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Ataollah Shirzadi

Ataollah Shirzadi

University of Kurdistan
Iran

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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 65 2256 2152 7 7 91 12626

Ataollah Shirzadi publications per year

The chart shows the history of publications by Ataollah Shirzadi between 2011 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ataollah Shirzadi published across 15 years, from 2011 to 2025, averaging 6 papers a year. Output peaked at 28 publications in 2019. 2 of the 90 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2011 to 2025. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2019. 2011: 2 publications 2012: 1 publication 2013: 1 publication 2014: 0 publications 2015: 0 publications 2016: 0 publications 2017: 6 publications 2018: 12 publications 2019: 28 publications 2020: 20 publications 2021: 9 publications 2022: 7 publications 2023: 2 publications 2024: 1 publication 2025: 1 publication
2011 2025

90 publications in total across all disciplines

View publications per year as a table
Ataollah Shirzadi: publications per year, 2011 to 2025
Year Publications
2011 2
2012 1
2013 1
2014 0
2015 0
2016 0
2017 6
2018 12
2019 28
2020 20
2021 9
2022 7
2023 2
2024 1
2025 1
Total 90
Download as CSV

Ataollah Shirzadi 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 Ataollah Shirzadi 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, 91–100 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: 91 publications — 9th percentile

9% 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 91
101–110 492
111–120 541
121–130 617
131–140 544
141–150 541
151–160 539
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
Download as CSV

Ataollah Shirzadi 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 Ataollah Shirzadi 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, 65 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: 65 D-Index — 78th percentile

78% 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 65
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
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
Download as CSV

Research.com Recognitions

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

Overview

Ataollah Shirzadi is affiliated with the University of Kurdistan in Iran and has a research focus primarily within the field of Environmental Science. Their work spans multiple subfields, including Global and Planetary Change, Environmental Engineering, Management, Monitoring, Policy and Law, Water Science and Technology, and Soil Science.

The scientist's research centers on topics related to flood and landslide risk assessment, hydrological forecasting using artificial intelligence, soil erosion and sediment transport, fire effects on ecosystems, hydrology and drought analysis, and watershed management studies.

Key recent papers authored by Ataollah Shirzadi include:

  • Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning (2020, The Science of The Total Environment)
  • Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm (2020, Geoscience Frontiers)
  • Deep learning neural networks for spatially explicit prediction of flash flood probability (2020, Geoscience Frontiers)
  • Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling? (2020, Journal of Hydrology)
  • GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models (2020, Applied Sciences)

Their frequent co-authors include Himan Shahabi, John J. Clague, Binh Thai Pham, Dieu Tien Bui, and Wei Chen.

Shirzadi's work has been published predominantly in venues such as Geoscience Frontiers and Environmental Earth Sciences, with additional contributions appearing in The Science of The Total Environment, Journal of Hydrology, and Applied Sciences.

The research mainly involves applying deep learning and other advanced computational methods to improve prediction and susceptibility mapping for natural hazards like floods and landslides. This suggests a significant focus on integrating machine learning approaches with environmental science challenges.

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

  • Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution.

    Haoyuan Hong;Haoyuan Hong;Mahdi Panahi;Ataollah Shirzadi;Tianwu Ma;Tianwu Ma

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

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

  • Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning

    Jie Dou;Jie Dou;Ali P. Yunus;Abdelaziz Merghadi;Ataollah Shirzadi

  • 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

  • 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

  • Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms

    Qingfeng He;Himan Shahabi;Ataollah Shirzadi;Shaojun Li

  • Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm.

    Yi Wang;Haoyuan Hong;Haoyuan Hong;Wei Chen;Shaojun Li

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

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

  • Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

    Dieu Tien Bui;Khabat Khosravi;Himan Shahabi;Prasad Daggupati

  • 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

  • Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach

    Shaghayegh Miraki;Sasan Hedayati Zanganeh;Kamran Chapi;Vijay P. Singh

  • Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping.

    Ataollah Shirzadi;Karim Soliamani;Mahmood Habibnejhad;Ataollah Kavian

  • Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling

    Wei Chen;Wei Chen;Himan Shahabi;Ataollah Shirzadi;Haoyuan Hong;Haoyuan Hong

  • Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms

    Binh Thai Pham;Ataollah Shirzadi;Himan Shahabi;Ebrahim Omidvar

  • Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods

    Dieu Tien Bui;Mahdi Panahi;Himan Shahabi;Vijay P. Singh

  • Landslide detection and susceptibility mapping by airsar data using support vector machine and index of entropy models in Cameron Highlands, Malaysia

    Dieu Tien Bui;Himan Shahabi;Ataollah Shirzadi;Kamran Chapi

Frequent Co-Authors

Himan Shahabi
Himan Shahabi 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
John J. Clague
John J. Clague Simon Fraser University
Saro Lee
Saro Lee Korea Institute of Geoscience and Mineral Resources
Marten Geertsema
Marten Geertsema University of Northern British Columbia
Indra Prakash
Indra Prakash Geological Survey of India

External Links

Personal website of Ataollah Shirzadi Google Scholar page

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Related Online Degrees & Career Pathways

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These interdisciplinary online degrees support meaningful career pathways that address environmental challenges through educational, social, and policy lenses.

Best Scientists Citing Ataollah Shirzadi

Dieu Tien Bui

Dieu Tien Bui

University of South-Eastern Norway

Publications: 99

Biswajeet Pradhan

Biswajeet Pradhan

University of Technology Sydney

Publications: 85

Hamid Reza Pourghasemi

Hamid Reza Pourghasemi

Shiraz University

Publications: 46

Indra Prakash

Indra Prakash

Geological Survey of India

Publications: 37

Haoyuan Hong

Haoyuan Hong

Nanjing University of Information Science and Technology

Publications: 35

Saro Lee

Saro Lee

Korea Institute of Geoscience and Mineral Resources

Publications: 29

Thomas Blaschke

Thomas Blaschke

University of Salzburg

Publications: 23

Omid Rahmati

Omid Rahmati

Agricultural Research Education And Extention Organization

Publications: 22

Nhat-Duc Hoang

Nhat-Duc Hoang

Duy Tan University

Publications: 22

Hossein Moayedi

Hossein Moayedi

Duy Tan University

Publications: 20

Himan Shahabi

Himan Shahabi

University of Kurdistan

Publications: 17

Omid Ghorbanzadeh

Omid Ghorbanzadeh

University of Salzburg

Publications: 15

Nadhir Al-Ansari

Nadhir Al-Ansari

Luleå University of Technology

Publications: 14

Amir Mosavi

Amir Mosavi

Óbuda University

Publications: 14

A-Xing Zhu

A-Xing Zhu

University of Wisconsin–Madison

Publications: 10

M. Santosh

M. Santosh

China University of Geosciences

Publications: 10

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