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Earth Science
Korea
2026

D-Index & Metrics

Earth Science

D-Index
97
Citations
29079
World Ranking
166
National Ranking
1

Saro Lee publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Saro Lee sits on this spectrum.

38–42 publications: 1 scientists 43–47 publications: 0 scientists 48–52 publications: 3 scientists 53–57 publications: 8 scientists 58–62 publications: 11 scientists 63–67 publications: 16 scientists 68–72 publications: 24 scientists 73–77 publications: 31 scientists 78–82 publications: 49 scientists 83–87 publications: 77 scientists 88–92 publications: 86 scientists 93–97 publications: 88 scientists 98–102 publications: 92 scientists 103–107 publications: 84 scientists 108–112 publications: 102 scientists 113–117 publications: 108 scientists 118–122 publications: 117 scientists 123–127 publications: 126 scientists 128–132 publications: 146 scientists 133–137 publications: 114 scientists 138–142 publications: 102 scientists 143–147 publications: 127 scientists 148–152 publications: 102 scientists 153–157 publications: 112 scientists 158–162 publications: 102 scientists 163–167 publications: 127 scientists 168–172 publications: 121 scientists 173–177 publications: 112 scientists 178–182 publications: 109 scientists 183–187 publications: 98 scientists 188–192 publications: 92 scientists 193–197 publications: 105 scientists 198–202 publications: 77 scientists 203–207 publications: 80 scientists 208–212 publications: 89 scientists 213–217 publications: 70 scientists 218–222 publications: 74 scientists 223–227 publications: 74 scientists 228–232 publications: 70 scientists 233–237 publications: 67 scientists 238–242 publications: 59 scientists 243–247 publications: 67 scientists 248–252 publications: 51 scientists 253–257 publications: 46 scientists 258–262 publications: 41 scientists 263–267 publications: 39 scientists 268–272 publications: 34 scientists 273–277 publications: 39 scientists 278–282 publications: 35 scientists 283–287 publications: 36 scientists 288–292 publications: 35 scientists 293–297 publications: 29 scientists 298–302 publications: 23 scientists 303–307 publications: 39 scientists 308–312 publications: 34 scientists 313–317 publications: 23 scientists 318–322 publications: 18 scientists 323–327 publications: 18 scientists 328–332 publications: 21 scientists 333–337 publications: 20 scientists 338–342 publications: 15 scientists 343–347 publications: 13 scientists 348–352 publications: 24 scientists 353–357 publications: 25 scientists 358–362 publications: 10 scientists 363–367 publications: 20 scientists 368–372 publications: 17 scientists 373–377 publications: 18 scientists 378–382 publications: 15 scientists 383–387 publications: 7 scientists 388–392 publications: 22 scientists 393–397 publications: 9 scientists 398–402 publications: 11 scientists 403–407 publications: 16 scientists 408–412 publications: 4 scientists 413–417 publications: 5 scientists 418–422 publications: 14 scientists 423–427 publications: 8 scientists 428–432 publications: 7 scientists 433–437 publications: 7 scientists 438–442 publications: 10 scientists 443–447 publications: 10 scientists 448–452 publications: 3 scientists 453–457 publications: 9 scientists 458–462 publications: 11 scientists 463–467 publications: 4 scientists 468–472 publications: 6 scientists 473–477 publications: 11 scientists 478–482 publications: 8 scientists 483–487 publications: 2 scientists 488–492 publications: 3 scientists 493–497 publications: 4 scientists 498–502 publications: 4 scientists 503–507 publications: 4 scientists 508–509 publications: 4 scientists 510+ publications: 100 scientists
38 publications 510+

This scientist: 218 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 510 publications or more.

Saro Lee D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Saro Lee sits on this spectrum.

30 D-Index: 15 scientists 31 D-Index: 42 scientists 32 D-Index: 60 scientists 33 D-Index: 90 scientists 34 D-Index: 103 scientists 35 D-Index: 108 scientists 36 D-Index: 142 scientists 37 D-Index: 147 scientists 38 D-Index: 147 scientists 39 D-Index: 152 scientists 40 D-Index: 143 scientists 41 D-Index: 157 scientists 42 D-Index: 141 scientists 43 D-Index: 151 scientists 44 D-Index: 140 scientists 45 D-Index: 135 scientists 46 D-Index: 121 scientists 47 D-Index: 108 scientists 48 D-Index: 128 scientists 49 D-Index: 111 scientists 50 D-Index: 106 scientists 51 D-Index: 112 scientists 52 D-Index: 102 scientists 53 D-Index: 103 scientists 54 D-Index: 94 scientists 55 D-Index: 61 scientists 56 D-Index: 101 scientists 57 D-Index: 71 scientists 58 D-Index: 65 scientists 59 D-Index: 78 scientists 60 D-Index: 93 scientists 61 D-Index: 56 scientists 62 D-Index: 58 scientists 63 D-Index: 52 scientists 64 D-Index: 63 scientists 65 D-Index: 49 scientists 66 D-Index: 53 scientists 67 D-Index: 57 scientists 68 D-Index: 50 scientists 69 D-Index: 44 scientists 70 D-Index: 44 scientists 71 D-Index: 31 scientists 72 D-Index: 33 scientists 73 D-Index: 33 scientists 74 D-Index: 23 scientists 75 D-Index: 32 scientists 76 D-Index: 24 scientists 77 D-Index: 17 scientists 78 D-Index: 19 scientists 79 D-Index: 9 scientists 80 D-Index: 21 scientists 81 D-Index: 20 scientists 82 D-Index: 17 scientists 83 D-Index: 19 scientists 84 D-Index: 19 scientists 85 D-Index: 14 scientists 86 D-Index: 6 scientists 87 D-Index: 14 scientists 88 D-Index: 17 scientists 89 D-Index: 10 scientists 90 D-Index: 8 scientists 91 D-Index: 8 scientists 92 D-Index: 9 scientists 93 D-Index: 6 scientists 94+ D-Index: 98 scientists
30 D-Index 94+

