World's Best Scientists 2026 revealed!
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Indra Prakash
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Earth Science
India
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Earth Science 49 3559 3258 12 10 103 10137

Indra Prakash publications per year

The chart shows the history of publications by Indra Prakash between 1973 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Indra Prakash published across 53 years, from 1973 to 2025, averaging 2.8 papers a year. Output peaked at 23 publications in 2021. 17 of the 150 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1973 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2021. 1973: 1 publication 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 1 publication 1999: 0 publications 2000: 1 publication 2001: 1 publication 2002: 0 publications 2003: 0 publications 2004: 1 publication 2005: 0 publications 2006: 0 publications 2007: 0 publications 2008: 2 publications 2009: 0 publications 2010: 0 publications 2011: 0 publications 2012: 0 publications 2013: 1 publication 2014: 1 publication 2015: 5 publications 2016: 7 publications 2017: 10 publications 2018: 10 publications 2019: 16 publications 2020: 21 publications 2021: 23 publications 2022: 17 publications 2023: 14 publications 2024: 13 publications 2025: 4 publications
1973 2025

150 publications in total across all disciplines

View publications per year as a table
Indra Prakash: publications per year, 1973 to 2025
Year Publications
1973 1
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 1
1994 0
1995 0
1996 0
1997 0
1998 1
1999 0
2000 1
2001 1
2002 0
2003 0
2004 1
2005 0
2006 0
2007 0
2008 2
2009 0
2010 0
2011 0
2012 0
2013 1
2014 1
2015 5
2016 7
2017 10
2018 10
2019 16
2020 21
2021 23
2022 17
2023 14
2024 13
2025 4
Total 150
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Indra Prakash 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 Indra Prakash 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, 98–107 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: 103 publications — 13th percentile

13% 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
98–107 404 103
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
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
Download as CSV

Indra Prakash 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 Indra Prakash 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, 49 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: 49 D-Index — 62nd percentile

62% 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 49
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
98 13
99 3
100 13
101 3
102 9
103 4
104 6
105 6
106+ 98
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Earth Science in India Leader Award

Overview

Indra Prakash is affiliated with the Geological Survey of India in India. Their research spans primarily across the fields of Environmental Science and Engineering, with a focus on subfields including Global and Planetary Change, Civil and Structural Engineering, Management, Monitoring, Policy and Law, Environmental Engineering, and Water Science and Technology.

Prakash's main research topics cover a range of issues related to environmental and geotechnical challenges. These include Flood Risk Assessment and Management, Landslides and related hazards, Dam Engineering and Safety, Fire effects on ecosystems, Hydrology and Watershed Management Studies, Groundwater and Watershed Analysis, and Hydrological Forecasting Using Artificial Intelligence.

Their recent publications highlight work integrating advanced computational methods, particularly machine learning and hybrid artificial intelligence models, applied to environmental and hydrological phenomena. Notable recent papers include:

  • Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil, 2021, Mathematical Problems in Engineering
  • Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction, 2020, Symmetry
  • GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment, 2020, Water
  • Development of advanced artificial intelligence models for daily rainfall prediction, 2020, Atmospheric Research
  • Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam, 2020, Journal of Hydrology

Frequent collaborators of Prakash include:

  • Binh Thai Pham
  • Hiep Van Le
  • Tran Van Phong
  • Nadhir Al-Ansari
  • Mahdis Amiri

Prakash's work has been published extensively in several venues, with multiple contributions to the following journals:

  • Journal of Science and Transport Technology
  • Mathematical Problems in Engineering
  • Geocarto International
  • Vietnam Journal of Earth Sciences
  • Applied Water Science

Best Publications

  • A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran.

    Khabat Khosravi;Binh Thai Pham;Kamran Chapi;Ataollah Shirzadi

  • A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

    Khabat Khosravi;Himan Shahabi;Binh Thai Pham;Jan Adamowski

  • Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS

    Binh Thai Pham;Dieu Tien Bui;Indra Prakash;M.B. Dholakia

  • A comparative study of different machine learning methods for landslide susceptibility assessment

    Binh Thai Pham;Biswajeet Pradhan;Dieu Tien Bui;Indra Prakash

  • Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil

    Quang Hung Nguyen;Hai-Bang Ly;Lanh Si Ho;Nadhir Al-Ansari

  • Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods

    Binh Thai Pham;Dieu Tien Bui;Hamid Reza Pourghasemi;Prakash Indra

  • Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

    Binh Thai Pham;Indra Prakash;Sushant K. Singh;Ataollah Shirzadi

  • Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran

    Saeid Janizadeh;Mohammadtaghi Avand;Abolfazl Jaafari;Tran Van Phong

  • A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

    Binh Thai Pham;Abolfazl Jaafari;Indra Prakash;Dieu Tien Bui

  • Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees

    Binh Thai Pham;Indra Prakash;Dieu Tien Bui

  • GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment

    Binh Thai Pham;Mohammadtaghi Avand;Saeid Janizadeh;Tran Van Phong

  • A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment.

