World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
5480
World Ranking
5963
National Ranking
238

Viliam Makis 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 Viliam Makis 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: 129 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Viliam Makis 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 Viliam Makis 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: 44 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Viliam Makis is affiliated with the University of Toronto in Canada, focusing research in the field of engineering. Their work encompasses several subfields including ocean engineering, safety, risk, reliability and quality, software, and statistics and probability.

Their research interests cover a range of topics such as reliability and maintenance optimization, drilling and well engineering, software reliability and analysis research, statistical distribution estimation and applications, risk and safety analysis, quality and safety in healthcare, and reservoir engineering and simulation methods.

Makis has contributed to multiple peer-reviewed publications, with recent papers including:

  • Optimal condition-based maintenance with general repair and two dependent failure modes, 2020, Computers & Industrial Engineering
  • Application of Markov renewal theory and semi-Markov decision processes in maintenance modeling and optimization of multi-unit systems, 2020, Naval Research Logistics (NRL)
  • Bayesian change point prediction for downhole drilling pressures with hidden Markov models, 2023, Applied Stochastic Models in Business and Industry
  • Improved abnormal formation pressure detection from drilling performance data in a partially observable setting, 2021, Journal of Petroleum Science and Engineering
  • Gearbox Oil Analysis and Failure Prediction based on Hidden Semi-Markov Model, 2020, Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference

Frequent coauthors who have collaborated with Makis include Ochuko Erivwo, Rui Zheng, Nooshin Salari, Roy H. Kwon, and Marcos Kaspchak Machado. Their work has appeared in several publication venues such as Computers & Industrial Engineering, Naval Research Logistics (NRL), Applied Stochastic Models in Business and Industry, Journal of Petroleum Science and Engineering, and the Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference.

Best Publications

  • Optimal Replacement In The Proportional Hazards Model

    Viliam Makis;Andrew K.S. Jardine

  • A Control-Limit Policy And Software For Condition-Based Maintenance Optimization

    D. Banjevic;A.K.S. Jardine;V. Makis;M. Ennis

  • Optimal component replacement decisions using vibration monitoring and the proportional-hazards model

    P. J. Vlok;J. L. Coetzee;Dragan Banjevic;Andrew K. S. Jardine

  • Condition monitoring and classification of rotating machinery using wavelets and hidden Markov models

    Qiang Miao;Viliam Makis

  • A wavelet approach to fault diagnosis of a gearbox under varying load conditions

    Xiyang Wang;Viliam Makis;Ming Yang

  • Adaptive state detection of gearboxes under varying load conditions based on parametric modelling

    Yimin Zhan;Viliam Makis;Andrew K.S. Jardine

  • Autoregressive model-based gear shaft fault diagnosis using the Kolmogorov–Smirnov test

    Xiyang Wang;Viliam Makis

  • Multivariate Bayesian control chart

    Viliam Makis

  • An EMQ model with inspections and random machine failures

    Viliam Makis;James Fung

  • Optimal replacement policy and the structure of software for condition‐based maintenance

    A.K.S. Jardine;D. Banjevic;V. Makis

  • Optimal replacement under partial observations

    V. Makis;X. Jiang

  • ARX model-based gearbox fault detection and localization under varying load conditions

    Ming Yang;Viliam Makis

  • Joint optimization of sampling and control of partially observable failing systems

    Michael Jong Kim;Viliam Makis

  • A note on optimal replacement policy under general repair

    Viliam Makis;Andrew K.S. Jardine

  • Optimal lot sizing and inspection policy for an EMQ model with imperfect inspections

    Viliam Makis

  • Optimal Bayesian fault prediction scheme for a partially observable system subject to random failure

    Michael Jong Kim;Rui Jiang;Viliam Makis;Chi-Guhn Lee

  • Optimal Replacement Policy for a General Model with Imperfect Repair

    Viliam Makis;Andrew K. S. Jardine

  • An optimal condition-based maintenance policy for a degrading system subject to the competing risks of soft and hard failure

    Diyin Tang;Jinsong Yu;Xiongzi Chen;Viliam Makis

  • Optimal maintenance policy for a multi-state deteriorating system with two types of failures under general repair

    Michael Jong Kim;Viliam Makis

  • An application of DPCA to oil data for CBM modeling

    Viliam Makis;Jianmou Wu;Yan Gao

  • Recursive filters for a partially observable system subject to random failure

    Daming Lin;Viliam Makis

Frequent Co-Authors

Andrew K.S. Jardine
Andrew K.S. Jardine University of Toronto
Ming Zhao
Ming Zhao Xi'an Jiaotong University
Jing Lin
Jing Lin Beihang University
Yan Wang
Yan Wang Macquarie University
Wenli Du
Wenli Du East China University of Science and Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Viliam Makis

Trending Scientists

Recently Published Articles