This scientist: 97 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 94 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Earth Science in Korea Leader Award
  • 2025 - Research.com Earth Science in Korea Leader Award
  • 2022 - Research.com Earth Science in Korea Leader Award

Overview

Saro Lee is affiliated with the Korea Institute of Geoscience and Mineral Resources in South Korea. Their research focuses primarily on environmental science, with a particular emphasis on global and planetary change, management, monitoring, policy, and law, as well as environmental engineering and water science and technology. The body of work covers key themes such as flood risk assessment and management, landslides and related hazards, hydrology and watershed management studies, groundwater and watershed analysis, hydrology and drought analysis, soil erosion and sediment transport, and geochemistry and geologic mapping.

The scientist has published extensively in several academic venues. The most frequent publication venues include:

  • Remote Sensing
  • GEO DATA
  • Geoscience Frontiers
  • Journal of Hydrology
  • Geocarto International

Leading papers authored or co-authored by Saro Lee span topics in natural hazard modeling and hydrology. Recent papers include:

  • "Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran," published in 2020 in Geoscience Frontiers
  • "Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)," published in 2020 in Journal of Hydrology
  • "Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran," published in 2020 in Journal of Hydrology
  • "Urban flood modeling using deep-learning approaches in Seoul, South Korea," published in 2021 in Journal of Hydrology
  • "Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer," published in 2020 in Geoscience Frontiers

Frequent collaborators featured in the research network include:

  • Fatemeh Rezaie
  • Mahdi Panahi
  • Alireza Arabameri
  • Sayed M. Bateni
  • Omid Rahmati

The primary research fields and subfields demonstrate a focus on environmental and atmospheric dynamics, particularly how they relate to water resources and geological hazards. Saro Lee's work integrates advanced computational methods including deep learning, convolutional neural networks, and optimization algorithms to address challenges in landslide susceptibility, flood hazard mapping, and groundwater potential assessment at both national and urban scales.

Best Publications

  • Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models

    Saro Lee;Biswajeet Pradhan

  • Statistical analysis of landslide susceptibility at Yongin, Korea

    Saro Lee;Kyungduck Min

  • Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling

    Biswajeet Pradhan;Saro Lee

  • Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data

    S. Lee

  • Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models

    Biswajeet Pradhan;Saro Lee

  • Determination and application of the weights for landslide susceptibility mapping using an artificial neural network

    Saro Lee;Joo Hyung Ryu;Joong Sun Won;Hyuck Jin Park

  • Probabilistic landslide susceptibility and factor effect analysis

    S Lee;Jasmi Abdul Talib

  • Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models

    Saro Lee;Touch Sambath

  • Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia

    Biswajeet Pradhan;Saro Lee

  • GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea

    Hyun-Joo Oh;Yong-Sung Kim;Jong-Kuk Choi;Eungyu Park

  • Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia

    Saro Lee;Biswajeet Pradhan

  • Application of an evidential belief function model in landslide susceptibility mapping

    Omar F. Althuwaynee;Biswajeet Pradhan;Saro Lee

  • Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea

    Sunmin Lee;Jeong-Cheol Kim;Hyung-Sup Jung;Moung Jin Lee

  • Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS

    Mohamad Abd Manap;Haleh Nampak;Biswajeet Pradhan;Saro Lee

  • Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

    Phuong Thao Thi Ngo;Mahdi Panahi;Khabat Khosravi;Omid Ghorbanzadeh

  • Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS

    Jaewon Choi;Hyun-Joo Oh;Hong-Jin Lee;Changwook Lee

  • Flood susceptibility mapping using integrated bivariate and multivariate statistical models

    Mahyat Shafapour Tehrany;Moung Jin Lee;Biswajeet Pradhan;Mustafa Neamah Jebur

  • Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)

    Mahdi Panahi;Nitheshnirmal Sadhasivam;Hamid Reza Pourghasemi;Fatemeh Rezaie

  • Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment

    Maher Ibrahim Sameen;Biswajeet Pradhan;Biswajeet Pradhan;Saro Lee

  • Landslide susceptibility analysis using GIS and artificial neural network

    Saro Lee;Joo Hyung Ryu;Kyungduck Min;Joong Sun Won

  • Application and verification of fuzzy algebraic operators to landslide susceptibility mapping

    Saro Lee

  • Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin, Korea

    Saro Lee;Joo-Hyung Ryu;Ii-Soo Kim

  • Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea

    S. Lee;J. Choi;K. Min

Frequent Co-Authors

Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Joong-Sun Won
Joong-Sun Won Yonsei University
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Himan Shahabi
Himan Shahabi University of Kurdistan
Ataollah Shirzadi
Ataollah Shirzadi University of Kurdistan
Baharin Bin Ahmad
Baharin Bin Ahmad University of Technology Malaysia
Hamid Reza Pourghasemi
Hamid Reza Pourghasemi Shiraz University
Omid Rahmati
Omid Rahmati Agricultural Research Education And Extention Organization
Assefa M. Melesse
Assefa M. Melesse Florida International University
Saskia Keesstra
Saskia Keesstra Wageningen University & Research

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