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Engineering and Technology
USA
2025

D-Index & Metrics

Engineering and Technology

D-Index
88
Citations
29223
World Ranking
318
National Ranking
109

Sankaran Mahadevan 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 Sankaran Mahadevan 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: 644 publications — 98th percentile

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

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

Sankaran Mahadevan 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 Sankaran Mahadevan 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: 88 D-Index — 97th percentile

97% 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

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

Overview

Sankaran Mahadevan is affiliated with Vanderbilt University in the United States. Their research work spans primarily the field of engineering with a significant focus on statistics, probability, and uncertainty. This includes substantial contributions to electrical and electronic engineering, mechanical engineering, industrial and manufacturing engineering, and safety, risk, reliability, and quality.

Their research topics cover a variety of specialized areas such as probabilistic and robust engineering design, manufacturing process and optimization, and advanced multi-objective optimization algorithms. They also study additive manufacturing and 3D printing technologies, including materials and processes related to additive manufacturing. Additional topics include model reduction and neural networks as well as power system reliability and maintenance.

Mahadevan has published frequently in several notable venues. These include:

  • Reliability Engineering & System Safety
  • Structural and Multidisciplinary Optimization
  • arXiv (Cornell University)
  • AIAA Journal
  • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering

Some recent papers published by Mahadevan are:

  • "Digital Twin: Generalization, characterization and implementation" (2021), Decision Support Systems
  • "A comprehensive review of digital twin-part 1: modeling and twinning enabling technologies" (2022), Structural and Multidisciplinary Optimization
  • "Bayesian network modeling of accident investigation reports for aviation safety assessment" (2020), Reliability Engineering & System Safety
  • "Bayesian neural networks for flight trajectory prediction and safety assessment" (2020), Decision Support Systems
  • "A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives" (2022), Structural and Multidisciplinary Optimization

Frequent coauthors in Mahadevan's collaborations include:

  • Pranav Karve
  • Xiaoge Zhang
  • Paromita Nath
  • Abhinav Subramanian
  • Berkcan Kapusuzoglu

Best Publications

  • Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions

    B. J. Bichon;M. S. Eldred;L. P. Swiler;S. Mahadevan

  • Reliability Assessment Using Stochastic Finite Element Analysis

    Achintya Haldar;Sankaran Mahadevan

  • Digital Twin: Generalization, characterization and implementation

    Eric VanDerHorn;Eric VanDerHorn;Sankaran Mahadevan

  • An improved method to construct basic probability assignment based on the confusion matrix for classification problem

    Xinyang Deng;Qi Liu;Yong Deng;Sankaran Mahadevan

  • Supplier selection using AHP methodology extended by D numbers

    Xinyang Deng;Yong Hu;Yong Deng;Yong Deng;Sankaran Mahadevan

  • Short communication: Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment

    Yong Deng;Yuxin Chen;Yajuan Zhang;Sankaran Mahadevan

  • Fatigue damage modelling of composite materials

    H Mao;S Mahadevan

  • Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin

    Chenzhao Li;Sankaran Mahadevan;You Ling;Sergio Choze

  • A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies

    Unknown

  • Probabilistic fatigue life prediction using an equivalent initial flaw size distribution

    Yongming Liu;Sankaran Mahadevan

  • Bayesian networks for system reliability reassessment

    Sankaran Mahadevan;Ruoxue Zhang;Natasha Smith

  • Chloride-induced reinforcement corrosion and concrete cracking simulation

    Dong Chen;Sankaran Mahadevan

  • A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis

    Zhen Hu;Sankaran Mahadevan

  • Efficient surrogate models for reliability analysis of systems with multiple failure modes

    Barron J. Bichon;John M. McFarland;Sankaran Mahadevan

  • Model uncertainty and Bayesian updating in reliability-based inspection

    Ruoxue Zhang;Sankaran Mahadevan

  • Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty

    Shun-Peng Zhu;Hong-Zhong Huang;Weiwen Peng;Hai-Kun Wang

  • Multiaxial high-cycle fatigue criterion and life prediction for metals

    Yongming Liu;Sankaran Mahadevan

  • Validation of reliability computational models using Bayes networks

    Sankaran Mahadevan;Ramesh Rebba

  • Numerical simulation of cementitious materials degradation under external sulfate attack

    S. Sarkar;S. Mahadevan;J.C.L. Meeussen;H. van der Sloot

  • Uncertainty quantification and model validation of fatigue crack growth prediction

    Shankar Sankararaman;You Ling;Sankaran Mahadevan

  • Identifying influential nodes in weighted networks based on evidence theory

    Daijun Wei;Daijun Wei;Xinyang Deng;Xiaoge Zhang;Yong Deng;Yong Deng

  • A direct decoupling approach for efficient reliability-based design optimization

    T. Zou;S. Mahadevan

Frequent Co-Authors

Yong Deng
Yong Deng University of Electronic Science and Technology of China
Yongming Liu
Yongming Liu Arizona State University
Felix T.S. Chan
Felix T.S. Chan Macau University of Science and Technology
Vivek Agarwal
Vivek Agarwal Indian Institute of Technology Bombay
Xinyang Deng
Xinyang Deng Northwestern Polytechnical University
Andrew Adamatzky
Andrew Adamatzky University of the West of England
David S. Kosson
David S. Kosson Vanderbilt University
Gautam Biswas
Gautam Biswas Vanderbilt University
Rehan Sadiq
Rehan Sadiq University of British Columbia
Douglas E. Adams
Douglas E. Adams Vanderbilt University

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