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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
43
Citations
5096
World Ranking
544
National Ranking
26

Engineering and Technology

D-Index
43
Citations
4927
World Ranking
6344
National Ranking
90

Alireza Baghban publications per year

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

Alireza Baghban publication distribution in Engineering and Technology in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2027. The highlighted bar marks where Alireza Baghban sits on this spectrum.

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 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.

Alireza Baghban D-index placement in Engineering and Technology in 2027

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2027. The highlighted bar marks where Alireza Baghban sits on this spectrum.

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.

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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