World's Best Scientists 2026 revealed!
Shiv O. Prasher

Shiv O. Prasher

D-Index & Metrics

Environmental Sciences

D-Index
47
Citations
9664
World Ranking
5720
National Ranking
243

Shiv O. Prasher publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Shiv O. Prasher sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 303 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Shiv O. Prasher D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Shiv O. Prasher sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 47 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Shiv O. Prasher is affiliated with McGill University in Canada. Their research primarily spans the fields of Environmental Science and Materials Science, with substantial work also addressing subfields such as Polymers and Plastics, Industrial and Manufacturing Engineering, Pollution, Soil Science, and Water Science and Technology.

Their publication record includes multiple research topics, notably:

  • Wastewater Treatment and Reuse
  • Polymer Nanocomposites and Properties
  • Natural Fiber Reinforced Composites
  • Hydrology and Watershed Management Studies
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Heavy metals in environment
  • Soil Carbon and Nitrogen Dynamics

Prasher has contributed extensively to academic journals, with frequent publications in venues such as Sustainability, Environmental Technology & Innovation, Materials Today Communications, Biomass and Bioenergy, and Water Air & Soil Pollution.

Selected recent papers include:

  • Desorption Strategies and Reusability of Biopolymeric Adsorbents and Semisynthetic Derivatives in Hydrogel and Hydrogel Composites Used in Adsorption Processes (2023), ACS Engineering Au
  • The physicochemical properties of biochar and its applicability as a filler in rubber composites: A review (2021), Materials Today Communications
  • Effect of inorganic additives (rock phosphate, PR and boron waste, BW) on the passivation of Cu, Zn during pig manure composting (2021), Journal of Environmental Management
  • Effect of hydrogel based soil amendments on heavy metal uptake by spinach grown with wastewater irrigation (2021), Journal of Cleaner Production
  • Heavy metal uptake by wastewater irrigated potato plants grown on contaminated soil treated with hydrogel based amendments (2020), Environmental Technology & Innovation

In collaboration, Prasher works frequently with several coauthors, among them:

  • Jaskaran Dhiman
  • Christopher Nzediegwu
  • Ali Mawof
  • Marie-Josée Dumont
  • Ramanbhai M. Patel

Best Publications

  • Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada

    Jan Adamowski;Hiu Fung Chan;Shiv O. Prasher;Bogdan Ozga-Zielinski

  • Three-Dimensional Quantification of Macropore Networks in Undisturbed Soil Cores

    Johan Perret;S. O. Prasher;A. Kantzas;C. Langford

  • Classification of hyperspectral data by decision trees and artificial neural networks to identify weed stress and nitrogen status of corn

    Pradeep K. Goel;Shiv O. Prasher;Ramanbhai M. Patel;Jacques-André Landry

  • Artificial neural networks to predict corn yield from Compact Airborne Spectrographic Imager data

    Y. Uno;S. O. Prasher;R. Lacroix;P. K. Goel

  • Evaluating Three Hydrological Distributed Watershed Models: MIKE-SHE, APEX, SWAT

    Golmar Golmohammadi;Shiv Prasher;Ali Madani;Ramesh Rudra

  • Removal of Selected Metal Ions from Aqueous Solutions Using Chitosan Flakes

    Raman Bassi;Shiv O. Prasher;B. K. Simpson

  • Using causal loop diagrams for the initialization of stakeholder engagement in soil salinity management in agricultural watersheds in developing countries: a case study in the Rechna Doab watershed, Pakistan.

