World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
47
Citations
6152
World Ranking
5918
National Ranking
60

Manish Kumar Goyal 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 Manish Kumar Goyal 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: 154 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Manish Kumar Goyal 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 Manish Kumar Goyal 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

Manish Kumar Goyal is affiliated with the Indian Institute of Technology Indore in India and specializes in Environmental Science with a focus on various subfields including Global and Planetary Change, Water Science and Technology, Atmospheric Science, Environmental Engineering, and Ecology.

Their recent research contributions span multiple topics related to climate and water systems. Key topics of work include:

  • Climate variability and models
  • Flood Risk Assessment and Management
  • Hydrology and Drought Analysis
  • Hydrology and Watershed Management Studies
  • Hydrological Forecasting Using AI
  • Meteorological Phenomena and Simulations
  • Climate change impacts on agriculture

Among notable recent papers authored or co-authored by this researcher are:

  • "A novel framework for risk assessment and resilience of critical infrastructure towards climate change" (2021), published in Technological Forecasting and Social Change
  • "Glacial Lake Outburst Flood Hazard, Downstream Impact, and Risk Over the Indian Himalayas" (2020), published in Water Resources Research
  • "Drought occurrence in Different River Basins of India and blockchain technology based framework for disaster management" (2021), published in Journal of Cleaner Production
  • "On the relationship of climatic and monsoon teleconnections with monthly precipitation over meteorologically homogenous regions in India: Wavelet & global coherence approaches" (2020), published in Atmospheric Research
  • "Copula based analysis of meteorological, hydrological and agricultural drought characteristics across Indian river basins" (2021), published in International Journal of Climatology

Their frequent co-authors include researchers such as Shivukumar Rakkasagi, Vijay Jain, Vikas Poonia, Anil K. Gupta, and Srinidhi Jha.

Manish Kumar Goyal has published multiple works in leading venues, with the most publications appearing in:

  • Sustainability (7 publications)
  • Technological Forecasting and Social Change (4 publications)
  • Scientific Reports (4 publications)
  • Journal of Cleaner Production (3 publications)
  • Atmospheric Research (3 publications)

The scientist has also authored a range of books primarily published by Springer Nature and Springer International Publishing. Some book titles include:

  • Ecosystem Restoration: Towards Sustainability and Resilient Development (2023)
  • Hydro-Meteorological Extremes and Disasters (2022)
  • Aerosol Atmospheric Rivers (2024)
  • Monitoring India's Ramsar Wetlands (2025)
  • Integrated Risk of Pandemic: Covid-19 Impacts, Resilience and Recommendations (2020)
  • Understanding Atmospheric Rivers Using Machine Learning (2024)
  • Technology-Policy Interface for Combating Forest Loss and Fires (2025)
  • AI Innovation for Water Policy and Sustainability (2024)

These contributions collectively reflect an ongoing focus on climate-related risks, hydrological phenomena, environmental sustainability, and the application of advanced technologies such as AI and blockchain for risk management and forecasting in environmental science.

Best Publications

  • Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS

    Manish Kumar Goyal;Birendra Bharti;John Quilty;Jan Franklin Adamowski

  • A novel framework for risk assessment and resilience of critical infrastructure towards climate change

    Nikhil Kumar;Vikas Poonia;B.B. Gupta;B.B. Gupta;Manish Kumar Goyal

  • Non-stationary and copula-based approach to assess the drought characteristics encompassing climate indices over the Himalayan states in India

    Jew Das;Srinidhi Jha;Manish Kumar Goyal

  • Air quality modelling using long short-term memory (LSTM) over NCT-Delhi, India

    Mrigank Krishan;Srinidhi Jha;Jew Das;Avantika Singh

  • Glacial Lake Outburst Flood Hazard, Downstream Impact, and Risk Over the Indian Himalayas

    Saket Dubey;Manish Kumar Goyal

  • Drought occurrence in Different River Basins of India and blockchain technology based framework for disaster management

    Vikas Poonia;Manish Kumar Goyal;B.B. Gupta;B.B. Gupta;Anil Kumar Gupta

  • Impact of climate change on floods in the Brahmaputra basin using CMIP5 decadal predictions

