World's Best Scientists 2026 revealed!
Danil Yurievich Pimenov

Danil Yurievich Pimenov

Award Badge
Mechanical and Aerospace Engineering
Russia
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
62
Citations
12043
World Ranking
620
National Ranking
2

Danil Yurievich Pimenov publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Danil Yurievich Pimenov sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 114 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 61 scientists 317–326 publications: 69 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 227 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Danil Yurievich Pimenov D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Danil Yurievich Pimenov sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 125 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 106 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 99 scientists
30 D-Index 93+

This scientist: 62 D-Index — 83rd percentile

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

The last bar groups every scientist with 93 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in Russia Leader Award

Best Publications

  • Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review

    Unknown

  • An approach to cleaner production for machining hardened steel using different cooling-lubrication conditions

    Mozammel Mia;Munish Kumar Gupta;Gurraj Singh;Grzegorz Królczyk

  • A state-of-the-art review on tool wear and surface integrity characteristics in machining of superalloys

    Murat Sarıkaya;Munish Kumar Gupta;Italo Tomaz;Danil Yu Pimenov

  • A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends.

    Mustafa Kuntoğlu;Abdullah Aslan;Danil Yurievich Pimenov;Üsame Ali Usca

  • Multi-objective optimization and life cycle assessment of eco-friendly cryogenic N2 assisted turning of Ti-6Al-4V

    Mozammel Mia;Munish Kumar Gupta;Jose Adolfo Lozano;Diego Carou

  • Investigations of Machining Characteristics in the Upgraded MQL-Assisted Turning of Pure Titanium Alloys Using Evolutionary Algorithms

    Gurraj Singh;Catalin Iulian Pruncu;Munish Kumar Gupta;Mozammel Mia

  • Improvement of machinability of Ti and its alloys using cooling-lubrication techniques: a review and future prospect

    Danil Yu. Pimenov;Mozammel Mia;Munish K. Gupta;Munish K. Gupta;Alisson R. Machado;Alisson R. Machado

  • Predicting tool life in turning operations using neural networks and image processing

    T. Mikołajczyk;K. Nowicki;A. Bustillo;D. Yu Pimenov

  • Resource saving by optimization and machining environments for sustainable manufacturing: A review and future prospects

    Unknown

  • Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth

    D. Yu. Pimenov;A. Bustillo;T. Mikolajczyk

  • Review on design and development of cryogenic machining setups for heat resistant alloys and composites

    Navneet Khanna;Chetan Agrawal;Danil Yu Pimenov;Anil Kumar Singla

  • Hybrid cooling-lubrication strategies to improve surface topography and tool wear in sustainable turning of Al 7075-T6 alloy

    Munish Kumar Gupta;Munish Kumar Gupta;Mozammel Mia;GurRaj Singh;Danil Yu Pimenov

  • Application of Measurement Systems in Tool Condition Monitoring of Milling: A Review of measurement science approach

    Unknown

  • Cooling techniques to improve the machinability and sustainability of light-weight alloys: A state-of-the-art review

    Murat Sarikaya;Munish Kumar Gupta;Munish Kumar Gupta;Italo Tomaz;Mohd. Danish

  • A Comprehensive Review of Friction Stir Techniques in Structural Materials and Alloys: Challenges and Trends

    Unknown

  • Sustainable milling of Ti–6Al–4V: A trade-off between energy efficiency, carbon emissions and machining characteristics under MQL and cryogenic environment

    Muhammad Jamil;Wei Zhao;Ning He;Munish Kumar Gupta;Munish Kumar Gupta

  • Surface Modification of Ti-6Al-4V Alloy by Electrical Discharge Coating Process Using Partially Sintered Ti-Nb Electrode.

    Chander Prakash;Sunpreet Singh;Catalin Iulian Pruncu;Vinod Mishra

  • Environment and economic burden of sustainable cooling/lubrication methods in machining of Inconel-800

    Munish Kumar Gupta;Munish Kumar Gupta;Qinghua Song;Zhanqiang Liu;Murat Sarikaya

  • Sustainability assessment associated with surface roughness and power consumption characteristics in nanofluid MQL-assisted turning of AISI 1045 steel

    Adel Taha Abbas;Munish Kumar Gupta;Munish Kumar Gupta;Mahmoud S. Soliman;Mozammel Mia

  • Parametric optimization and process capability analysis for machining of nickel-based superalloy

    Munish Kumar Gupta;Mozammel Mia;Catalin I. Pruncu;Catalin I. Pruncu;Wojciech Kapłonek

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring related online degrees can offer valuable pathways for students interested in mechanical and aerospace engineering. For those considering alternative or complementary career options, programs like the easiest speech pathology programs to get into provide accessible entry points in healthcare fields, highlighting how diverse engineering students' skills can be applied.

Cost is a significant factor when pursuing any degree. Understanding the financial commitments involved is crucial, making resources such as online speech pathology degree programs cost a helpful guide. Mechanical and aerospace engineering students can gain insights into budgeting for education and compare expenses across different disciplines.

Veterans seeking career advancement will find relevant options tailored to their unique needs. Programs like those outlined in speech pathology degree online for veterans show how flexible learning formats support skill development and transition into new roles, a model that engineering education increasingly adopts.

For students aiming to complete their studies more quickly, accelerated speech pathology programs online demonstrate strategies that can be applied in engineering programs as well. Accelerated paths help students enter the workforce faster, an appealing option in fast-evolving fields like aerospace engineering.

Recently Published Articles