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Environmental Sciences
Iran
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 78 1097 1041 5 5 160 17406

Himan Shahabi publications per year

The chart shows the history of publications by Himan Shahabi between 2009 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Himan Shahabi published across 17 years, from 2009 to 2025, averaging 10.2 papers a year. Output peaked at 41 publications in 2019. 19 of the 173 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2009 to 2025. Vertical axis: number of publications, 0 to 41. Peak 41 publications in 2019. 2009: 1 publication 2010: 0 publications 2011: 1 publication 2012: 12 publications 2013: 6 publications 2014: 3 publications 2015: 3 publications 2016: 5 publications 2017: 8 publications 2018: 20 publications 2019: 41 publications 2020: 22 publications 2021: 12 publications 2022: 9 publications 2023: 11 publications 2024: 9 publications 2025: 10 publications
2009 2025

173 publications in total across all disciplines

View publications per year as a table
Himan Shahabi: publications per year, 2009 to 2025
Year Publications
2009 1
2010 0
2011 1
2012 12
2013 6
2014 3
2015 3
2016 5
2017 8
2018 20
2019 41
2020 22
2021 12
2022 9
2023 11
2024 9
2025 10
Total 173
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Himan Shahabi 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 Himan Shahabi sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 151–160 publications, is where this scientist sits. 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41–50 publications 690+

This scientist: 160 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133
71–80 257
81–90 361
91–100 440
101–110 492
111–120 541
121–130 617
131–140 544
141–150 541
151–160 539 160
161–170 444
171–180 444
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180
261–270 181
271–280 155
281–290 130
291–300 127
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
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Himan Shahabi 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 Himan Shahabi sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 78 D-Index, is where this scientist sits. 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 78 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206
37 267
38 265
39 275
40 321
41 343
42 305
43 336
44 330
45 348
46 291
47 275
48 272
49 273
50 263
51 232
52 266
53 217
54 198
55 177
56 202
57 204
58 166
59 177
60 166
61 152
62 143
63 150
64 124
65 119
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59 78
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
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Research.com Recognitions

  • 2026 - Research.com Environmental Sciences in Iran Leader Award
  • 2025 - Research.com Environmental Sciences in Iran Leader Award

Overview

Himan Shahabi is affiliated with the University of Kurdistan in Iran and specializes in environmental science, contributing extensively to the field through research predominantly focused on flood risk assessment, landslides, and hydrology.

Their research encompasses several main topics, including:

  • Flood Risk Assessment and Management
  • Landslides and related hazards
  • Hydrology and Watershed Management Studies
  • Tree Root and Stability Studies
  • Cryospheric studies and observations
  • Groundwater and Watershed Analysis
  • Hydrology and Drought Analysis

Shahabi's work is situated largely within the domain of Environmental Science, with particular subfields involving:

  • Global and Planetary Change
  • Environmental Engineering
  • Management, Monitoring, Policy and Law
  • Atmospheric Science
  • Water Science and Technology

Recent published papers include:

  • Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier (2020, Remote Sensing)
  • Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm (2020, Geoscience Frontiers)

Frequent co-authors in Shahabi's research career include:

  • Ataollah Shirzadi
  • Nadhir Al-Ansari
  • Baharin Bin Ahmad
  • Wei Chen

Their works have been published often in venues such as:

  • Remote Sensing
  • International Journal of Environmental Research and Public Health
  • Applied Sciences
  • IEEE Access
  • Sensors

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

  • A novel hybrid artificial intelligence approach for flood susceptibility assessment

    Kamran Chapi;Vijay P. Singh;Ataollah Shirzadi;Himan Shahabi

  • Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment

    Himan Shahabi;Mazlan Hashim

  • Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods.

    Wei Chen;Yang Li;Weifeng Xue;Himan Shahabi

  • Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling

    Wei Chen;Shuai Zhang;Renwei Li;Himan Shahabi

  • Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China.

    Wei Chen;Jianbing Peng;Haoyuan Hong;Haoyuan Hong;Himan Shahabi

  • Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

    Himan Shahabi;Ataollah Shirzadi;Kayvan Ghaderi;Ebrahim Omidvar

  • Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping.

    Hossein Shafizadeh-Moghadam;Roozbeh Valavi;Himan Shahabi;Kamran Chapi

  • Landslide susceptibility mapping at central Zab basin, Iran: a comparison between analytical hierarchy process, frequency ratio and logistic regression models

    Himan Shahabi;Saeed Khezri;Baharin Bin Ahmad;Mazlan Hashim

  • 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

  • Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability

    Abolfazl Jaafari;Eric K. Zenner;Mahdi Panahi;Himan Shahabi

  • Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles

    Wei Chen;Wei Chen;Haoyuan Hong;Haoyuan Hong;Shaojun Li;Himan Shahabi

  • Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility

    Abolfazl Jaafari;Mahdi Panahi;Binh Thai Pham;Himan Shahabi

  • GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method

    Wei Chen;Xiaoshen Xie;Jianbing Peng;Himan Shahabi

  • Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)

    M. Ahmadlou;M. Karimi;S. Alizadeh;A. Shirzadi

  • Shallow landslide susceptibility assessment using a novel hybrid intelligence approach

    Ataollah Shirzadi;Dieu Tien Bui;Binh Thai Pham;Karim Solaimani

  • Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

    Viet-Ha Nhu;Ataollah Shirzadi;Himan Shahabi;Sushant K. Singh

  • Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility

    Wei Chen;Mahdi Panahi;Paraskevas Tsangaratos;Himan Shahabi

  • A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

    Wei Chen;Ataollah Shirzadi;Himan Shahabi;Baharin Bin Ahmad

  • New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

    Dieu Tien Bui;Khabat Khosravi;Shaojun Li;Himan Shahabi

Frequent Co-Authors

Ataollah Shirzadi
Ataollah Shirzadi University of Kurdistan
Baharin Bin Ahmad
Baharin Bin Ahmad University of Technology Malaysia
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Haoyuan Hong
Haoyuan Hong Nanjing University of Information Science and Technology
Nadhir Al-Ansari
Nadhir Al-Ansari Luleå University of Technology
Saro Lee
Saro Lee Korea Institute of Geoscience and Mineral Resources
Omid Rahmati
Omid Rahmati Agricultural Research Education And Extention Organization
John J. Clague
John J. Clague Simon Fraser University
A-Xing Zhu
A-Xing Zhu University of Wisconsin–Madison

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