World's Best Scientists 2026 revealed!
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Alireza Baghban
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Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 43 544 544 26 26 159 5096
Engineering and Technology 43 6344 6123 90 90 155 4927

Alireza Baghban publications per year

The chart shows the history of publications by Alireza Baghban between 2011 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Alireza Baghban published across 15 years, from 2011 to 2025, averaging 12.1 papers a year. Output peaked at 37 publications in 2019. 20 of the 182 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2011 to 2025. Vertical axis: number of publications, 0 to 37. Peak 37 publications in 2019. 2011: 2 publications 2012: 0 publications 2013: 0 publications 2014: 2 publications 2015: 4 publications 2016: 17 publications 2017: 27 publications 2018: 30 publications 2019: 37 publications 2020: 26 publications 2021: 7 publications 2022: 4 publications 2023: 6 publications 2024: 6 publications 2025: 14 publications
2011 2025

182 publications in total across all disciplines

View publications per year as a table
Alireza Baghban: publications per year, 2011 to 2025
Year Publications
2011 2
2012 0
2013 0
2014 2
2015 4
2016 17
2017 27
2018 30
2019 37
2020 26
2021 7
2022 4
2023 6
2024 6
2025 14
Total 182
Download as CSV

Alireza Baghban publications per year - data summary

  • Alireza Baghban, a Engineering and Technology scholar from Amirkabir University of Technology, has 182 publications recorded across 15 years, from 2011 to 2025.
  • The oldest publication on record dates to 2011 and the most recent to 2025.
  • The most productive year is 2019, with 37 publications.
  • The least productive years with any output are 2011 and 2014, with 2 publications each.
  • 2 of the 15 years in the span carry no publications at all (2012 and 2013).
  • The rate of publication averages 12.1 papers per year over the whole span, or 14.0 per year counting only the 13 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 37 publications, 20% of the career total.
  • Split into equal eras - 2011-2015: 8 publications (1.6 per year); 2016-2020: 137 publications (27.4 per year); 2021-2025: 37 publications (7.4 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Alireza Baghban 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 Alireza Baghban 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, 148–157 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: 155 publications — 29th percentile

29% 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
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457 155
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
Download as CSV

Alireza Baghban publication distribution in Engineering and Technology in 2026 - data summary

  • The chart plots the publication count of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 38–47 to 804+ publications.
  • Alireza Baghban, a Engineering and Technology scholar from Amirkabir University of Technology, records 155 publications - the 29th percentile of the discipline.
  • 29% of ranked Engineering and Technology scientists score the same or lower than Alireza Baghban, and about 71% score higher.
  • The median of the discipline falls in the 198–207 publications range, and Alireza Baghban ranks below the median.
  • The most crowded range is 148–157 publications, holding 457 scientists (5% of the field).
  • 61% of the field sits in the lowest quarter of the value range (up to 228–237 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 804 publications or more, 100 scientists in all (1% of the field).

Alireza Baghban 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 Alireza Baghban 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, 43 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: 43 D-Index — 39th percentile

39% 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
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380 43
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
Download as CSV

Alireza Baghban D-index placement in Engineering and Technology in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 30 to 107+ D-Index.
  • Alireza Baghban, a Engineering and Technology scholar from Amirkabir University of Technology, records 43 D-Index - the 39th percentile of the discipline.
  • 39% of ranked Engineering and Technology scientists score the same or lower than Alireza Baghban, and about 61% score higher.
  • The median of the discipline falls in the 47 D-Index range, and Alireza Baghban ranks below the median.
  • The most crowded range is 42 D-Index, holding 426 scientists (4% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 49 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 107 D-Index or more, 99 scientists in all (1% of the field).

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Alireza Baghban is affiliated with Amirkabir University of Technology in Iran and has contributed to research primarily within the field of Engineering. Their work spans several subfields including Mechanical Engineering, Biomedical Engineering, Materials Chemistry, Renewable Energy, Sustainability and the Environment, and Control and Systems Engineering.

