World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
7471
World Ranking
5201
National Ranking
344

Darek Ceglarek 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 Darek Ceglarek 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: 188 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Darek Ceglarek 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 Darek Ceglarek 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: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Darek Ceglarek is affiliated with the University of Warwick in the United Kingdom and has an extensive research presence primarily in the field of Engineering. Their work spans over 170 publications with a particular focus on Mechanical Engineering, Industrial and Manufacturing Engineering, Computational Mechanics, Aerospace Engineering, and Control and Systems Engineering.

The scientist's research topics cover a broad range of specialized areas related to manufacturing and robotics. Among the main topics are:

  • Welding Techniques and Residual Stresses
  • Advanced Welding Techniques Analysis
  • Manufacturing Process and Optimization
  • Aluminum Alloy Microstructure Properties
  • Additive Manufacturing Materials and Processes
  • Prosthetics and Rehabilitation Robotics
  • Industrial Vision Systems and Defect Detection

Frequent coauthors in their research include Pasquale Franciosa, Tianzhu Sun, Sharhid Jabar, Hiren R. Kotadia, and Giovanni Chianese, indicating ongoing collaborations in various projects and publications.

They have contributed to several scientific venues, with the most frequent publication outlets being Procedia CIRP, Journal of Laser Applications, Zenodo (CERN European Organization for Nuclear Research), Journal of Materials Research and Technology, and arXiv (Cornell University).

Recent papers authored or coauthored by the scientist include:

  • Robust fault tolerant control of robot manipulators with global fixed-time convergence, 2020, Journal of the Franklin Institute
  • Deep learning enhanced digital twin for Closed-Loop In-Process quality improvement, 2020, CIRP Annals
  • Effects of the adjustable ring-mode laser on intermetallic formation and mechanical properties of steel to aluminium laser welded lap joints, 2023, Materials & Design
  • Adaptive Fuzzy Fault Tolerant Control for Robot Manipulators With Fixed-Time Convergence, 2023, IEEE Transactions on Fuzzy Systems
  • Challenges and opportunities in laser welding of 6xxx high strength aluminium extrusions in automotive battery tray construction, 2020, Procedia CIRP

Best Publications

  • Design verification and validation in product lifecycle

    P. G. Maropoulos;Darek Ceglarek

  • Fixture Failure Diagnosis for Autobody Assembly Using Pattern Recognition

    Darek Ceglarek;J. Shi

  • Modeling Variation Propagation of Multi-Station Assembly Systems With Compliant Parts

    Jaime A. Camelio;S. Jack Hu;Dariusz J. Ceglarek

  • Fault Diagnosis of Multistage Manufacturing Processes by Using State Space Approach

    Yu Ding;Dariusz Ceglarek;Jianjun Shi

  • Dimensional variation reduction for automotive body assembly

    Darek Ceglarek;J. Shi

  • Diagnosability Analysis of Multi-Station Manufacturing Processes

    Yu Ding;Jianjun Shi;Dariusz Ceglarek

  • Time-Based Competition in Multistage Manufacturing: Stream-of-Variation Analysis (SOVA) Methodology—Review

    Darek Ceglarek;W. Huang;S. Zhou;Y. Ding

  • Impact of fixture design on sheet metal assembly variation

    Jaime A. Camelio;S. Jack Hu;Dariusz Ceglarek

  • A Knowledge-Based Diagnostic Approach for the Launch of the Auto-Body Assembly Process

    Darek Ceglarek;J. Shi;S. M. Wu

  • Optimal sensor distribution for variation diagnosis in multistation assembly processes

    Yu Ding;Pansoo Kim;D. Ceglarek;Jionghua Jin

  • Comparative Analysis of Tooth-Root Strength Using ISO and AGMA Standards in Spur and Helical Gears With FEM-based Verification

    Unknown

  • Stream-of-Variation (SOVA) Modeling II: A Generic 3D Variation Model for Rigid Body Assembly in Multistation Assembly Processes

    Wenzhen Huang;Jijun Lin;Zhenyu Kong;Dariusz Ceglarek

  • Process-oriented tolerancing for multi-station assembly systems

    Yu Ding;Jionghua Jin;Dariusz Ceglarek;Jianjun Shi

  • Mode-based Decomposition of Part Form Error by Discrete-Cosine-Transform with Implementation to Assembly and Stamping System with Compliant Parts

    Unknown

  • Dimensional fault diagnosis for compliant beam structure assemblies

    Q. Rong;Darek Ceglarek;J. Shi

  • Deep learning enhanced digital twin for Closed-Loop In-Process quality improvement

    Unknown

  • Kinematic Analysis of Dimensional Variation Propagation for Multistage Machining Processes With General Fixture Layouts

    J.-P. Loose;Shiyu Zhou;D. Ceglarek

  • Design Evaluation of Sheet Metal Joints for Dimensional Integrity

    Darek Ceglarek;J. Shi

  • Stream-of-Variation Modeling—Part I: A Generic Three-Dimensional Variation Model for Rigid-Body Assembly in Single Station Assembly Processes

    Wenzhen Huang;Jijun Lin;Michelle Bezdecny;Zhenyu Kong

  • Design Evaluation of Multi-Station Assembly Processes by Using State Space Approach

    Yu Ding;Dariusz Ceglarek;Jianjun Shi

  • Sensor optimization for fault diagnosis in single fixture systems : A methodology

    A. Khan;Darek Ceglarek;J. Shi;J. Ni

  • Sensor Optimization for Fault Diagnosis in Multi-Fixture Assembly Systems With Distributed Sensing

    A. Khan;Darek Ceglarek

  • Genetic-algorithms-based algorithm portfolio for inventory routing problem with stochastic demand

    Nagesh Shukla;M.K. Tiwari;Darek Ceglarek

  • Sensor location optimization for fault diagnosis in multi-fixture assembly systems

    A. Khan;Darek Ceglarek;J. Ni

  • Tolerance allocation for compliant beam structure assemblies

    B.W. Shiu;D.W Apley;Darek Ceglarek;J. Shi

Frequent Co-Authors

Jianjun Shi
Jianjun Shi Georgia Institute of Technology
Manoj Kumar Tiwari
Manoj Kumar Tiwari Indian Institute of Technology Kharagpur
Yu Ding
Yu Ding Georgia Institute of Technology
Shiyu Zhou
Shiyu Zhou University of Wisconsin–Madison
Constantin Zopounidis
Constantin Zopounidis Technical University of Crete
Diganta Bhusan Das
Diganta Bhusan Das Loughborough University
Evor L. Hines
Evor L. Hines University of Warwick
Xin-She Yang
Xin-She Yang Middlesex University
Dongsheng Wen
Dongsheng Wen Technical University of Munich
Alexander M. Korsunsky
Alexander M. Korsunsky University of Oxford

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