World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
63
Citations
17349
World Ranking
1735
National Ranking
560

Nima Shamsaei 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 Nima Shamsaei 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: 290 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Nima Shamsaei 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 Nima Shamsaei 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: 63 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Nima Shamsaei is affiliated with Auburn University in the United States and has contributed extensively to the field of engineering, particularly within mechanical engineering, automotive engineering, materials chemistry, industrial and manufacturing engineering, and biomedical engineering.

The scientist's research focuses predominantly on additive manufacturing, with a strong emphasis on materials and processes involved in the field. Other main topics of work include welding techniques and residual stresses, high entropy alloys studies, titanium alloys microstructure and properties, manufacturing process and optimization, and bone tissue engineering materials.

Frequent publication venues where the scientist's work appears encompass:

  • International Journal of Fatigue
  • Additive Manufacturing
  • Materials Science and Engineering A
  • Additive Manufacturing Letters
  • Fatigue & Fracture of Engineering Materials & Structures

Notable recent papers authored or co-authored by Nima Shamsaei include:

  • Defects and anomalies in powder bed fusion metal additive manufacturing, 2022, Current Opinion in Solid State and Materials Science
  • Additive manufacturing of nickel-based superalloys: A state-of-the-art review on process-structure-defect-property relationship, 2023, Progress in Materials Science
  • Feature-based volumetric defect classification in metal additive manufacturing, 2022, Nature Communications
  • A comparative investigation on the microstructure and mechanical properties of additively manufactured aluminum alloys, 2021, International Journal of Fatigue
  • Fatigue behavior and modeling for additive manufactured 304L stainless steel: The effect of surface roughness, 2020, International Journal of Fatigue

The scientist frequently collaborates with several researchers, including:

  • Shuai Shao
  • Seung-Jong Lee
  • Jonathan Pegues
  • Paul Gradl

Across their career, Nima Shamsaei has contributed to more than 300 publications within the broader field of engineering, with mechanical engineering representing the largest share. These works advance the understanding of additive manufacturing materials and processes and explore relevant challenges in manufacturing technologies and material performance.

Best Publications

  • An overview of Direct Laser Deposition for additive manufacturing; Part I: Transport phenomena, modeling and diagnostics

    Scott M. Thompson;Linkan Bian;Nima Shamsaei;Aref Yadollahi

  • An overview of Direct Laser Deposition for additive manufacturing; Part II: Mechanical behavior, process parameter optimization and control

    Nima Shamsaei;Aref Yadollahi;Linkan Bian;Scott M. Thompson

  • Additive manufacturing of fatigue resistant materials: Challenges and opportunities

    Aref Yadollahi;Nima Shamsaei

  • Effects of process time interval and heat treatment on the mechanical and microstructural properties of direct laser deposited 316L stainless steel

    Aref Yadollahi;Nima Shamsaei;Scott M. Thompson;Denver W. Seely

  • Effects of building orientation and heat treatment on fatigue behavior of selective laser melted 17-4 PH stainless steel

    Aref Yadollahi;Nima Shamsaei;Scott M. Thompson;Alaa Elwany

  • Defects and anomalies in powder bed fusion metal additive manufacturing

    Unknown

  • Multiaxial fatigue: An overview and some approximation models for life estimation

    Ali Fatemi;Nima Shamsaei

  • Progress Towards Metal Additive Manufacturing Standardization to Support Qualification and Certification

    Mohsen Seifi;Michael Gorelik;Jess Waller;Nik Hrabe

  • Additive Manufacturing of Nickel-based superalloys: a state-of-the-art review on process-structure-defect-property relationship

    Unknown

  • Fatigue behavior and failure mechanisms of direct laser deposited Ti–6Al–4V

    Amanda J. Sterling;Brian Torries;Nima Shamsaei;Scott M. Thompson

  • Surface roughness effects on the fatigue strength of additively manufactured Ti-6Al-4V

    Jonathan Pegues;Michael Roach;R. Scott Williamson;Nima Shamsaei

  • Multiaxial fatigue behavior of wrought and additive manufactured Ti-6Al-4V including surface finish effect

    Ali Fatemi;Reza Molaei;Shahriar Sharifimehr;Nam Phan

  • Fatigue of additive manufactured Ti-6Al-4V, Part II: The relationship between microstructure, material cyclic properties, and component performance

    R. Molaei;A. Fatemi;A. Fatemi;N. Sanaei;J. Pegues

  • Fatigue behavior of additive manufactured 316L stainless steel parts: Effects of layer orientation and surface roughness

    Rakish Shrestha;Jutima Simsiriwong;Nima Shamsaei

  • Fatigue of Nitinol: The state-of-the-art and ongoing challenges.

    M.J. Mahtabi;Nima Shamsaei;M.R. Mitchell

  • Fatigue of additive manufactured Ti-6Al-4V, Part I: The effects of powder feedstock, manufacturing, and post-process conditions on the resulting microstructure and defects

    J.W. Pegues;S. Shao;N. Shamsaei;N. Sanaei

  • Additive manufacturing of heat exchangers: A case study on a multi-layered Ti–6Al–4V oscillating heat pipe

    Scott M. Thompson;Zachary S. Aspin;Nima Shamsaei;Alaa Elwany

  • Multiaxial fatigue of titanium including step loading and load path alteration and sequence effects

    Nima Shamsaei;Maksym Gladskyi;Kostyantyn Panasovskyi;Sergiy Shukaev

  • Mechanical properties and microstructural characterization of selective laser melted 17-4 PH stainless steel

    Mohamad Mahmoudi;Alaa Elwany;Aref Yadollahi;Scott M. Thompson

  • Laser powder bed fusion of Ti-6Al-4V parts: Thermal modeling and mechanical implications

    Mohammad Masoomi;Scott M. Thompson;Nima Shamsaei

  • Fatigue behaviour of additive manufactured materials: An overview of some recent experimental studies on Ti-6Al-4V considering various processing and loading direction effects

    Ali Fatemi;Reza Molaei;Jutima Simsiriwong;Niloofar Sanaei

  • Mechanical Properties and Microstructural Features of Direct Laser-Deposited Ti-6Al-4V

    Linkan Bian;Scott M. Thompson;Nima Shamsaei

  • High cycle fatigue behavior and life prediction for additively manufactured 17-4 PH stainless steel: Effect of sub-surface porosity and surface roughness

    Simone Romano;P.D. Nezhadfar;Nima Shamsaei;Mohsen Seifi;Mohsen Seifi

  • Additive manufacturing of biomedical implants: A feasibility assessment via supply-chain cost analysis

    Adindu Emelogu;Mohammad Marufuzzaman;Scott M. Thompson;Nima Shamsaei

  • Effect of hardness on multiaxial fatigue behaviour and some simple approximations for steels

    N. Shamsaei;A. Fatemi

Frequent Co-Authors

Shuai Shao
Shuai Shao Auburn University
Linkan Bian
Linkan Bian Mississippi State University
Ali Fatemi
Ali Fatemi University of Memphis
Michael M. Khonsari
Michael M. Khonsari Louisiana State University
Hussein M. Zbib
Hussein M. Zbib Washington State University
Reza Naghdabadi
Reza Naghdabadi Sharif University of Technology
Darrell F. Socie
Darrell F. Socie University of Illinois at Urbana-Champaign
Jian Wang
Jian Wang University of Nebraska–Lincoln
John J. Lewandowski
John J. Lewandowski Case Western Reserve University
Stefano Beretta
Stefano Beretta Polytechnic University of Milan

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