The scientist's research focuses on a range of topics such as Phase Equilibria and Thermodynamics, Metal-Organic Frameworks: Synthesis and Applications, Carbon Dioxide Capture Technologies, Process Optimization and Integration, Advanced Photocatalysis Techniques, Ionic liquids properties and applications, and Gas Sensing Nanomaterials and Sensors.

Frequent coauthors in their publications include Sajjad Habibzadeh, Narjes Nabipour, Amin Esmaeili, Amir Mosavi, and Shahaboddin Shamshirband.

Alireza Baghban has published extensively in several academic venues. The most frequent publication outlets include Scientific Reports, RSC Advances, Engineering Applications of Computational Fluid Mechanics, Environmental Progress & Sustainable Energy, and Applied Surface Science.

Notable recent papers by Alireza Baghban include:

  • Estimation of adsorption capacity of CO2, CH4, and their binary mixtures in Quidam shale using LSSVM: Application in CO2 enhanced shale gas recovery and CO2 storage, 2020, Journal of Natural Gas Science and Engineering
  • Estimating biofuel density via a soft computing approach based on intermolecular interactions, 2020, Renewable Energy
  • An insight into tetracycline photocatalytic degradation by MOFs using the artificial intelligence technique, 2022, Scientific Reports
  • Estimating CO2-Brine diffusivity using hybrid models of ANFIS and evolutionary algorithms, 2020, Engineering Applications of Computational Fluid Mechanics
  • Towards estimation of CO2 adsorption on highly porous MOF-based adsorbents using gaussian process regression approach, 2021, Scientific Reports

Best Publications

  • Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches

    Alireza Baghban;Mohammad Ali Ahmadi;Bahram Hashemi Shahraki

  • Sensitivity analysis and application of machine learning methods to predict the heat transfer performance of CNT/water nanofluid flows through coils

    Alireza Baghban;Mostafa Kahani;Mohammad Alhuyi Nazari;Mohammad Hossein Ahmadi

  • Evaluation of electrical efficiency of photovoltaic thermal solar collector

    Mohammad Hossein Ahmadi;Alireza Baghban;Milad Sadeghzadeh;Mohammad Zamen

  • Rigorous modeling of CO2 equilibrium absorption in ionic liquids

    Alireza Baghban;Amir H. Mohammadi;Amir H. Mohammadi;Mohammad Soodbakhsh Taleghani

  • Estimation of air dew point temperature using computational intelligence schemes

    Alireza Baghban;Mohammad Bahadori;Jake Rozyn;Moonyong Lee

  • Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids

    Alireza Baghban;Ali Jalali;Mojtaba Shafiee;Mohammad Hossein Ahmadi

  • Modeling of cetane number of biodiesel from fatty acid methyl ester (FAME) information using GA-, PSO-, and HGAPSO- LSSVM models

    Amin Bemani;Qingang Xiong;Alireza Baghban;Sajjad Habibzadeh

  • Estimating hydrogen sulfide solubility in ionic liquids using a machine learning approach

    Ali Shafiei;Mohammad Ali Ahmadi;Seyed Hayan Zaheri;Alireza Baghban

  • Phase equilibrium modeling of semi-clathrate hydrates of seven commonly gases in the presence of TBAB ionic liquid promoter based on a low parameter connectionist technique

    Alireza Baghban;Mohammad Ali Ahmadi;Mohammad Ali Ahmadi;Behzad Pouladi;Behnam Amanna

  • Prediction of CO2 loading capacities of aqueous solutions ofabsorbents using different computational schemes

    Alireza Baghban;Alireza Bahadori;Amir H. Mohammadi;Amir H. Mohammadi;Amirreza Behbahaninia

  • An insight into tetracycline photocatalytic degradation by MOFs using the artificial intelligence technique

    Unknown

  • Developing an ANFIS-PSO Model to Predict Mercury Emissions in Combustion Flue Gases

    Shahaboddin Shamshirband;Masoud Hadipoor;Alireza Baghban;Amir Mosavi;Amir Mosavi;Amir Mosavi

  • Experimental, kinetic, and thermodynamic studies of adsorptive desulfurization and denitrogenation of model fuels using novel mesoporous materials.

