World's Best Scientists 2026 revealed!

D-Index & Metrics

Plant Science and Agronomy

D-Index
55
Citations
9736
World Ranking
1634
National Ranking
126

Kerry B. Walsh publication distribution in Plant Science and Agronomy in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Plant Science and Agronomy in 2026. The highlighted bar marks where Kerry B. Walsh sits on this spectrum.

36–40 publications: 2 scientists 41–45 publications: 7 scientists 46–50 publications: 40 scientists 51–55 publications: 58 scientists 56–60 publications: 60 scientists 61–65 publications: 107 scientists 66–70 publications: 130 scientists 71–75 publications: 153 scientists 76–80 publications: 191 scientists 81–85 publications: 199 scientists 86–90 publications: 206 scientists 91–95 publications: 218 scientists 96–100 publications: 226 scientists 101–105 publications: 227 scientists 106–110 publications: 247 scientists 111–115 publications: 255 scientists 116–120 publications: 253 scientists 121–125 publications: 233 scientists 126–130 publications: 219 scientists 131–135 publications: 201 scientists 136–140 publications: 194 scientists 141–145 publications: 176 scientists 146–150 publications: 157 scientists 151–155 publications: 147 scientists 156–160 publications: 151 scientists 161–165 publications: 159 scientists 166–170 publications: 137 scientists 171–175 publications: 128 scientists 176–180 publications: 126 scientists 181–185 publications: 98 scientists 186–190 publications: 114 scientists 191–195 publications: 100 scientists 196–200 publications: 90 scientists 201–205 publications: 71 scientists 206–210 publications: 98 scientists 211–215 publications: 70 scientists 216–220 publications: 86 scientists 221–225 publications: 61 scientists 226–230 publications: 58 scientists 231–235 publications: 53 scientists 236–240 publications: 64 scientists 241–245 publications: 39 scientists 246–250 publications: 46 scientists 251–255 publications: 51 scientists 256–260 publications: 36 scientists 261–265 publications: 44 scientists 266–270 publications: 35 scientists 271–275 publications: 30 scientists 276–280 publications: 33 scientists 281–285 publications: 35 scientists 286–290 publications: 36 scientists 291–295 publications: 26 scientists 296–300 publications: 26 scientists 301–305 publications: 31 scientists 306–310 publications: 30 scientists 311–315 publications: 21 scientists 316–320 publications: 29 scientists 321–325 publications: 14 scientists 326–330 publications: 15 scientists 331–335 publications: 15 scientists 336–340 publications: 17 scientists 341–345 publications: 15 scientists 346–350 publications: 12 scientists 351–355 publications: 17 scientists 356–360 publications: 18 scientists 361–365 publications: 12 scientists 366–370 publications: 11 scientists 371–375 publications: 6 scientists 376–380 publications: 6 scientists 381–385 publications: 11 scientists 386–390 publications: 9 scientists 391–395 publications: 10 scientists 396–400 publications: 8 scientists 401–405 publications: 4 scientists 406–410 publications: 9 scientists 411–415 publications: 11 scientists 416–420 publications: 4 scientists 421–425 publications: 7 scientists 426–430 publications: 4 scientists 431–435 publications: 3 scientists 436–440 publications: 5 scientists 441–445 publications: 8 scientists 446–450 publications: 6 scientists 451–455 publications: 7 scientists 456–460 publications: 5 scientists 461–465 publications: 6 scientists 466 publications: 2 scientists 467+ publications: 99 scientists
36 publications 467+

This scientist: 213 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 467 publications or more.

Kerry B. Walsh D-index placement in Plant Science and Agronomy in 2026

The chart shows the D-index (discipline H-index) distribution of Plant Science and Agronomy scientists ranked by Research.com in 2026. The highlighted bar marks where Kerry B. Walsh sits on this spectrum.

