World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
6946
World Ranking
8899
National Ranking
172

Sharad K. Jain 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 Sharad K. Jain 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: 154 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Sharad K. Jain 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 Sharad K. Jain 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: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Sharad K. Jain is affiliated with the Indian Institute of Technology Roorkee in India. Their research primarily spans the fields of Environmental Science and Engineering, with a focus on Global and Planetary Change, Water Science and Technology, Environmental Engineering, Ocean Engineering, and Atmospheric Science.

Their scientific contributions cover key topics including Hydrology and Watershed Management Studies, Flood Risk Assessment and Management, Water resources management and optimization, Hydrology and Drought Analysis, Hydrological Forecasting Using AI, Water-Energy-Food Nexus Studies, and Water Systems and Optimization.

Sharad K. Jain has collaborated frequently with researchers such as Vijay P. Singh, Pushpendra Kumar Singh, Manish Kumar Nema, Sanjay K. Jain, and P. K. Mishra.

The scientist has published multiple papers in prominent journals and venues. Notable recent publications include:

  • "Isotopes (δ18O, δD and 3H) variations in groundwater with emphasis on salinization in the state of Punjab, India" in 2021 in The Science of The Total Environment
  • "Frontier review on the propensity and repercussion of SARS-CoV-2 migration to aquatic environment" in 2020 in Journal of Hazardous Materials Letters
  • "Challenges in Understanding the Variability of the Cryosphere in the Himalaya and Its Impact on Regional Water Resources" in 2022 in Frontiers in Water
  • "State-of-the-art review: Operation of multi-purpose reservoirs during flood season" in 2023 in Journal of Hydrology
  • "Spatio-temporal analysis of rainfall pattern in the Western Ghats region of India" in 2021 in Meteorology and Atmospheric Physics

Among their frequent publication venues are Natural Hazards, Frontiers in Water, Water, ISH Journal of Hydraulic Engineering, and Sustainability.

In addition to journal articles, Sharad K. Jain has contributed to book literature, including a publication by Springer Nature titled "Water Security and Sustainability" in 2021.

Best Publications

  • Analysis of long-term rainfall trends in India

    Vijay Kumar;Sharad K. Jain;Yatveer Singh

  • Application of ANN for Reservoir Inflow Prediction and Operation

    S. K. Jain;A. Das;D. K. Srivastava

  • Analysis of rainfall and temperature trends in northeast India

    S. K. Jain;Vijay Kumar;M. Saharia

  • Hydrology and Water Resources of India

    Sharad K. Jain;Pushpendra K. Agarwal;Vijay P. Singh

  • Development of Integrated Sediment Rating Curves Using ANNs

    Sharad Kumar Jain

  • Rainfall‐runoff modelling using artificial neural networks: comparison of network types

    A. R. Senthil Kumar;K. P. Sudheer;S. K. Jain;P. K. Agarwal

  • A Brief review of flood forecasting techniques and their applications

    Sharad Kumar Jain;Pankaj Mani;Sanjay K. Jain;Pavithra Prakash

  • Fitting of Hydrologic Models: A Close Look at the Nash–Sutcliffe Index

    Sharad K. Jain;Sharad K. Jain;K. P. Sudheer;K. P. Sudheer

  • Water resources systems planning and management.

    S. K. Jain;V. P. Singh

  • Radial Basis Function Neural Network for Modeling Rating Curves

    K. P. Sudheer;S. K. Jain

  • Models for estimating evapotranspiration using artificial neural networks, and their physical interpretation

    S. K. Jain;P. C. Nayak;K. P. Sudheer

  • Rainfall-runoff modeling using conceptual, data driven, and wavelet based computing approach

    P.C. Nayak;B. Venkatesh;B. Krishna;Sharad K. Jain

  • Trends in rainfall amount and number of rainy days in river basins of India (1951–2004)

    Vijay Kumar;Sharad K. Jain

  • Setting Up Stage-Discharge Relations Using ANN

    S. K. Jain;D. Chalisgaonkar

  • Risk and reliability analysis

    Vijay P. Singh;Sharad K. Jain;Aditya Tyagi

  • Application of the SHE to catchments in India Part 2. Field experiments and simulation studies with the SHE on the Kolar subcatchment of the Narmada River

    S.K. Jain;B. Storm;J.C. Bathurst;J.C. Refsgaard

  • Integrating a glacier retreat model into a hydrological model – Case studies of three glacierised catchments in Norway and Himalayan region

    Hong Li;Stein Beldring;Chong-Yu Xu;Matthias Huss;Matthias Huss

  • Flood inundation mapping using NOAA AVHRR data

    Unknown

  • Optimal Operation of a Multi-Purpose Reservoir Using Neuro-Fuzzy Technique

    Rama Mehta;Sharad K. Jain

  • Analysis of Soil Water Retention Data Using Artificial Neural Networks

    Sharad K. Jain;Vijay P. Singh;M. Th. van Genuchten

  • Rainfall-runoff modeling through hybrid intelligent system

    P. C. Nayak;K. P. Sudheer;S. K. Jain

Frequent Co-Authors

Vijay P. Singh
Vijay P. Singh Texas A&M University
Chong-Yu Xu
Chong-Yu Xu North China University of Water Conservancy and Electric Power
K. P. Sudheer
K. P. Sudheer Indian Institute of Technology Madras
Hong Li
Hong Li Chinese Academy of Sciences
A. P. Dimri
A. P. Dimri Jawaharlal Nehru University
Matthias Huss
Matthias Huss University of Fribourg
Vladimir U. Smakhtin
Vladimir U. Smakhtin United Nations University
Prosun Bhattacharya
Prosun Bhattacharya Royal Institute of Technology
András Bárdossy
András Bárdossy University of Stuttgart
Sachchida Nand Tripathi
Sachchida Nand Tripathi Indian Institute of Technology Kanpur

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