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Hamid Reza Pourghasemi

Hamid Reza Pourghasemi

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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 98 419 395 3 3 339 34265

Hamid Reza Pourghasemi publications per year

The chart shows the history of publications by Hamid Reza Pourghasemi between 2009 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hamid Reza Pourghasemi published across 17 years, from 2009 to 2025, averaging 22.5 papers a year. Output peaked at 56 publications in 2020. 42 of the 383 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2009 to 2025. Vertical axis: number of publications, 0 to 56. Peak 56 publications in 2020. 2009: 1 publication 2010: 2 publications 2011: 1 publication 2012: 5 publications 2013: 8 publications 2014: 8 publications 2015: 16 publications 2016: 20 publications 2017: 19 publications 2018: 26 publications 2019: 55 publications 2020: 56 publications 2021: 53 publications 2022: 53 publications 2023: 18 publications 2024: 25 publications 2025: 17 publications
2009 2025

383 publications in total across all disciplines

View publications per year as a table
Hamid Reza Pourghasemi: publications per year, 2009 to 2025
Year Publications
2009 1
2010 2
2011 1
2012 5
2013 8
2014 8
2015 16
2016 20
2017 19
2018 26
2019 55
2020 56
2021 53
2022 53
2023 18
2024 25
2025 17
Total 383
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Hamid Reza Pourghasemi publications per year - data summary

  • Hamid Reza Pourghasemi, a Environmental Sciences scholar from Shiraz University, has 383 publications recorded across 17 years, from 2009 to 2025.
  • The oldest publication on record dates to 2009 and the most recent to 2025.
  • The most productive year is 2020, with 56 publications.
  • The least productive years with any output are 2009 and 2011, with 1 publication each.
  • The rate of publication averages 22.5 papers per year over the whole span, or 22.5 per year counting only the 17 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 166 publications, 43% of the career total.
  • Split into equal eras - 2009-2014: 25 publications (4.2 per year); 2015-2020: 192 publications (32.0 per year); 2021-2025: 166 publications (33.2 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Hamid Reza Pourghasemi 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 Hamid Reza Pourghasemi 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, 331–340 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: 339 publications — 90th percentile

90% 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
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 80 339
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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Hamid Reza Pourghasemi publication distribution in Environmental Sciences in 2026 - data summary

  • The chart plots the publication count of all 9,676 Environmental Sciences scientists ranked by Research.com in 2026, grouped into 66 ranges running from 41–50 to 690+ publications.
  • Hamid Reza Pourghasemi, a Environmental Sciences scholar from Shiraz University, records 339 publications - the 90th percentile of the discipline.
  • 90% of ranked Environmental Sciences scientists score the same or lower than Hamid Reza Pourghasemi, and about 10% score higher.
  • The median of the discipline falls in the 161–170 publications range, and Hamid Reza Pourghasemi ranks above the median.
  • The most crowded range is 121–130 publications, holding 617 scientists (6% of the field).
  • 67% of the field sits in the lowest quarter of the value range (up to 201–210 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 690 publications or more, 100 scientists in all (1% of the field).

Hamid Reza Pourghasemi 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 Hamid Reza Pourghasemi 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, 98 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: 98 D-Index — 96th percentile

96% 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
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 98
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

Hamid Reza Pourghasemi D-index placement in Environmental Sciences in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 9,676 Environmental Sciences scientists ranked by Research.com in 2026, grouped into 97 ranges running from 30 to 126+ D-Index.
  • Hamid Reza Pourghasemi, a Environmental Sciences scholar from Shiraz University, records 98 D-Index - the 96th percentile of the discipline.
  • 96% of ranked Environmental Sciences scientists score the same or lower than Hamid Reza Pourghasemi, and about 4% score higher.
  • The median of the discipline falls in the 51 D-Index range, and Hamid Reza Pourghasemi ranks above the median.
  • The most crowded range is 45 D-Index, holding 348 scientists (4% of the field).
  • 59% of the field sits in the lowest quarter of the value range (up to 54 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 126 D-Index or more, 92 scientists in all (<1% of the field).

Research.com Recognitions

  • 2026 - Research.com Environmental Sciences in Iran Leader Award
  • 2025 - Research.com Environmental Sciences in Iran Leader Award
  • 2023 - Research.com Environmental Sciences in Iran Leader Award
  • 2022 - Research.com Environmental Sciences in Iran Leader Award

Overview

Hamid Reza Pourghasemi is affiliated with Shiraz University in Iran and specializes in Environmental Science, with a focus on various subfields including Global and Planetary Change, Environmental Engineering, Management, Monitoring, Policy and Law, Ecology, and Soil Science. Their research encompasses a wide range of topics related to environmental hazards and resource management.