    Khabat Khosravi;Majid Sartaj;Frank T.-C. Tsai;Vijay P. Singh

  • A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil

    Binh Thai Pham;Manh Duc Nguyen;Kien-Trinh Thi Bui;Indra Prakash

  • Development of advanced artificial intelligence models for daily rainfall prediction

    Binh Thai Pham;Lu Minh Le;Tien-Thinh Le;Kien-Trinh Thi Bui

  • A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India

    Binh Thai Pham;Ataollah Shirzadi;Dieu Tien Bui;Indra Prakash

  • Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam

    Unknown

  • A Comparative Study of Least Square Support Vector Machines and Multiclass Alternating Decision Trees for Spatial Prediction of Rainfall-Induced Landslides in a Tropical Cyclones Area

    Binh Thai Pham;Dieu Tien Bui;M. B. Dholakia;Indra Prakash

  • Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping

    Phong Tung Nguyen;Duong Hai Ha;Mohammadtaghi Avand;Abolfazl Jaafari

  • Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis.

    Binh Thai Pham;Manh Duc Nguyen;Dong Van Dao;Indra Prakash

  • Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling

    Vu Viet Nguyen;Binh Thai Pham;Ba Thao Vu;Indra Prakash

  • Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping

    Binh Thai Pham;Trung Nguyen-Thoi;Chongchong Qi;Tran Van Phong

  • Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS

    Binh Thai Pham;Dieu Tien Bui;Indra Prakash;M. B. Dholakia

  • Hybrid computational intelligence models for groundwater potential mapping

    Binh Thai Pham;Abolfazl Jaafari;Indra Prakash;Sushant K. Singh

  • Bagging based Support Vector Machines for spatial prediction of landslides

    Binh Thai Pham;Dieu Tien Bui;Indra Prakash

  • Landslide Susceptibility Assessment Using Bagging Ensemble Based Alternating Decision Trees, Logistic Regression and J48 Decision Trees Methods: A Comparative Study

    Binh Thai Pham;Dieu Tien Bui;Indra Prakash

Frequent Co-Authors

Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Nadhir Al-Ansari
Nadhir Al-Ansari Luleå University of Technology
Ataollah Shirzadi
Ataollah Shirzadi University of Kurdistan
Trung Nguyen-Thoi
Trung Nguyen-Thoi Van Lang University
Himan Shahabi
Himan Shahabi University of Kurdistan
Chongchong Qi
Chongchong Qi Central South University
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Le Hoang Son
Le Hoang Son Vietnam National University, Hanoi
Vijay P. Singh
Vijay P. Singh Texas A&M University
Rabin Chakrabortty
Rabin Chakrabortty Asian Institute of Technology

External Links

Personal website of Indra Prakash

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Related Online Degrees & Career Pathways

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Additionally, programs recognized by authorities such as ala accredited mlis programs provide specialized knowledge in information and data management, essential for handling scientific data and research libraries linked to Earth Science disciplines.

Best Scientists Citing Indra Prakash

Biswajeet Pradhan

Biswajeet Pradhan

University of Technology Sydney

Publications: 135

Dieu Tien Bui

Dieu Tien Bui

University of South-Eastern Norway

Publications: 124

Himan Shahabi

Himan Shahabi

University of Kurdistan

Publications: 63

Haoyuan Hong

Haoyuan Hong

Nanjing University of Information Science and Technology

Publications: 57

Wei Chen

Wei Chen

Zhejiang University

Publications: 54

Ataollah Shirzadi

Ataollah Shirzadi

University of Kurdistan

Publications: 51

Hamid Reza Pourghasemi

Hamid Reza Pourghasemi

Shiraz University

Publications: 43

Nhat-Duc Hoang

Nhat-Duc Hoang

Duy Tan University

Publications: 36

Baharin Bin Ahmad

Baharin Bin Ahmad

University of Technology Malaysia

Publications: 36

Saro Lee

Saro Lee

Korea Institute of Geoscience and Mineral Resources

Publications: 32

Rabin Chakrabortty

Rabin Chakrabortty

Asian Institute of Technology

Publications: 27

Hossein Moayedi

Hossein Moayedi

Duy Tan University

Publications: 26

Omid Rahmati

Omid Rahmati

Agricultural Research Education And Extention Organization

Publications: 24

Thomas Blaschke

Thomas Blaschke

University of Salzburg

Publications: 24

M. Santosh

M. Santosh

China University of Geosciences

Publications: 20

A-Xing Zhu

A-Xing Zhu

University of Wisconsin–Madison

Publications: 18

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