30 D-Index: 200 scientists 31 D-Index: 236 scientists 32 D-Index: 253 scientists 33 D-Index: 283 scientists 34 D-Index: 288 scientists 35 D-Index: 240 scientists 36 D-Index: 246 scientists 37 D-Index: 243 scientists 38 D-Index: 247 scientists 39 D-Index: 229 scientists 40 D-Index: 232 scientists 41 D-Index: 230 scientists 42 D-Index: 228 scientists 43 D-Index: 219 scientists 44 D-Index: 193 scientists 45 D-Index: 164 scientists 46 D-Index: 158 scientists 47 D-Index: 143 scientists 48 D-Index: 131 scientists 49 D-Index: 127 scientists 50 D-Index: 122 scientists 51 D-Index: 122 scientists 52 D-Index: 110 scientists 53 D-Index: 102 scientists 54 D-Index: 98 scientists 55 D-Index: 79 scientists 56 D-Index: 85 scientists 57 D-Index: 88 scientists 58 D-Index: 91 scientists 59 D-Index: 62 scientists 60 D-Index: 61 scientists 61 D-Index: 59 scientists 62 D-Index: 54 scientists 63 D-Index: 61 scientists 64 D-Index: 59 scientists 65 D-Index: 58 scientists 66 D-Index: 41 scientists 67 D-Index: 49 scientists 68 D-Index: 39 scientists 69 D-Index: 32 scientists 70 D-Index: 40 scientists 71 D-Index: 47 scientists 72 D-Index: 38 scientists 73 D-Index: 28 scientists 74 D-Index: 29 scientists 75 D-Index: 28 scientists 76 D-Index: 22 scientists 77 D-Index: 21 scientists 78 D-Index: 25 scientists 79 D-Index: 26 scientists 80 D-Index: 19 scientists 81 D-Index: 16 scientists 82 D-Index: 12 scientists 83 D-Index: 16 scientists 84 D-Index: 14 scientists 85 D-Index: 11 scientists 86 D-Index: 17 scientists 87 D-Index: 13 scientists 88 D-Index: 10 scientists 89 D-Index: 12 scientists 90 D-Index: 18 scientists 91 D-Index: 16 scientists 92 D-Index: 16 scientists 93 D-Index: 17 scientists 94 D-Index: 12 scientists 95 D-Index: 8 scientists 96 D-Index: 9 scientists 97 D-Index: 9 scientists 98 D-Index: 11 scientists 99 D-Index: 12 scientists 100 D-Index: 5 scientists 101 D-Index: 8 scientists 102 D-Index: 4 scientists 103 D-Index: 11 scientists 104 D-Index: 5 scientists 105 D-Index: 9 scientists 106 D-Index: 7 scientists 107 D-Index: 4 scientists 108 D-Index: 8 scientists 109+ D-Index: 99 scientists
30 D-Index 109+

This scientist: 55 D-Index — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 109 D-Index or more.

Overview

What is he best known for?

The fields of study he is best known for:

  • Botany
  • Ecology
  • Agriculture

Kerry B. Walsh spends much of his time researching Botany, Linear regression, Calibration, Artificial intelligence and Near-infrared spectroscopy. His study in Botany focuses on Carica in particular. Kerry B. Walsh has included themes like Partial least squares regression and Dry matter in his Linear regression study.

His studies deal with areas such as Standard error and Brix as well as Calibration. His work on RGB color model, Machine vision and Segmentation as part of general Artificial intelligence research is frequently linked to Tree, thereby connecting diverse disciplines of science. His Near-infrared spectroscopy study combines topics from a wide range of disciplines, such as Soluble solids and Analytical chemistry.

His most cited work include:

  • Short-Wavelength Near-Infrared Spectra of Sucrose, Glucose, and Fructose with Respect to Sugar Concentration and Temperature (155 citations)
  • Prediction of mango eating quality at harvest using short-wave near infrared spectrometry (123 citations)
  • Robustness of calibration models based on near infrared spectroscopy for the in-line grading of stonefruit for total soluble solids content (118 citations)

What are the main themes of his work throughout his whole career to date?

Kerry B. Walsh mostly deals with Horticulture, Botany, Agronomy, Near-infrared spectroscopy and Partial least squares regression. As a part of the same scientific family, Kerry B. Walsh mostly works in the field of Horticulture, focusing on Dry matter and, on occasion, Cultivar. His work on Phloem, Xylem and Vascular bundle as part of general Botany research is often related to Vascular transport, thus linking different fields of science.

In general Agronomy study, his work on Sorghum, Shoot and Compost often relates to the realm of Rumen, thereby connecting several areas of interest. His work in Near-infrared spectroscopy addresses issues such as Calibration, which are connected to fields such as Linear regression. His Partial least squares regression study is concerned with the field of Statistics as a whole.

He most often published in these fields:

  • Horticulture (22.66%)
  • Botany (20.69%)
  • Agronomy (15.27%)

What were the highlights of his more recent work (between 2016-2021)?

  • Statistics (10.84%)
  • Orchard (5.91%)
  • Horticulture (22.66%)

In recent papers he was focusing on the following fields of study:

Kerry B. Walsh mainly focuses on Statistics, Orchard, Horticulture, Machine vision and Tree. His research in Statistics intersects with topics in Artificial neural network, Random forest and Dry matter. His study looks at the relationship between Orchard and topics such as Pixel, which overlap with Test set.

His Horticulture study incorporates themes from Thinning and Hydrogen peroxide. His Machine vision research incorporates elements of Segmentation, Fruit weight, Canopy, Panicle and Agricultural engineering. His Partial least squares regression research includes elements of Cultivar, Cross-validation, Mean squared error, Calibration and Data set.

Between 2016 and 2021, his most popular works were:

  • Natural product-derived phytochemicals as potential agents against coronaviruses: A review. (94 citations)
  • Deep learning - method overview and review of use for fruit detection and yield estimation (71 citations)
  • Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘ MangoYOLO ’ (67 citations)

In his most recent research, the most cited papers focused on:

  • Botany
  • Ecology
  • Agriculture

Kerry B. Walsh focuses on Context, Orchard, Artificial intelligence, Dry matter and Partial least squares regression. His work carried out in the field of Orchard brings together such families of science as Pixel and Machine vision. His work on RGB color model as part of general Artificial intelligence study is frequently connected to Tree, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

His Dry matter research integrates issues from Thinning, Girdling, Water stress, Statistics and Brix. His Statistics research incorporates themes from Ripening, Cultivar and Feature selection. He has researched Partial least squares regression in several fields, including Mean squared error and Hyperspectral imaging.