The main topics explored by Pourghasemi include:

  • Flood Risk Assessment and Management
  • Landslides and related hazards
  • Soil erosion and sediment transport
  • Groundwater and Watershed Analysis
  • Fire effects on ecosystems
  • Hydrology and Watershed Management Studies
  • Remote Sensing in Agriculture

Frequently publishing in scientific journals, Pourghasemi has contributed to several venues with multiple papers, notably:

  • Natural Hazards (17 publications)
  • Environmental Science and Pollution Research (12 publications)
  • Scientific Reports (10 publications)
  • Research Square (7 publications)
  • Environmental Earth Sciences (6 publications)

Some recent papers include:

  • "Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia" (2020) published in Geoscience Frontiers
  • "Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)" (2020) published in Journal of Hydrology
  • "Assessing and mapping multi-hazard risk susceptibility using a machine learning technique" (2020) published in Scientific Reports
  • "Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms" (2020) published in The Science of The Total Environment
  • "Flooding and its relationship with land cover change, population growth, and road density" (2021) published in Geoscience Frontiers

Collaborations have been established with a number of frequent coauthors, including:

  • John P. Tiefenbacher (33 joint works)
  • Narges Kariminejad (21 joint works)
  • Soheila Pouyan (19 joint works)
  • Marzieh Mokarram (18 joint works)
  • Mohsen Hosseinalizadeh (15 joint works)

Pourghasemi has authored several books published by notable publishers such as Springer Nature and GIScience and geo-environmental modelling. The titles include:

  • "Spatial Modeling in Forest Resources Management" (2020), Springer Nature
  • "Geospatial Technology for Environmental Hazards" (2021), Springer Nature
  • "Spatial Modelling of Flood Risk and Flood Hazards" (2022), GIScience and geo-environmental modelling

Best Publications

  • Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran

    Hamid Reza Pourghasemi;Biswajeet Pradhan;Candan Gokceoglu

  • Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

    Unknown

  • GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran

    Seyed Amir Naghibi;Hamid Reza Pourghasemi;Barnali Dixon

  • Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya

    Krishna Chandra Devkota;Amar Deep Regmi;Hamid Reza Pourghasemi;Kohki Yoshida

  • Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS

    Omid Rahmati;Aliakbar Nazari Samani;Mohamad Mahdavi;Hamid Reza Pourghasemi

  • Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran

    Omid Rahmati;Hamid Reza Pourghasemi;Assefa M. Melesse

  • Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

    Omid Rahmati;Hamid Reza Pourghasemi;Hossein Zeinivand

  • Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran

    Hamid Reza Pourghasemi;Majid Mohammady;Biswajeet Pradhan

  • A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique

    Khabat Khosravi;Ebrahim Nohani;Edris Maroufinia;Hamid Reza Pourghasemi

  • Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya

    Amar Deep Regmi;Krishna Chandra Devkota;Kohki Yoshida;Biswajeet Pradhan

  • Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS

    Yousef Razandi;Hamid Reza Pourghasemi;Najmeh Samani Neisani;Omid Rahmati

  • Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster-Shafer, and weights-of-evidence models

    Majid Mohammady;Hamid Reza Pourghasemi;Biswajeet Pradhan

  • Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms.

    Seyed Vahid Razavi Termeh;Aiding Kornejady;Hamid Reza Pourghasemi;Saskia Keesstra;Saskia Keesstra

  • Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances

    H. R. Pourghasemi;H. R. Moradi;S. M. Fatemi Aghda

  • Prediction of the landslide susceptibility: Which algorithm, which precision?

    Hamid Reza Pourghasemi;Omid Rahmati

  • Landslide susceptibility assessment in Lianhua County (China); a comparison between a random forest data mining technique and bivariate and multivariate statistical models

    Haoyuan Hong;Hamid Reza Pourghasemi;Zohre Sadat Pourtaghi

  • GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

    A. Jaafari;A. Najafi;H. R. Pourghasemi;J. Rezaeian

  • 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 mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia

    Ahmed Mohamed Youssef;Hamid Reza Pourghasemi

  • Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China

    Chao Zhou;Chao Zhou;Kunlong Yin;Ying Cao;Bayes Ahmed

  • Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran

    Hamid Reza Pourghasemi;Abbas Goli Jirandeh;Biswajeet Pradhan;Chong Xu

  • Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling

    Wei Chen;Mahdi Panahi;Hamid Reza Pourghasemi

  • Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran

    Hamid Reza Pourghasemi;Biswajeet Pradhan;Candan Gokceoglu;Majid Mohammadi

  • Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques

    Wei Chen;Hamid Reza Pourghasemi;Aiding Kornejady;Ning Zhang

  • Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms

    Mohammad Zare;Hamid Reza Pourghasemi;Mahdi Vafakhah;Biswajeet Pradhan

  • Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran

    Seyed Amir Naghibi;Hamid Reza Pourghasemi;Zohre Sadat Pourtaghi;Ashkan Rezaei

Frequent Co-Authors

Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Omid Rahmati
Omid Rahmati Agricultural Research Education And Extention Organization
Saskia Keesstra
Saskia Keesstra Wageningen University & Research
M. Santosh
M. Santosh China University of Geosciences
Christian Conoscenti
Christian Conoscenti University of Palermo
Candan Gokceoglu
Candan Gokceoglu Cappadocia University
Thomas Blaschke
Thomas Blaschke University of Salzburg
Saro Lee
Saro Lee Korea Institute of Geoscience and Mineral Resources
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Artemi Cerdà
Artemi Cerdà University of Valencia

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