World's Best Scientists 2026 revealed!
Digvir S. Jayas

Digvir S. Jayas

D-Index & Metrics

Engineering and Technology

D-Index
77
Citations
17938
World Ranking
676
National Ranking
26

Digvir S. Jayas 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 Digvir S. Jayas 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: 390 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Digvir S. Jayas 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 Digvir S. Jayas 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: 77 D-Index — 94th percentile

94% 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

  • 2009 - Fellow of the Royal Society of Canada Academy of Science
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Digvir S. Jayas is affiliated with the University of Manitoba in Canada and specializes primarily in Agricultural and Biological Sciences, with a notable focus on several subfields including Plant Science, Insect Science, Nutrition and Dietetics, Food Science, and Analytical Chemistry.

Their research output spans a range of topics, with a strong emphasis on pest control and food quality. Key topics addressed in their work include:

  • Insect Pest Control Strategies
  • Insect and Pesticide Research
  • Food composition and properties
  • Insect Utilization and Effects
  • Spectroscopy and Chemometric Analyses
  • Insect Resistance and Genetics
  • Heavy Metals in Plants

Recent publications by Jayas cover diverse aspects of food science and stored product pest management. Notable papers include:

  • Non-destructive classification and prediction of aflatoxin-B1 concentration in maize kernels using Vis-NIR (400-1000 nm) hyperspectral imaging, 2020, Journal of Food Science and Technology
  • Applications of X-ray micro-computed tomography and small-angle X-ray scattering techniques in food systems: A concise review, 2022, Journal of Food Engineering
  • Movement and behavioral response of stored product insects under stored grain environments - A review, 2020, Journal of Stored Products Research
  • Applications of imaging systems for the assessment of quality characteristics of bread and other baked goods: A review, 2023, Comprehensive Reviews in Food Science and Food Safety
  • Implications of Blending Pulse and Wheat Flours on Rheology and Quality Characteristics of Baked Goods: A Review, 2022, Foods

Jayas frequently publishes in the following venues:

  • Journal of Stored Products Research
  • Foods
  • Environmental Entomology
  • Journal of Economic Entomology
  • Comprehensive Reviews in Food Science and Food Safety

The scientist collaborates regularly with several coauthors, with notable frequent collaborators including Fuji Jian, Vimala S. K. Bharathi, Jitendra Paliwal, T. Anukiruthika, and Chithra Karunakaran.

In addition to journal articles, Jayas has contributed to book publications, including a work published in 2023 titled Image Processing: Advances in Applications and Research by Nova Publishers.

Recognition for Jayas's contributions includes being a Fellow of the Royal Society of Canada since 2009 and membership in The Canadian Academy of Engineering.

Best Publications

  • Nanotechnology for the Food and Bioprocessing Industries.

    Suresh Neethirajan;Digvir S. Jayas

  • Non-uniform Temperature Distribution During Microwave Heating of Food Materials—A Review

    R. Vadivambal;D. S. Jayas

  • Pulsed electric field processing of foods: a review.

    S. Jeyamkondan;D. S. Jayas;R. A. Holley

  • Changes in quality of microwave-treated agricultural products—a review

    R. Vadivambal;D.S. Jayas

  • Detection techniques for stored-product insects in grain

    S. Neethirajan;C. Karunakaran;D.S. Jayas;N.D.G. White

  • Applications of Thermal Imaging in Agriculture and Food Industry—A Review

    R. Vadivambal;Digvir S. Jayas

  • REVIEW OF THIN-LAYER DRYING AND WETTING EQUATIONS

    Digvir S. Jayas;Stefan Cenkowski;Stanislaw Pabis;William E. Muir

  • Carbon Dioxide (CO2) Sensors for the Agri-food Industry—A Review

    S. Neethirajan;D. S. Jayas;S. Sadistap

  • Stored-grain ecosystems.

    D. S. Jayas;N. D. G. White;W. E. Muir

  • Detection of insect-damaged wheat kernels using near-infrared hyperspectral imaging

    C.B. Singh;D.S. Jayas;J. Paliwal;N.D.G. White

  • Classification of cereal grains using machine vision: I. Morphology models.

    S. Majumdar;D. S. Jayas

  • Extraction of Spectral Information from Hyperspectral Data and Application of Hyperspectral Imaging for Food and Agricultural Products

    Lankapalli Ravikanth;Digvir S. Jayas;Noel D. G. White;Paul G. Fields

  • CLASSIFICATION OF CEREAL GRAINS USING MACHINE VISION: III. TEXTURE MODELS

    S. Majumdar;D. S. Jayas

  • Modified atmosphere storage of grains meats fruits and vegetables

    D.S. Jayas;S. Jeyamkondan;S. Jeyamkondan

  • Hyperspectral imaging to classify and monitor quality of agricultural materials

    S. Mahesh;D.S. Jayas;J. Paliwal;N.D.G. White

  • Feasibility of near-infrared hyperspectral imaging to differentiate Canadian wheat classes

    S. Mahesh;A. Manickavasagan;D.S. Jayas;J. Paliwal

  • Identification of insect-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging

    Chandra B. Singh;Digvir S. Jayas;Jitendra Paliwal;Noel D. G. White

  • CLASSIFICATION OF CEREAL GRAINS USING MACHINE VISION: IV. COMBINED MORPHOLOGY, COLOR, AND TEXTURE MODELS

    S. Majumdar;D. S. Jayas

  • Storage and drying of grain in Canada: low cost approaches

    Digvir S. Jayas;Noel D.G. White

  • Cereal Grain and Dockage Identification using Machine Vision

    J Paliwal;N.S Visen;D.S Jayas;N.D.G White

Frequent Co-Authors

Jitendra Paliwal
Jitendra Paliwal University of Manitoba
Suresh Neethirajan
Suresh Neethirajan Dalhousie University
Shahab Sokhansanj
Shahab Sokhansanj University of British Columbia
Michael S. Freund
Michael S. Freund Dalhousie University
Richard A. Holley
Richard A. Holley University of Manitoba
Da-Wen Sun
Da-Wen Sun University College Dublin
Shahin Rafiee
Shahin Rafiee University of Tehran
Hongbin Pu
Hongbin Pu South China University of Technology
Ronald R. Marquardt
Ronald R. Marquardt University of Manitoba
Rachid Lahlali
Rachid Lahlali École Normale Supérieure

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