Best Publications

  • Deep learning – Method overview and review of use for fruit detection and yield estimation

    Anand Koirala;Kerry B. Walsh;Zhenglin Wang;Cheryl McCarthy

  • Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’

    A. Koirala;K. B. Walsh;Z. Wang;C. McCarthy

  • Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use

    Kerry B. Walsh;José Blasco;Manuela Zude-Sasse;Xudong Sun

  • Estimation of mango crop yield using image analysis - Segmentation method

    A. B. Payne;K. B. Walsh;P. P. Subedi;D. Jarvis

  • Prediction of mango eating quality at harvest using short-wave near infrared spectrometry

    P.P. Subedi;K.B. Walsh;G. Owens

  • Physiology of the legume nodule and its response to stress

    K.B. Walsh

  • On-Tree Mango Fruit Size Estimation Using RGB-D Images

    Zhenglin Wang;Kerry B. Walsh;Brijesh K. Verma

  • Sorting of Fruit Using near Infrared Spectroscopy: Application to a Range of Fruit and Vegetables for Soluble Solids and Dry Matter Content:

    Kerry B. Walsh;Mirta. Golic;Colin Victor. Greensill

  • Phylogenetic positions of phytoplasmas associated with dieback, yellow crinkle and mosaic diseases of papaya, and their proposed inclusion in 'Candidatus Phytoplasma australiense' and a new taxon, 'Candidatus Phytoplasma australasia'

    Daniel T. White;Linda L. Blackall;Paul T. Scott;Kerry B. Walsh

  • Non-invasive assessment of pineapple and mango fruit quality using near infra-red spectroscopy

    J. Guthrie;K.B. Walsh

  • The uses of near infra-red spectroscopy in postharvest decision support: A review

    K.B. Walsh;V.A. McGlone;D.H. Han

  • Oxygen limitation of N2 fixation in stem‐girdled and nitrate‐treated soybean

    J. Kevin Vessey;Kerry B. Walsh;David B. Layzell

  • Carbohydrate Supply and N2 Fixation in Soybean The Effect of Varied Daylength and Stem Girdling

    Kerry B. Walsh;J. Kevin Vessey;David B. Layzell

  • Machine vision for counting fruit on mango tree canopies

    W. S. Qureshi;W. S. Qureshi;A. Payne;K. B. Walsh;R. Linker

  • Detection and quantification of ligands involved in nickel detoxification in a herbaceous Ni hyperaccumulator Stackhousia tryonii Bailey

    Naveen P. Bhatia;Kerry B. Walsh;Alan J. M. Baker

  • Estimating mango crop yield using image analysis using fruit at 'stone hardening' stage and night time imaging

    A. Payne;K. Walsh;P. Subedi;D. Jarvis

  • Application of commercially available, low-cost, miniaturised NIR spectrometers to the assessment of the sugar content of intact fruit

    Kerry B. Walsh;John A. Guthrie;Justin W. Burney

  • Biochar, Bentonite and Zeolite Supplemented Feeding of Layer Chickens Alters Intestinal Microbiota and Reduces Campylobacter Load.

    Tanka P. Prasai;Kerry B. Walsh;Surya P. Bhattarai;David J. Midmore

  • Assessment of sugar and starch in intact banana and mango fruit by SWNIR spectroscopy

    P.P. Subedi;K.B. Walsh

  • Assessment of internal quality attributes of mandarin fruit. 1. NIR calibration model development

    J. A. Guthrie;K. B. Walsh;D. J. Reid;C. J. Liebenberg

  • Carbon and Nitrogen Assimilation and Partitioning in Soybeans Exposed to Low Root Temperatures

    Kerry B. Walsh;David B. Layzell

  • Histopathology and Within-Plant Distribution of the Phytoplasma Associated with Australian Papaya Dieback

    A. B. M. Siddique;J. N. Guthrie;K. B. Walsh;D. T. White

  • Robustness of NIR Calibrations for Soluble Solids in Intact Melon and Pineapple

    John Guthrie;Brett Wedding;Kerry Walsh

Frequent Co-Authors

David J. Midmore
David J. Midmore Central Queensland University
David B. Layzell
David B. Layzell University of Calgary
Alan J. M. Baker
Alan J. M. Baker University of Queensland
Robert J. Moore
Robert J. Moore RMIT University
Brijesh Verma
Brijesh Verma Central Queensland University
Andrew S. Ball
Andrew S. Ball RMIT University
Roger Armstrong
Roger Armstrong La Trobe University
James Underwood
James Underwood University of Sydney
Janet I. Sprent
Janet I. Sprent University of Dundee
David T. Canvin
David T. Canvin Queen's University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Kerry B. Walsh

Trending Scientists

Recently Published Articles