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Earth Science
Korea
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Earth Science 97 166 141 1 1 218 29079

Saro Lee publications per year

The chart shows the history of publications by Saro Lee between 2000 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Saro Lee published across 27 years, from 2000 to 2026, averaging 10 papers a year. Output peaked at 29 publications in 2019. 11 of the 270 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2000 to 2026. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2019. 2000: 1 publication 2001: 4 publications 2002: 5 publications 2003: 8 publications 2004: 9 publications 2005: 6 publications 2006: 11 publications 2007: 5 publications 2008: 8 publications 2009: 7 publications 2010: 13 publications 2011: 12 publications 2012: 12 publications 2013: 5 publications 2014: 9 publications 2015: 6 publications 2016: 3 publications 2017: 7 publications 2018: 20 publications 2019: 29 publications 2020: 23 publications 2021: 27 publications 2022: 13 publications 2023: 9 publications 2024: 7 publications 2025: 10 publications 2026: 1 publication
2000 2026

270 publications in total across all disciplines

View publications per year as a table
Saro Lee: publications per year, 2000 to 2026
Year Publications
2000 1
2001 4
2002 5
2003 8
2004 9
2005 6
2006 11
2007 5
2008 8
2009 7
2010 13
2011 12
2012 12
2013 5
2014 9
2015 6
2016 3
2017 7
2018 20
2019 29
2020 23
2021 27
2022 13
2023 9
2024 7
2025 10
2026 1
Total 270
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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.

No. of scientists
100 200 300 400 500
Bar chart with 58 bars. Horizontal axis: publications, 38–47 to 603+. Vertical axis: number of scientists, 0 to 557. Most scientists, 557, have 128–137 publications. The last bar groups every scientist with 603 publications or more. The highlighted bar, 218–227 publications, is where this scientist sits. 38–47 publications: 5 scientists 48–57 publications: 33 scientists 58–67 publications: 94 scientists 68–77 publications: 161 scientists 78–87 publications: 278 scientists 88–97 publications: 376 scientists 98–107 publications: 404 scientists 108–117 publications: 484 scientists 118–127 publications: 540 scientists 128–137 publications: 557 scientists 138–147 publications: 491 scientists 148–157 publications: 495 scientists 158–167 publications: 458 scientists 168–177 publications: 490 scientists 178–187 publications: 414 scientists 188–197 publications: 401 scientists 198–207 publications: 333 scientists 208–217 publications: 292 scientists 218–227 publications: 290 scientists 228–237 publications: 262 scientists 238–247 publications: 243 scientists 248–257 publications: 208 scientists 258–267 publications: 185 scientists 268–277 publications: 147 scientists 278–287 publications: 128 scientists 288–297 publications: 119 scientists 298–307 publications: 120 scientists 308–317 publications: 107 scientists 318–327 publications: 93 scientists 328–337 publications: 87 scientists 338–347 publications: 64 scientists 348–357 publications: 87 scientists 358–367 publications: 60 scientists 368–377 publications: 60 scientists 378–387 publications: 34 scientists 388–397 publications: 50 scientists 398–407 publications: 44 scientists 408–417 publications: 31 scientists 418–427 publications: 39 scientists 428–437 publications: 27 scientists 438–447 publications: 36 scientists 448–457 publications: 27 scientists 458–467 publications: 29 scientists 468–477 publications: 30 scientists 478–487 publications: 19 scientists 488–497 publications: 15 scientists 498–507 publications: 18 scientists 508–517 publications: 19 scientists 518–527 publications: 16 scientists 528–537 publications: 10 scientists 538–547 publications: 11 scientists 548–557 publications: 14 scientists 558–567 publications: 11 scientists 568–577 publications: 7 scientists 578–587 publications: 14 scientists 588–597 publications: 5 scientists 598–602 publications: 4 scientists 603+ publications: 100 scientists
38–47 publications 603+

This scientist: 218 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 603 publications or more.

View publications distribution as a table
Number of Earth Science scientists by publication count, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
Publications Scientists This scientist
38–47 5
48–57 33
58–67 94
68–77 161
78–87 278
88–97 376
98–107 404
108–117 484
118–127 540
128–137 557
138–147 491
148–157 495
158–167 458
168–177 490
178–187 414
188–197 401
198–207 333
208–217 292
218–227 290 218
228–237 262
238–247 243
248–257 208
258–267 185
268–277 147
278–287 128
288–297 119
298–307 120
308–317 107
318–327 93
328–337 87
338–347 64
348–357 87
358–367 60
368–377 60
378–387 34
388–397 50
398–407 44
408–417 31
418–427 39
428–437 27
438–447 36
448–457 27
458–467 29
468–477 30
478–487 19
488–497 15
498–507 18
508–517 19
518–527 16
528–537 10
538–547 11
548–557 14
558–567 11
568–577 7
578–587 14
588–597 5
598–602 4
603+ 100
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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.

