World's Best Scientists 2026 revealed!
Constantinos C. Pantelides

Constantinos C. Pantelides

D-Index & Metrics

Engineering and Technology

D-Index
53
Citations
12832
World Ranking
3342
National Ranking
219

Constantinos C. Pantelides 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 Constantinos C. Pantelides 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: 128 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.

Constantinos C. Pantelides 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 Constantinos C. Pantelides 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: 53 D-Index — 66th percentile

66% 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

  • 2010 - Fellow of the Royal Academy of Engineering (UK)

Overview

Constantinos C. Pantelides is affiliated with Imperial College London in the United Kingdom. Their research spans the fields of Engineering and Materials Science, with significant contributions to subfields including Materials Chemistry, Control and Systems Engineering, Physical and Theoretical Chemistry, Computational Theory and Mathematics, and Management Science and Operations Research.

Their work covers various topics such as X-ray Diffraction in Crystallography, Crystallization and Solubility Studies, Advanced Control Systems Optimization, Crystallography and Molecular Interactions, Fault Detection and Control Systems, Advanced Multi-Objective Optimization Algorithms, and Optimal Experimental Design Methods.

Frequent coauthors collaborating with Pantelides include Claire S. Adjiman, Isaac J. Sugden, David Bowskill, Doris E. Braun, and Adam C. Keates.

Publication venues where Pantelides has contributed multiple articles are:

  • The Cambridge Structural Database
  • Computers & Chemical Engineering
  • IFAC-PapersOnLine
  • SSRN Electronic Journal
  • Acta Crystallographica Section B Structural Science Crystal Engineering and Materials

Key recent publications include:

  • How many more polymorphs of ROY remain undiscovered, 2021, Chemical Science
  • Crystal Structure Prediction Methods for Organic Molecules: State of the Art, 2021, Annual Review of Chemical and Biomolecular Engineering
  • The seventh blind test of crystal structure prediction: structure generation methods, 2024, Acta Crystallographica Section B Structural Science Crystal Engineering and Materials
  • Efficient Screening of Coformers for Active Pharmaceutical Ingredient Cocrystallization, 2022, Crystal Growth & Design
  • Monitoring a segmented fluid bed dryer by hybrid data-driven/knowledge-driven modeling, 2020, IFAC-PapersOnLine

Among awards, Pantelides was recognized as a Fellow of the Royal Academy of Engineering (UK) in 2010.

Best Publications

  • A General Algorithm for Short-Term Scheduling of Batch Operations-I. MILP Formulation

    E. Kondili;C.C. Pantelides;R.W.H. Sargent

  • The consistent intialization of differential-algebraic systems

    Constantinos C. Pantelides

  • Design of Multi-echelon Supply Chain Networks under Demand Uncertainty

    P. Tsiakis;N. Shah;C. C. Pantelides

  • Report on the sixth blind test of organic crystal-structure prediction methods

    Anthony M. Reilly;Richard I. Cooper;Claire S. Adjiman;Saswata Bhattacharya

  • Solution of a Class of Multistage Dynamic Optimization Problems. 2. Problems with Path Constraints

    Unknown

  • A third blind test of crystal structure prediction

    G.M. Day;W.D.S. Motherwell;H.L. Ammon;S.X.M. Boerrigter

  • Towards crystal structure prediction of complex organic compounds--a report on the fifth blind test.

    David A. Bardwell;Claire S. Adjiman;Yelena A. Arnautova;Ekaterina Bartashevich

  • A general algorithm for short-term scheduling of batch operations—II. Computational issues

    N. Shah;C.C. Pantelides;R.W.H. Sargent

  • A symbolic reformulation/spatial branch-and-bound algorithm for the global optimisation of nonconvex MINLPs

    E.M.B. Smith;C.C. Pantelides

  • Monte Carlo evaluation of derivative-based global sensitivity measures

    Sergei S. Kucherenko;Maria Rodriguez-Fernandez;Constantinos C. Pantelides;Nilay Shah

  • A simple continuous-time process scheduling formulation and a novel solution algorithm

    G. Schilling;C.C. Pantelides

  • Optimal design of thermally coupled distillation columns

    Guido Dünnebier† and;Constantinos C. Pantelides

  • A modelling and simulation language for combined lumped and distributed parameter systems

    M. Oh;C.C. Pantelides

  • On the Optimisation of Periodic Adsorption Processes

    S. Nilchan;C.C. Pantelides

  • Ab initio crystal structure prediction-I. Rigid molecules.

    Panagiotis G. Karamertzanis;Constantinos C. Pantelides

  • The mathematical modelling of transient systems using differential-algebraic equations

    C.C. Pantelides;D. Gritsis;K.R. Morison;R.W.H. Sargent

  • Can the Formation of Pharmaceutical Cocrystals Be Computationally Predicted? 2. Crystal Structure Prediction.

    Panagiotis G Karamertzanis;Andrei V Kazantsev;Nizar Issa;Gareth W A Welch

  • RTN-based rolling horizon algorithms for medium term scheduling of multipurpose plants

    A.D. Dimitriadis;N. Shah;C.C. Pantelides

  • An Exact Reformulation Algorithm for Large Nonconvex NLPs Involving Bilinear Terms

    Leo Liberti;Constantinos C. Pantelides

  • Ab initio crystal structure prediction. II. Flexible molecules

    P. G. Karamertzanis;C. C. Pantelides

  • Optimal Campaign Planning/Scheduling of Multipurpose Batch/Semicontinuous Plants. 1. Mathematical Formulation

    Lazaros G. Papageorgiou;Constantinos C. Pantelides

Frequent Co-Authors

Claire S. Adjiman
Claire S. Adjiman Imperial College London
Lazaros G. Papageorgiou
Lazaros G. Papageorgiou University College London
Sarah L. Price
Sarah L. Price University College London
Graeme M. Day
Graeme M. Day University of Southampton
Michael C. Georgiadis
Michael C. Georgiadis Aristotle University of Thessaloniki
Efstratios N. Pistikopoulos
Efstratios N. Pistikopoulos Texas A&M University
Sandro Macchietto
Sandro Macchietto Imperial College London
Berç Rustem
Berç Rustem Imperial College London
John Darlington
John Darlington Imperial College London
Mark E. Tuckerman
Mark E. Tuckerman New York University

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