    Maryam Ahmadi;Mohammad Mohammadian;Mohammad Reza Khosravi-Nikou;Alireza Baghban

  • Estimation of Adsorption Capacity of CO2, CH4, and their Binary Mixtures in Quidam Shale using LSSVM: Application in CO2 Enhanced Shale Gas Recovery and CO2 Storage

    Amin Bemani;Alireza Baghban;Amir H. Mohammadi;Pål Østebø Andersen

  • An insight into the estimation of fatty acid methyl ester based biodiesel properties using a LSSVM model

    Razieh Razavi;Amin Bemani;Alireza Baghban;Amir H. Mohammadi

  • Evolving machine learning models to predict hydrogen sulfide solubility in the presence of various ionic liquids

    Hamid Reza Amedi;Alireza Baghban;Mohammad Ali Ahmadi

  • Prediction viscosity of ionic liquids using a hybrid LSSVM and group contribution method

    Alireza Baghban;Mohammad Navid Kardani;Sajjad Habibzadeh

  • Towards estimation of CO2 adsorption on highly porous MOF-based adsorbents using gaussian process regression approach.

    Majedeh Gheytanzadeh;Alireza Baghban;Sajjad Habibzadeh;Sajjad Habibzadeh;Amin Esmaeili

  • Estimating biofuel density via a soft computing approach based on intermolecular interactions

    Narjes Nabipour;Reza Daneshfar;Omid Rezvanjou;Mohammad Mohammadi-Khanaposhtani

  • Application of ANFIS and LSSVM strategies for estimating thermal conductivity enhancement of metal and metal oxide based nanofluids

    Razieh Razavi;Aida Sabaghmoghadam;Amin Bemani;Alireza Baghban

  • Rigorous prognostication of permeability of heterogeneous carbonate oil reservoirs: Smart modeling and correlation development

    Alireza Rostami;Alireza Baghban;Amir H Mohammadi;Abdolhossein Hemmati-Sarapardeh

  • Evolving connectionist approaches to compute thermal conductivity of TiO2/water nanofluid

    Mohammad Hossein Ahmadi;Alireza Baghban;Milad Sadeghzadeh;Masoud Hadipoor

  • Improved estimation of Cetane number of fatty acid methyl esters (FAMEs) based biodiesels using TLBO-NN and PSO-NN models

    Alireza Baghban;Mohammad Navid Kardani;Amir H. Mohammadi

Frequent Co-Authors

Amir H. Mohammadi
Amir H. Mohammadi University of KwaZulu-Natal
Amir Mosavi
Amir Mosavi Óbuda University
Alireza Bahadori
Alireza Bahadori Southern Cross University
Mohammad Hossein Ahmadi
Mohammad Hossein Ahmadi Shahrood University of Technology
Shahab S. Band
Shahab S. Band National Yunlin University of Science and Technology
Mohammad Ali Ahmadi
Mohammad Ali Ahmadi University of Calgary
Milad Sadeghzadeh
Milad Sadeghzadeh University of Tehran
Moonyong Lee
Moonyong Lee Yeungnam University
Zhien Zhang
Zhien Zhang The Ohio State University
Kwok-wing Chau
Kwok-wing Chau Hong Kong Polytechnic University

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Best Scientists Citing Alireza Baghban

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2027 Exercise Science Degrees Explained: Are They Classified as Professional Degrees?

2027 Exercise Science Degrees Explained: Are They Classified as Professional Degrees?
2027 Best Nurse Practitioner Programs in Texas – Accredited Schools Online & Campus

2027 Best Nurse Practitioner Programs in Texas – Accredited Schools Online & Campus
2027 Easiest Online Energy Policy Degree Programs That Pay Well: High-Salary Degrees with Simple Admissions

2027 Easiest Online Energy Policy Degree Programs That Pay Well: High-Salary Degrees with Simple Admissions