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A.J. Morris 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 A.J. Morris 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+

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

A.J. Morris 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 A.J. Morris 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+

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

Overview

A.J. Morris was affiliated with the University of Newcastle Australia in Australia. Their research contributed to the scientific community primarily through publications in specialized journals. The available record shows involvement in dairy science research.

They authored a paper titled A Study of Delayed Gas Formation in Cheddar Cheese, published in 2021 in the Journal of Dairy Science. This publication has been cited in subsequent literature, indicating some engagement from the academic community.

  • M. E. Oldham

Their frequent coauthor was M. E. Oldham, with whom they collaborated on at least one study. The ongoing partnership with this colleague suggests a focused research interest within a shared domain.

  • Journal of Dairy Science

The Journal of Dairy Science was the primary venue for their published work, confirming their area of expertise in dairy-related research topics.

Best Publications

  • Non-parametric confidence bounds for process performance monitoring charts☆

    E.B. Martin;A.J. Morris

  • Artificial neural networks in process engineering

    M.J. Willis;C. Di Massimo;G.A. Montague;M.T. Tham

  • Artificial neural networks in process estimation and control

    M. J. Willis;G. A. Montague;C. Di Massimo;M. T. Tham

  • Non-linear projection to latent structures revisited: the quadratic PLS algorithm

    G. Baffi;E.B. Martin;A.J. Morris

  • Soft-sensors for process estimation and inferential control

    Ming T. Tham;Gary A. Montague;A. Julian Morris;Paul A. Lant

  • Non-linear projection to latent structures revisited (the neural network PLS algorithm)

    G. Baffi;E.B. Martin;A.J. Morris

  • Process performance monitoring using multivariate statistical process control

    E.B. Martin;A.J. Morris;J. Zhang

  • Adaptive multivariate statistical process control for monitoring time-varying processes

    Sang Wook Choi;Elaine B. Martin;and A. Julian Morris;In-Beum Lee†

  • Artificial Neural Networks - Studies in-Process Modeling and Control

    Morris Aj;Montague Ga;Willis Mj

  • Statistical performance monitoring of dynamic multivariate processes using state space modelling

    A. Simoglou;E.B. Martin;A.J. Morris

  • Inferential Estimation of Polymer Quality Using Stacked Neural Networks

    J. Zhang;E.B. Martin;A.J. Morris;C. Kiparissides

  • A sequential learning approach for single hidden layer neural networks

    Jie Zhang;A. J. Morris

  • Fuzzy neural networks for nonlinear systems modelling

    J. Zhang;A.J. Morris

  • Towards improved penicillin fermentation via artificial neural networks

    C. Di Massimo;G.A. Montague;M.J. Willis;M.T. Tham

  • Performance monitoring of a multi-product semi-batch process

    S Lane;E.B Martin;R Kooijmans;A.J Morris

  • Prediction of polymer quality in batch polymerisation reactors using robust neural networks

    J. Zhang;A.J. Morris;E.B. Martin;C. Kiparissides

  • Wavelets and non-linear principal components analysis for process monitoring

    R Shao;F Jia;E.B Martin;A.J Morris

  • Non-linear principal components analysis for process fault detection

    F. Jia;E.B. Martin;A.J. Morris

  • Process monitoring using non-linear statistical techniques

    J Zhang;E.B Martin;A.J Morris

  • Fault detection based on a maximum-likelihood principal component analysis (PCA) mixture

    Sang Wook Choi;Elaine B. Martin;A. Julian Morris;In-Beum Lee

Frequent Co-Authors

Costas Kiparissides
Costas Kiparissides Aristotle University of Thessaloniki
Alan C. Ward
Alan C. Ward Newcastle University
Sukhbinder Kumar
Sukhbinder Kumar Newcastle University
Paul Lant
Paul Lant University of Queensland
Panos Seferlis
Panos Seferlis Aristotle University of Thessaloniki

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