World's Best Scientists 2026 revealed!
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Engineering and Technology
USA
2026

D-Index & Metrics

Engineering and Technology

D-Index
98
Citations
33932
World Ranking
164
National Ranking
60

Andrew Kusiak 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 Andrew Kusiak 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: 430 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Andrew Kusiak 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 Andrew Kusiak 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: 98 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award

Overview

Andrew Kusiak is affiliated with the University of Iowa in the United States and has contributed extensively to the field of engineering, with a particular focus on industrial and manufacturing engineering. Their research spans multiple subfields, including control and systems engineering, artificial intelligence, mechanical engineering, and strategy and management.

Their work covers a range of topics, prominently featuring digital transformation in industry, machine fault diagnosis techniques, and manufacturing process and optimization. Additional areas of focus include flexible and reconfigurable manufacturing systems, fault detection and control systems, machine learning and extreme learning machines (ELM), as well as supply chain resilience and risk management.

Among their recent papers are:

  • "Diagnosis of wind turbine faults with transfer learning algorithms" (2020, Renewable Energy)
  • "Open manufacturing: a design-for-resilience approach" (2020, International Journal of Production Research)
  • "Impact of COVID-19 on Manufacturing and Supply Networks - The Case for AI-Inspired Digital Transformation" (2020, SSRN Electronic Journal)
  • "Probabilistic load forecasting with a non-crossing sparse-group Lasso-quantile regression deep neural network" (2021, Energy)
  • "Service manufacturing = Process-as-a-Service + Manufacturing Operations-as-a-Service" (2020, Journal of Intelligent Manufacturing)

Frequent coauthors with whom Andrew Kusiak has collaborated include:

  • Weiming Shen
  • Liang Gao
  • Guokai Liu
  • Yingjun Shen
  • Zhe Song

Main venues for publication feature a concentration in journals linked to industrial production and manufacturing research:

  • International Journal of Production Research
  • Journal of Intelligent Manufacturing
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Journal of Manufacturing Systems

Andrew Kusiak's research embodies an interdisciplinary approach within engineering, combining elements of artificial intelligence with manufacturing systems and process optimization. The body of work reflects an engagement with contemporary challenges in industry, including resilience, digital transformation, and advanced fault diagnosis methodologies.

Best Publications

  • Data-driven smart manufacturing

    Fei Tao;Qinglin Qi;Ang Liu;Andrew Kusiak

  • Smart manufacturing

    Unknown

  • The facility layout problem

    Andrew Kusiak;Sunderesh S. Heragu

  • The generalized group technology concept

    Andrew Kusiak

  • Intelligent Manufacturing Systems

    Andrew Kusiak;David Dornfeld

  • Data Mining in Manufacturing: A Review

    J. A. Harding;M. Shahbaz;Srinivas;A. Kusiak

  • Design of wind farm layout for maximum wind energy capture

    Andrew Kusiak;Zhe Song

  • Modularity in design of products and systems

    Chun-Che Huang;A. Kusiak

  • Efficient solving of the group technology problem

    Andrew Kusiak;Wing S. Chow

  • The prediction and diagnosis of wind turbine faults

    Andrew Kusiak;Wenyan Li

  • Smart manufacturing must embrace big data

    Andrew Kusiak

  • Machine Layout Problem in Flexible Manufacturing Systems

    Sunderesh S. Heragu;Andrew Kusiak

  • Efficient models for the facility layout problem

    Sunderesh S. Heragu;Andrew Kusiak

  • Short-Term Prediction of Wind Farm Power: A Data Mining Approach

    A. Kusiak;Haiyang Zheng;Zhe Song

  • Concurrent Engineering: Automation, Tools, and Techniques

    Andrew Kusiak

  • Grouping of parts and components in flexible manufacturing systems

    K. Ravi Kumar;Andrew Kusiak;Anthony Vannelli

  • Artificial-Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges

    Jiafu Wan;Xiaomin Li;Hong-Ning Dai;Andrew Kusiak

  • Modeling and optimization of HVAC energy consumption

    Andrew Kusiak;Mingyang Li;Fan Tang

  • Decomposition of the Design Process

    A. Kusiak;J. Wang

  • Development of modular products

    A. Kusiak;Chun-Che Huang

  • Computational Intelligence in Design and Manufacturing

    Andrew Kusiak

  • Group technology

    Andrew Kusiak;Sunderesh S. Heragu

Frequent Co-Authors

Zijun Zhang
Zijun Zhang City University of Hong Kong
David He
David He University of Illinois at Chicago
Sunderesh S. Heragu
Sunderesh S. Heragu Oklahoma State University
Chanan Singh
Chanan Singh Texas A&M University
Hervé Panetto
Hervé Panetto University of Lorraine
Sridhar Tayur
Sridhar Tayur Carnegie Mellon University
Marian Muste
Marian Muste University of Iowa
Jerald L. Schnoor
Jerald L. Schnoor University of Iowa
Fei Tao
Fei Tao Beihang University
Tai-hoon Kim
Tai-hoon Kim Beijing Jiaotong University

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