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Mohsen Hajihassani

Mohsen Hajihassani

Urmia University
Iran

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 33 9400 9040 139 139 71 4715

Mohsen Hajihassani publications per year

The chart shows the history of publications by Mohsen Hajihassani between 2011 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mohsen Hajihassani published across 16 years, from 2011 to 2026, averaging 4.8 papers a year. Output peaked at 11 publications in 2015. 6 of the 77 publications appeared in the last two years.

No. of publications
2 4 6 8 10
Bar chart. Horizontal axis: year, 2011 to 2026. Vertical axis: number of publications, 0 to 11. Peak 11 publications in 2015. 2011: 1 publication 2012: 4 publications 2013: 5 publications 2014: 10 publications 2015: 11 publications 2016: 4 publications 2017: 0 publications 2018: 2 publications 2019: 3 publications 2020: 11 publications 2021: 7 publications 2022: 10 publications 2023: 2 publications 2024: 1 publication 2025: 5 publications 2026: 1 publication
2011 2026

77 publications in total across all disciplines

View publications per year as a table
Mohsen Hajihassani: publications per year, 2011 to 2026
Year Publications
2011 1
2012 4
2013 5
2014 10
2015 11
2016 4
2017 0
2018 2
2019 3
2020 11
2021 7
2022 10
2023 2
2024 1
2025 5
2026 1
Total 77
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Mohsen Hajihassani publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Mohsen Hajihassani sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 68–77 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 71 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135 71
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Mohsen Hajihassani D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Mohsen Hajihassani sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 33 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189 33
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
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Overview

Mohsen Hajihassani is affiliated with Urmia University in Iran and has contributed extensively to the field of engineering, with a primary focus on civil and structural engineering. Their scholarly work spans multiple subfields including safety, risk, reliability and quality, ocean engineering, artificial intelligence, and mechanical engineering. The breadth of their research addresses a variety of engineering challenges and applies interdisciplinary approaches.

The scientist's work concentrates particularly on geotechnical engineering and underground structures, as well as geotechnical engineering and analysis. Additional topics of focus include tunneling and rock mechanics, drilling and well engineering, grouting, rheology and soil mechanics, innovative concrete reinforcement materials, and cognitive science and mapping.

Key recent publications by Mohsen Hajihassani include the following:

  • "Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques," 2022, published in Construction and Building Materials
  • "Soft computing-based models for the prediction of masonry compressive strength," 2021, published in Engineering Structures
  • "Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks," 2021, published in Transportation Geotechnics
  • "Genetic prediction of ICU hospitalization and mortality in COVID-19 patients using artificial neural networks," 2022, published in Journal of Cellular and Molecular Medicine
  • "An ANN-Fuzzy Cognitive Map-Based Z-Number Theory to Predict Flyrock Induced by Blasting in Open-Pit Mines," 2022, published in Rock Mechanics and Rock Engineering

Frequent co-authors collaborating with Hajihassani include:

  • Panagiotis G. Asteris
  • Mehdi Kharghani
  • Roohollah Kalatehjari
  • Alireza Rashiddel
  • Shahab Hosseini

The scientist's research has been published repeatedly in specific venues such as:

  • The Open Construction and Building Technology Journal
  • Applied Sciences
  • Transportation Geotechnics
  • Rock Mechanics and Rock Engineering
  • Structures

Best Publications

  • Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

    D. Jahed Armaghani;M. Hajihassani;E. Tonnizam Mohamad;A. Marto

  • Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks

    Ehsan Momeni;Danial Jahed Armaghani;Mohsen Hajihassani;Mohd For Mohd Amin

  • Prediction of seismic slope stability through combination of particle swarm optimization and neural network

    Behrouz Gordan;Danial Jahed Armaghani;Mohsen Hajihassani;Masoud Monjezi

  • Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm

    Mohsen Hajihassani;Danial Jahed Armaghani;Aminaton Marto;Edy Tonnizam Mohamad

  • Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization

    M. Hajihassani;D. Jahed Armaghani;H. Sohaei;E. Tonnizam Mohamad

  • Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques

    Unknown

  • Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach

    Mohsen Hajihassani;Danial Jahed Armaghani;Masoud Monjezi;Edy Tonnizam Mohamad

  • Applications of Particle Swarm Optimization in Geotechnical Engineering: A Comprehensive Review

    R Kalatehjari;M Hajihassani;D Jahed Armaghani

  • A novel approach for blast-induced flyrock prediction based on imperialist competitive algorithm and artificial neural network.