    Azhar Inam;Jan Adamowski;Johannes Halbe;Shiv Prasher

  • Application of support vector machine technology for weed and nitrogen stress detection in corn

    Y. Karimi;S. O. Prasher;R. M. Patel;S. H. Kim

  • Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data

    Jan Adamowski;Hiu Fung Chan;Shiv O. Prasher;Vishwa Nath Sharda

  • The effect of composting on the degradation of a veterinary pharmaceutical

    Jayashree Ramaswamy;Shiv O. Prasher;Ramanbhai M. Patel;Syed A. Hussain

  • Potential of airborne hyperspectral remote sensing to detect nitrogen deficiency and weed infestation in corn

    Pradeep K. Goel;Shiv O. Prasher;Jacques-André Landry;Ramanbhai M. Patel

  • Application of decision tree technology for image classification using remote sensing data

    Chun-Chieh Yang;Shiv O Prasher;Peter Enright;Chandra Madramootoo

  • Measuring performance in precision agriculture: CART-A decision tree approach

    T. Waheed;R.B. Bonnell;Shiv O. Prasher;E. Paulet

  • ESTIMATION OF CROP BIOPHYSICAL PARAMETERS THROUGH AIRBORNE AND FIELD HYPERSPECTRAL REMOTE SENSING

    Pradeep K. Goel;Shiv O. Prasher;Jacques-André Landry;Ramanbhai M. Patel

  • Performance of Multivariate Adaptive Regression Splines (MARS) in predicting runoff in mid-Himalayan micro-watersheds with limited data / Performances de régressions par splines multiples et adaptives (MARS) pour la prévision d'écoulement au sein de micro-bassins versants Himalayens d'altitudes intermédiaires avec peu de données

    V. N. Sharda;S. O. Prasher;R. M. Patel;P. R. Ojasvi

  • Extraction of metals from a contaminated sandy soil using citric acid

    Raman Bassi;Shiv O. Prasher;B.K. Simpson

  • Evaluation of pedotransfer functions in predicting the soil water contents at field capacity and wilting point

    Unknown

  • Advances in the acquisition and analysis of CT scan data to isolate a crop root system from the soil medium and quantify root system complexity in 3-D space

    Melinda Lontoc-Roy;Pierre Dutilleul;Shiv O. Prasher;Liwen Han

  • Mass fractal dimension of soil macropores using computed tomography: from the box‐counting to the cube‐counting algorithm

    Unknown

  • Simultaneous mobilization of heavy metals and polychlorinated biphenyl (PCB) compounds from soil with cyclodextrin and EDTA in admixture.

    Sadia Ehsan;Shiv O. Prasher;William D. Marshall

  • Rhizospheric effects of alfalfa on biotransformation of polychlorinated biphenyls in a contaminated soil augmented with Sinorhizobium meliloti

    Reza Mehmannavaz;Reza Mehmannavaz;Shiv O Prasher;Darakhshan Ahmad

  • Artificial Neural Network Model for Subsurface-Drained Farmlands

    Chun-Chieh Yang;Shiv O. Prasher;René Lacroix;Sri Sreekanth

  • USE OF AIRBORNE MULTI-SPECTRAL IMAGERY FOR WEED DETECTION IN FIELD CROPS

    P. K. Goel;S. O. Prasher;R. M. Patel;D. L. Smith

  • Angiotensin I-converting enzyme inhibitory properties of Phaseolus vulgaris bean hydrolysates: Effects of different thermal and enzymatic digestion treatments

    Xin Rui;Xin Rui;Joyce I. Boye;Benjamin K. Simpson;Shiv O. Prasher

  • Removal of ionophoric antibiotics in free water surface constructed wetlands

    Syed Azfar Hussain;Shiv O. Prasher;Ramanbhai M. Patel

Frequent Co-Authors

Chandra A. Madramootoo
Chandra A. Madramootoo McGill University
Jan Adamowski
Jan Adamowski McGill University
Benjamin K. Simpson
Benjamin K. Simpson McGill University
Joyce I. Boye
Joyce I. Boye Agriculture and Agriculture-Food Canada
Suzelle Barrington
Suzelle Barrington Concordia University
Donald L. Smith
Donald L. Smith McGill University
Joann K. Whalen
Joann K. Whalen McGill University
William H. Hendershot
William H. Hendershot McGill University
Shyam S. Sablani
Shyam S. Sablani Washington State University
Richard B. Ferguson
Richard B. Ferguson University of Nebraska–Lincoln

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For educators and professionals aiming to influence environmental education and policy, advanced degrees like an EdD can be a strategic choice. Many programs, including those listed among the edd without dissertation options, offer flexible formats catering to working adults and career changers.

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