No. of scientists
100 200 300
Bar chart with 77 bars. Horizontal axis: D-Index, 30 to 106+. Vertical axis: number of scientists, 0 to 389. Most scientists, 389, have 36 D-Index. The last bar groups every scientist with 106 D-Index or more. The highlighted bar, 97 D-Index, is where this scientist sits. 30 D-Index: 144 scientists 31 D-Index: 215 scientists 32 D-Index: 278 scientists 33 D-Index: 379 scientists 34 D-Index: 366 scientists 35 D-Index: 372 scientists 36 D-Index: 389 scientists 37 D-Index: 366 scientists 38 D-Index: 344 scientists 39 D-Index: 349 scientists 40 D-Index: 296 scientists 41 D-Index: 289 scientists 42 D-Index: 277 scientists 43 D-Index: 279 scientists 44 D-Index: 248 scientists 45 D-Index: 257 scientists 46 D-Index: 212 scientists 47 D-Index: 202 scientists 48 D-Index: 207 scientists 49 D-Index: 204 scientists 50 D-Index: 183 scientists 51 D-Index: 178 scientists 52 D-Index: 182 scientists 53 D-Index: 178 scientists 54 D-Index: 163 scientists 55 D-Index: 117 scientists 56 D-Index: 163 scientists 57 D-Index: 120 scientists 58 D-Index: 113 scientists 59 D-Index: 136 scientists 60 D-Index: 135 scientists 61 D-Index: 96 scientists 62 D-Index: 103 scientists 63 D-Index: 83 scientists 64 D-Index: 103 scientists 65 D-Index: 83 scientists 66 D-Index: 89 scientists 67 D-Index: 92 scientists 68 D-Index: 89 scientists 69 D-Index: 78 scientists 70 D-Index: 75 scientists 71 D-Index: 53 scientists 72 D-Index: 62 scientists 73 D-Index: 54 scientists 74 D-Index: 35 scientists 75 D-Index: 52 scientists 76 D-Index: 50 scientists 77 D-Index: 32 scientists 78 D-Index: 37 scientists 79 D-Index: 20 scientists 80 D-Index: 33 scientists 81 D-Index: 36 scientists 82 D-Index: 34 scientists 83 D-Index: 34 scientists 84 D-Index: 24 scientists 85 D-Index: 19 scientists 86 D-Index: 18 scientists 87 D-Index: 26 scientists 88 D-Index: 30 scientists 89 D-Index: 17 scientists 90 D-Index: 21 scientists 91 D-Index: 19 scientists 92 D-Index: 15 scientists 93 D-Index: 14 scientists 94 D-Index: 20 scientists 95 D-Index: 9 scientists 96 D-Index: 10 scientists 97 D-Index: 15 scientists 98 D-Index: 13 scientists 99 D-Index: 3 scientists 100 D-Index: 13 scientists 101 D-Index: 3 scientists 102 D-Index: 9 scientists 103 D-Index: 4 scientists 104 D-Index: 6 scientists 105 D-Index: 6 scientists 106+ D-Index: 98 scientists
30 D-Index 106+

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 106 D-Index or more.

View D-Index distribution as a table
Number of Earth Science scientists by D-index, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
D-Index Scientists This scientist
30 144
31 215
32 278
33 379
34 366
35 372
36 389
37 366
38 344
39 349
40 296
41 289
42 277
43 279
44 248
45 257
46 212
47 202
48 207
49 204
50 183
51 178
52 182
53 178
54 163
55 117
56 163
57 120
58 113
59 136
60 135
61 96
62 103
63 83
64 103
65 83
66 89
67 92
68 89
69 78
70 75
71 53
72 62
73 54
74 35
75 52
76 50
77 32
78 37
79 20
80 33
81 36
82 34
83 34
84 24
85 19
86 18
87 26
88 30
89 17
90 21
91 19
92 15
93 14
94 20
95 9
96 10
97 15 97
98 13
99 3
100 13
101 3
102 9
103 4
104 6
105 6
106+ 98
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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

  • 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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