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2025

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Rising Stars

D-Index
44
Citations
4712
World Ranking
507
National Ranking
2

Environmental Sciences

D-Index
48
Citations
6108
World Ranking
5647
National Ranking
6

Rabin Chakrabortty 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 Rabin Chakrabortty 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: 105 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Rabin Chakrabortty 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 Rabin Chakrabortty 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: 48 D-Index — 44th percentile

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

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Rabin Chakrabortty is affiliated with the Asian Institute of Technology in Thailand and specializes in Environmental Science with a strong focus on topics related to flood risk, soil erosion, hydrology, and watershed management. Their research spans several subfields, including Global and Planetary Change, Environmental Engineering, Soil Science, Water Science and Technology, and Management, Monitoring, Policy and Law.

The primary topics of their work encompass:

  • Flood Risk Assessment and Management
  • Soil erosion and sediment transport
  • Hydrology and Watershed Management Studies
  • Groundwater and Watershed Analysis
  • Hydrology and Drought Analysis
  • Landslides and related hazards
  • Fire effects on ecosystems

Chakrabortty has contributed extensively to various scientific journals and conferences, with frequent publications appearing in:

  • Earth Systems and Environment (16 publications)
  • Geocarto International (15 publications)
  • Journal of Environmental Management (6 publications)
  • Remote Sensing (5 publications)
  • Gondwana Research (4 publications)

Recent notable papers include:

  • "Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms," 2020, Remote Sensing
  • "Threats of climate and land use change on future flood susceptibility," 2020, Journal of Cleaner Production
  • "Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility," 2020, Sensors
  • "Flood Susceptibility Assessment Using Novel Ensemble of Hyperpipes and Support Vector Regression Algorithms," 2021, Water
  • "Effects of climate change and sea-level rise on coastal habitat: Vulnerability assessment, adaptation strategies and policy recommendations," 2023, Journal of Environmental Management

Chakrabortty has collaborated frequently with several co-authors, including Subodh Chandra Pal, Indrajit Chowdhuri, Paramita Roy, Asish Saha, and Alireza Arabameri.

In addition to journal articles, Chakrabortty has contributed to book publications, notably the work titled "Climate Change Impact on Soil Erosion in Sub-tropical Environment," published by Springer International Publishing in 2022.

Best Publications

  • Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques

    Biswajit Das;Subodh Chandra Pal;Sadhan Malik;Rabin Chakrabortty

  • Flood susceptibility mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India

    Indrajit Chowdhuri;Subodh Chandra Pal;Rabin Chakrabortty

  • Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms

    Shahab S. Band;Saeid Janizadeh;Subodh Chandra Pal;Asish Saha

  • Effects of climate change and sea-level rise on coastal habitat: Vulnerability assessment, adaptation strategies and policy recommendations.

    Unknown

  • Threats of climate and land use change on future flood susceptibility

    Paramita Roy;Subodh Chandra Pal;Rabin Chakrabortty;Indrajit Chowdhuri

  • A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India

    Unknown

  • Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

    Shahab S. Band;Shahab S. Band;Saeid Janizadeh;Subodh Chandra Pal;Asish Saha

  • Flood Susceptibility Assessment Using Novel Ensemble of Hyperpipes and Support Vector Regression Algorithms

    Asish Saha;Subodh Chandra Pal;Alireza Arabameri;Thomas Blaschke

  • Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility.

    Wei Chen;Wei Chen;Xinxiang Lei;Rabin Chakrabortty;Subodh Chandra Pal

  • Climate change and groundwater overdraft impacts on agricultural drought in India: Vulnerability assessment, food security measures and policy recommendation.

    Unknown

  • Simulating the impact of climate change on soil erosion in sub-tropical monsoon dominated watershed based on RUSLE, SCS runoff and MIROC5 climatic model

    Subodh Chandra Pal;Rabin Chakrabortty

  • Threats of climate change and land use patterns enhance the susceptibility of future floods in India.

    Unknown

  • Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India

    Rabin Chakrabortty;Subodh Chandra Pal;Mehebub Sahana;Ayan Mondal

  • Changing climate and land use of 21st century influences soil erosion in India

    Subodh Chandra Pal;Rabin Chakrabortty;Paramita Roy;Indrajit Chowdhuri

  • Decision Tree based ensemble machine learning approaches for landslide susceptibility mapping

    Alireza Arabameri;Subodh Chandra Pal;Fatemeh Rezaie;Rabin Chakrabortty

  • Modelling multi-hazard threats to cultural heritage sites and environmental sustainability: The present and future scenarios

    Asish Saha;Subodh Chandra Pal;M. Santosh;M. Santosh;Saeid Janizadeh

  • Ensemble approach to develop landslide susceptibility map in landslide dominated Sikkim Himalayan region, India

    Indrajit Chowdhuri;Subodh Chandra Pal;Alireza Arabameri;Phuong Thao Thi Ngo

  • Modeling and mapping of groundwater potentiality zones using AHP and GIS technique: a case study of Raniganj Block, Paschim Bardhaman, West Bengal

    Rabin Chakrabortty;Subodh Chandra Pal;Sadhan Malik;Biswajit Das

  • Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya

    Indrajit Chowdhuri;Subodh Chandra Pal;Rabin Chakrabortty;Sadhan Malik

  • Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility

    Alireza Arabameri;Omid Asadi Nalivan;Subodh Chandra Pal;Rabin Chakrabortty

  • Prediction of highly flood prone areas by GIS based heuristic and statistical model in a monsoon dominated region of Bengal Basin

    Sadhan Malik;Subodh Chandra Pal;Indrajit Chowdhuri;Rabin Chakrabortty

  • Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility

    Subodh Chandra Pal;Alireza Arabameri;Thomas Blaschke;Indrajit Chowdhuri

  • Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment

    Indrajit Chowdhuri;Subodh Chandra Pal;Alireza Arabameri;Asish Saha

  • Flash-flood hazard susceptibility mapping in Kangsabati River Basin, India

    Rabin Chakrabortty;Subodh Chandra Pal;Fatemeh Rezaie;Alireza Arabameri

  • Trend of extreme rainfall events using suitable Global Circulation Model to combat the water logging condition in Kolkata Metropolitan Area

    Sadhan Malik;Subodh Chandra Pal;Ashim Sattar;Sudhir Kumar Singh

Frequent Co-Authors

M. Santosh
M. Santosh China University of Geosciences
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Thomas Blaschke
Thomas Blaschke University of Salzburg
Saro Lee
Saro Lee Korea Institute of Geoscience and Mineral Resources
Hossein Moayedi
Hossein Moayedi Duy Tan University
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Sudhir Kumar Singh
Sudhir Kumar Singh University of Allahabad
Artemi Cerdà
Artemi Cerdà University of Valencia
Assefa M. Melesse
Assefa M. Melesse Florida International University
Omid Ghorbanzadeh
Omid Ghorbanzadeh University of Salzburg

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