World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
34
Citations
3034
World Ranking
9303
National Ranking
18

Reza Teimouri 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 Reza Teimouri 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: 81 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Reza Teimouri 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 Reza Teimouri 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: 34 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Overview

Reza Teimouri is affiliated with the Cracow University of Technology in Poland and specializes in engineering, with a strong focus on mechanical engineering and related subfields. Their research spans a range of areas including surface treatment and residual stress, advanced machining processes and optimization, as well as additive manufacturing and laser material processing techniques.

The scientist has contributed to the advancement of knowledge in several key topics. These include:

  • Surface Treatment and Residual Stress
  • Advanced machining processes and optimization
  • Erosion and Abrasive Machining
  • Advanced Machining and Optimization Techniques
  • Additive Manufacturing Materials and Processes
  • Laser Material Processing Techniques
  • Advanced Surface Polishing Techniques

Teimouri's publication record highlights research published in frequently targeted venues such as:

  • International Journal of Lightweight Materials and Manufacture
  • Journal of Manufacturing Processes
  • Measurement
  • Mechanical Systems and Signal Processing
  • Materials

Recent published works include:

  • "Simulation of surface roughness evolution of additively manufactured material fabricated by laser powder bed fusion and post-processed by burnishing," 2022, Journal of Manufacturing Processes
  • "An analytical prediction model for residual stress distribution and plastic deformation depth in ultrasonic-assisted single ball burnishing process," 2020, The International Journal of Advanced Manufacturing Technology
  • "Analytical modeling of surface generation in ultrasonic ball burnishing including effects of indentation pile-up/sink-in and chipping fracture," 2020, Archives of Civil and Mechanical Engineering
  • "Theoretical study including physic-based material model to identify underlying effect of vibration amplitude on residual stress distribution of ultrasonic burnishing process," 2022, Journal of Manufacturing Processes

Teimouri also connects with other researchers through frequent collaboration. Notable coauthors include:

  • Sebastian Skoczypiec
  • Marcin Grabowski
  • Zhanqiang Liu
  • Aydin Jadidi
  • Reza Bagherian Azhiri

Their main field of study is engineering, with a substantial body of work situated in mechanical engineering. Subfields extend into ecological modeling, electrical and electronic engineering, computational mechanics, and biomedical engineering, indicating a broad interdisciplinary interest.

Best Publications

  • Application of Taguchi, ANFIS and grey relational analysis for studying, modeling and optimization of wire EDM process while using gaseous media

    Reza Bagherian Azhiri;Reza Teimouri;Mohammadhosein Ghasemi Baboly;Zayd Leseman

  • Optimization of friction stir welding process of AA7075 aluminum alloy to achieve desirable mechanical properties using ANFIS models and simulated annealing algorithm

    S. Babajanzade Roshan;M. Behboodi Jooibari;R. Teimouri;G. Asgharzadeh-Ahmadi

  • Experimental investigation, intelligent modeling and multi-characteristics optimization of dry WEDM process of Al–SiC metal matrix composite

    Reza Kashiry Fard;Reza Azar Afza;Reza Teimouri

  • Evaluation of optimized surface properties and residual stress in ultrasonic assisted ball burnishing of AA6061-T6

    Reza Teimouri;Saeid Amini;Alireza Bagheri Bami

  • Experimental study of rotary magnetic field-assisted dry EDM with ultrasonic vibration of workpiece

    Reza Teimouri;Hamid Baseri

  • Effects of magnetic field and rotary tool on EDM performance

    Reza Teimouri;Hamid Baseri

  • Parametric study along with selection of optimal solutions in dry wire cut machining of cemented tungsten carbide (WC-Co)

    Ali Vazini Shayan;Reza Azar Afza;Reza Teimouri

  • Experimental studies on ultrasonically assisted friction stir spot welding of AA6061

    Y. Rostamiyan;A. Seidanloo;H. Sohrabpoor;R. Teimouri

  • Potential application of CuSbS 2 as the hole transport material in perovskite solar cell: A simulation study

    Unknown

  • Investigation of lubricant condition and machining parameters while turning of AISI 4340

    Hamed Sohrabpoor;Saeed Parsa Khanghah;Reza Teimouri

  • Study of Tool Wear and Overcut in EDM Process with Rotary Tool and Magnetic Field

    Reza Teimouri;Hamid Baseri

  • Optimization of magnetic field assisted EDM using the continuous ACO algorithm

    R. Teimouri;H. Baseri

  • Analytical modeling of ultrasonic surface burnishing process: Evaluation of through depth localized strain

    Reza Teimouri;Saeid Amini

  • Determining influence of ultrasonic-assisted friction stir welding parameters on mechanical and tribological properties of AA6061 joints

    Masoud Ahmadnia;Amin Seidanloo;Reza Teimouri;Yaser Rostamiyan

  • Analytical modeling of ultrasonic surface burnishing process: Evaluation of residual stress field distribution and strip deflection

    Reza Teimouri;Saeid Amini;Mario Guagliano

  • Experimental investigation and statistical optimization of laser surface cladding parameters

    Javad Marzban;Pouya Ghaseminejad;Mohamad Hasan Ahmadzadeh;Reza Teimouri

  • Friction stir welding of aluminum 6061-T6 in presence of watercooling: Analyzing mechanical properties and residual stress distribution

    Jalal Fathi;Pejman Ebrahimzadeh;Reza Farasati;Reza Teimouri

  • Experimental study and empirical analysis on effect of ultrasonic vibration during rotary turning of aluminum 7075 aerospace alloy

    Reza Teimouri;Saeid Amini;Nasrodin Mohagheghian

  • Forward and backward predictions of the friction stir welding parameters using fuzzy-artificial bee colony-imperialist competitive algorithm systems

    Reza Teimouri;Hamid Baseri

  • Development empirical-intelligent relationship between plasma spray parameters and coating performance of Yttria-Stabilized Zirconia

    Amir Hossein Pakseresht;Ehsan Ghasali;Mehrdad Nejati;Kamyar Shirvanimoghaddam

  • Statistical analysis and multiobjective optimization of process parameters in plasma spraying of partially stabilized zirconia

    Amir Hossein Pakseresht;Amir Hossein Javadi;Mehrdad Nejati;Kamyar Shirvanimoghaddam

  • Improvement of dry EDM process characteristics using artificial soft computing methodologies

    Reza Teimouri;Hamid Baseri

  • Parametric study and multicharacteristic optimization of rotary turning process assisted by longitudinal ultrasonic vibration

    Saeid Amini;Reza Teimouri

  • Artificial evolutionary approaches to produce smoother surface in magnetic abrasive finishing of hardened AISI 52100 steel

    Reza Teimouri;Hamid Baseri

  • Modeling and optimization of spring-back in bending process using multiple regression analysis and neural computation

    Reza Teimouri;Hamid Baseri;Behzad Rahmani;Mohammad Bakhshi-Jooybari

  • Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing electro chemical machining process

    Reza Teimouri;Hamed Sohrabpoor

Frequent Co-Authors

Saeid Amini
Saeid Amini University of Kashan
Zhanqiang Liu
Zhanqiang Liu Shandong University
Mario Guagliano
Mario Guagliano Polytechnic University of Milan

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