World's Best Scientists 2026 revealed!
Tegoeh Tjahjowidodo

Tegoeh Tjahjowidodo

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
5249
World Ranking
8112
National Ranking
99

Tegoeh Tjahjowidodo 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 Tegoeh Tjahjowidodo 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: 161 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Tegoeh Tjahjowidodo 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 Tegoeh Tjahjowidodo 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: 38 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Tegoeh Tjahjowidodo is affiliated with KU Leuven in Belgium and has conducted extensive research in the field of engineering, with a primary focus on mechanical engineering and its subfields. Their work encompasses advanced machining processes, surface polishing techniques, and additive manufacturing technologies, reflecting expertise in both fundamental and applied aspects of these areas.

The scientist's research spans several specialized topics, including:

  • Advanced machining processes and optimization
  • Advanced Surface Polishing Techniques
  • Additive Manufacturing and 3D Printing Technologies
  • Additive Manufacturing Materials and Processes
  • Advanced Battery Technologies Research
  • Advanced Measurement and Metrology Techniques
  • Optical measurement and interference techniques

With over 85 publications primarily in engineering, Tegoeh Tjahjowidodo's subfield contributions further highlight interests in:

  • Mechanical Engineering
  • Automotive Engineering
  • Biomedical Engineering
  • Computational Mechanics
  • Electrical and Electronic Engineering

Their work has appeared frequently in journals such as:

  • SSRN Electronic Journal
  • Journal of Manufacturing Processes
  • Virtual and Physical Prototyping
  • Journal of Intelligent Manufacturing
  • AIP conference proceedings

Among their recent publications are the following papers that reflect ongoing interests in manufacturing process modeling, additive manufacturing, and surface quality control:

  • Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review (2020, Journal of Manufacturing Processes)
  • Improving surface finish quality in extrusion-based 3D concrete printing using machine learning-based extrudate geometry control (2020, Virtual and Physical Prototyping)
  • Variable-geometry nozzle for surface quality enhancement in 3D concrete printing (2020, Additive Manufacturing)
  • Machinability of wire and arc additive manufactured components (2021, CIRP Journal of Manufacturing Science and Technology)
  • Modelling of Material Removal in Abrasive Belt Grinding Process: A Regression Approach (2020, Symmetry)

Frequently collaborating co-authors include Cheng Fang, Abhay Sharma, Qing Yu, Wenjie Chen, and Kang Tai, indicating a collaborative research network that supports interdisciplinary advancement in manufacturing and engineering sciences.

Best Publications

  • A survey on hysteresis modeling, identification and control

    Vahid Hassani;Tegoeh Tjahjowidodo;Thanh Nho Do

  • A Review of Feature Extraction Methods in Vibration-Based Condition Monitoring and Its Application for Degradation Trend Estimation of Low-Speed Slew Bearing

    Wahyu Caesarendra;Tegoeh Tjahjowidodo

  • A New Approach to Modeling Hysteresis in a Pneumatic Artificial Muscle Using The Maxwell-Slip Model

    Tri Vo-Minh;Tegoeh Tjahjowidodo;Herman Ramon;Hendrik Van Brussel

  • In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm

    Vigneashwara Pandiyan;Wahyu Caesarendra;Tegoeh Tjahjowidodo;Hock Hao Tan

  • Identification of pre-sliding and sliding friction dynamics: Grey box and black-box models

    K Worden;C Wong;U Parlitz;A Hornstein

  • Hysteresis modeling and position control of tendon-sheath mechanism in flexible endoscopic systems

    T.N. Do;T. Tjahjowidodo;M.W.S. Lau;T. Yamamoto

  • Friction characterization and compensation in electro-mechanical systems

    Tegoeh Tjahjowidodo;Farid Al-Bender;Hendrik Van Brussel;Wim Symens

  • Cascade position control of a single pneumatic artificial muscle-mass system with hysteresis compensation

    Tri Vo Minh;Tegoeh Tjahjowidodo;Herman Ramon;Hendrik Van Brussel

  • Theoretical modelling and experimental identification of nonlinear torsional behaviour in harmonic drives

    Tegoeh. Tjahjowidodo;F. Al-Bender;H. Van Brussel

  • Nonlinear friction modelling and compensation control of hysteresis phenomena for a pair of tendon-sheath actuated surgical robots

    T.N. Do;T. Tjahjowidodo;M.W.S. Lau;S.J. Phee

  • Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review

    Vigneashwara Pandiyan;Vigneashwara Pandiyan;Sergey Shevchik;Kilian Wasmer;Sylvie Castagne

  • Identification of pre-sliding friction dynamics.

    U. Parlitz;A. Hornstein;D. Engster;F. Al-Bender

  • Improving surface finish quality in extrusion-based 3D concrete printing using machine learning-based extrudate geometry control

    Wenxin Lao;Mingyang Li;Teck Neng Wong;Ming Jen Tan

  • An investigation of friction-based tendon sheath model appropriate for control purposes

    T. N. Do;Tegoeh Tjahjowidodo;Michael Wai Shing Lau;Soo Jay Phee

  • A new approach of friction model for tendon-sheath actuated surgical systems: Nonlinear modelling and parameter identification

    T. N. Do;Tegoeh Tjahjowidodo;Michael Wai Shing Lau;Soo Jay Phee

  • In-process virtual verification of weld seam removal in robotic abrasive belt grinding process using deep learning

    Vigneashwara Pandiyan;Pushparaja Murugan;Tegoeh Tjahjowidodo;Wahyu Caesarendra;Wahyu Caesarendra

  • Adaptive control for enhancing tracking performances of flexible tendon–sheath mechanism in natural orifice transluminal endoscopic surgery (NOTES)

    T.N. Do;T. Tjahjowidodo;M.W.S. Lau;S.J. Phee

  • FRICTION IDENTIFICATION AND COMPENSATION IN A DC MOTOR

    T. Tjahjowidodo;F. Al-Bender;H. Van Brussel

  • Variable-geometry nozzle for surface quality enhancement in 3D concrete printing

    Wenxin Lao;Mingyang Li;Tegoeh Tjahjowidodo

  • Predictive Modelling and Analysis of Process Parameters on Material Removal Characteristics in Abrasive Belt Grinding Process

    Vigneashwara Pandiyan;Wahyu Caesarendra;Tegoeh Tjahjowidodo;Gunasekaran Praveen

  • Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis

    Wahyu Caesarendra;Mahardhika Pratama;Buyung Kosasih;Tegoeh Tjahjowidodo

Frequent Co-Authors

Soo Jay Phee
Soo Jay Phee Nanyang Technological University
Mahardhika Pratama
Mahardhika Pratama University of South Australia
Herman Ramon
Herman Ramon KU Leuven
Narasimalu Srikanth
Narasimalu Srikanth Nanyang Technological University
Zhaowei Zhong
Zhaowei Zhong Nanyang Technological University
Adam Glowacz
Adam Glowacz AGH University of Science and Technology
Spilios D. Fassois
Spilios D. Fassois University of Patras
Ulrich Parlitz
Ulrich Parlitz Max Planck Institute for Dynamics and Self-Organization

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