsoy;Haldun Aytug

  • A genetic algorithm to minimize maximum lateness on a batch processing machine

    Cheng-Shuo Wang;Reha Uzsoy

  • A genetic algorithm for minimizing maximum lateness on parallel identical batch processing machines with dynamic job arrivals and incompatible job families

    Sujay Malve;Reha Uzsoy

  • Tractable nonlinear production planning models for semiconductor wafer fabrication facilities

    J. Asmundsson;R.L. Rardin;R. Uzsoy

  • Predictable scheduling of a single machine with breakdowns and sensitive jobs

    Ronan O'Donovan;Reha Uzsoy;Kenneth N. McKay

Frequent Co-Authors

Chung Yee Lee
Chung Yee Lee Hong Kong University of Science and Technology
Lars Mönch
Lars Mönch University of Hagen
John W. Fowler
John W. Fowler Arizona State University
Paul V. Preckel
Paul V. Preckel Purdue University West Lafayette
Arif Ghafoor
Arif Ghafoor Purdue University West Lafayette
Joseph F. Pekny
Joseph F. Pekny Purdue University West Lafayette
Chen-Fu Chien
Chen-Fu Chien National Tsing Hua University
Mark Lawley
Mark Lawley Texas A&M University
Pinar Keskinocak
Pinar Keskinocak Georgia Institute of Technology
Stéphane Dauzère-Pérès
Stéphane Dauzère-Pérès École des Mines de Saint-Étienne

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