    Aminaton Marto;Mohsen Hajihassani;Danial Jahed Armaghani;Edy Tonnizam Mohamad

  • Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances

    Danial Jahed Armaghani;Edy Tonnizam Mohamad;Mohsen Hajihassani;Saffet Yagiz

  • Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods

    D. Jahed Armaghani;E. Tonnizam Mohamad;M. Hajihassani;S. V. Alavi Nezhad Khalil Abad

  • Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network

    Danial Jahed Armaghani;Mohsen Hajihassani;Behnam Yazdani Bejarbaneh;Aminaton Marto

  • Application of two intelligent systems in predicting environmental impacts of quarry blasting

    Danial Jahed Armaghani;Mohsen Hajihassani;Masoud Monjezi;Edy Tonnizam Mohamad

  • Neuro-fuzzy technique to predict air-overpressure induced by blasting

    Danial Jahed Armaghani;Mohsen Hajihassani;Houman Sohaei;Edy Tonnizam Mohamad

  • Soft computing-based models for the prediction of masonry compressive strength

    Panagiotis G. Asteris;Paulo B. Lourenço;Mohsen Hajihassani;Chrissy-Elpida N. Adami

  • A Gene Expression Programming Model for Predicting Tunnel Convergence

    Mohsen Hajihassani;Shahrum Shah Abdullah;Panagiotis G. Asteris;Danial Jahed Armaghani

  • Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks

    Panagiotis G. Asteris;Anna Mamou;Mohsen Hajihassani;Mahdi Hasanipanah

  • Simulation of blasting-induced air overpressure by means of artificial neural networks

    Edy Tonnizam Mohamad;Mohsen Hajihassani;Daniel Jahed Armaghani;Aminaton Marto

  • Prediction of blast-induced air overpressure: a hybrid AI-based predictive model

    Danial Jahed Armaghani;Mohsen Hajihassani;Aminaton Marto;Roohollah Shirani Faradonbeh

  • Application of reliability-based back-propagation causality-weighted neural networks to estimate air-overpressure due to mine blasting

    Unknown

  • The effects of method of generating circular slip surfaces on determining the critical slip surface by particle swarm optimization

    R. Kalatehjari;Nazri Ali;M. Kholghifard;M. Hajihassani

  • The stability of shallow circular tunnels in soil considering variations in cohesion with depth

    Nima Khezri;Hisham Mohamad;Mohsen HajiHassani;Behzad Fatahi

Frequent Co-Authors

Aminaton Marto
Aminaton Marto University of Technology Malaysia
Danial Jahed Armaghani
Danial Jahed Armaghani University of Technology Sydney
Edy Tonnizam Mohamad
Edy Tonnizam Mohamad University of Technology Malaysia
Panagiotis G. Asteris
Panagiotis G. Asteris School of Pedagogical and Technological Education
Masoud Monjezi
Masoud Monjezi Tarbiat Modares University
Ahmad Safuan A. Rashid
Ahmad Safuan A. Rashid University of Technology Malaysia
Daniel Dias
Daniel Dias Grenoble Alpes University
Mohammadreza Koopialipoor
Mohammadreza Koopialipoor Amirkabir University of Technology
Mahdi Hasanipanah
Mahdi Hasanipanah Duy Tan University
Paulo B. Lourenço
Paulo B. Lourenço University of Minho

External Links

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Best Scientists Citing Mohsen Hajihassani

Danial Jahed Armaghani

Danial Jahed Armaghani

University of Technology Sydney

Publications: 153

Mahdi Hasanipanah

Mahdi Hasanipanah

Duy Tan University

Publications: 61

Mohammadreza Koopialipoor

Mohammadreza Koopialipoor

Amirkabir University of Technology

Publications: 38

Edy Tonnizam Mohamad

Edy Tonnizam Mohamad

University of Technology Malaysia

Publications: 37

Masoud Monjezi

Masoud Monjezi

Tarbiat Modares University

Publications: 32

Panagiotis G. Asteris

Panagiotis G. Asteris

School of Pedagogical and Technological Education

Publications: 32

Mahmood Md. Tahir

Mahmood Md. Tahir

University of Technology Malaysia

Publications: 26

Manoj Khandelwal

Manoj Khandelwal

Federation University Australia

Publications: 20

Hossein Moayedi

Hossein Moayedi

Duy Tan University

Publications: 19

Dieu Tien Bui

Dieu Tien Bui

University of South-Eastern Norway

Publications: 12

Pijush Samui

Pijush Samui

National Institute of Technology Patna

Publications: 11

Muhd Zaimi Abd Majid

Muhd Zaimi Abd Majid

University of Technology Malaysia

Publications: 10

Aminaton Marto

Aminaton Marto

University of Technology Malaysia

Publications: 10

Biswajeet Pradhan

Biswajeet Pradhan

University of Technology Sydney

Publications: 9

Chongchong Qi

Chongchong Qi

Central South University

Publications: 9

Shuihua Wang

Shuihua Wang

Xi’an Jiaotong-Liverpool University

Publications: 9

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