    Tushar Apurv;Rajeshwar Mehrotra;Ashish Sharma;Manish Kumar Goyal

  • Copula based analysis of meteorological, hydrological and agricultural drought characteristics across Indian river basins

    Vikas Poonia;Srinidhi Jha;Manish Kumar Goyal

  • Enhancing climate resilience in businesses: The role of artificial intelligence

    Unknown

  • Statistical Analysis of Long Term Trends of Rainfall During 1901–2002 at Assam, India

    Manish Kumar Goyal

  • On the relationship of climatic and monsoon teleconnections with monthly precipitation over meteorologically homogenous regions in India: Wavelet & global coherence approaches

    Jew Das;Srinidhi Jha;Manish Kumar Goyal

  • Impact of Climate Change on Water Resources in India

    Manish Kumar Goyal;Rao Y. Surampalli

  • Assessment of ecosystem resilience to hydroclimatic disturbances in India.

    Ashutosh Sharma;Manish Kumar Goyal

  • Modeling of Suspended Sediment Concentration at Kasol in India Using ANN, Fuzzy Logic, and Decision Tree Algorithms

    A. R. Senthil Kumar;C. S. P. Ojha;Manish Kumar Goyal;R. D. Singh

  • Analysis and trends of precipitation lapse rate and extreme indices over north Sikkim eastern Himalayas under CMIP5ESM-2M RCPs experiments

    Vishal Singh;Manish Kumar Goyal

  • Assessment of the changes in precipitation and temperature in Teesta River basin in Indian Himalayan Region under climate change

    Ashutosh Sharma;Manish Kumar Goyal

  • Identification of Homogeneous Rainfall Regimes in Northeast Region of India using Fuzzy Cluster Analysis

    Manish Kumar Goyal;Vivek Gupta

  • Treatment of baseflow from an urban catchment by a floating wetland system

    Lloyd H.C. Chua;Stephen B.K. Tan;C.H. Sim;Manish Kumar Goyal

  • Modeling of Sediment Yield Prediction Using M5 Model Tree Algorithm and Wavelet Regression

    Manish Kumar Goyal

  • Assessment of drought trend and variability in India using wavelet transform

    Ashutosh Sharma;Manish Kumar Goyal

  • Downscaling of surface temperature for lake catchment in an arid region in India using linear multiple regression and neural networks

    Manish Kumar Goyal;Manish Kumar Goyal;C. S. P. Ojha

  • Application of ANN, Fuzzy Logic and Decision Tree Algorithms for the Development of Reservoir Operating Rules

    A. R. Senthil kumar;Manish Kumar Goyal;Manish Kumar Goyal;C. S. P. Ojha;R. D. Singh

  • Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India

    Srinidhi Jha;Jew Das;Ashutosh Sharma;Budhaditya Hazra

  • Fate of pharmaceutical compounds in hydroponic mesocosms planted with Scirpus validus.

    Dong Qing Zhang;Richard M. Gersberg;Tao Hua;Junfei Zhu

  • Comparative Assessment of SWAT Model Performance in two Distinct Catchments under Various DEM Scenarios of Varying Resolution, Sources and Resampling Methods

    Manish Kumar Goyal;Venkatesh K. Panchariya;Ashutosh Sharma;Vishal Singh

  • Downscaling of precipitation on a lake basin: evaluation of rule and decision tree induction algorithms

    Manish Kumar Goyal;Manish Kumar Goyal;C. S. P. Ojha

Frequent Co-Authors

Brij B. Gupta
Brij B. Gupta Asia University Taiwan
Rao Y. Surampalli
Rao Y. Surampalli University of Nebraska–Lincoln
Chandra A. Madramootoo
Chandra A. Madramootoo McGill University
Donald H. Burn
Donald H. Burn University of Waterloo
Ching-Hsien Hsu
Ching-Hsien Hsu Asia University Taiwan
Stefan Wuertz
Stefan Wuertz Nanyang Technological University
Dongqing Zhang
Dongqing Zhang Nanyang Technological University
Richard M. Gersberg
Richard M. Gersberg San Diego State University
Rajeshwar Dayal Tyagi
Rajeshwar Dayal Tyagi Institut National de la Recherche Scientifique
Donald L. Smith
Donald L. Smith McGill University

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