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Mechanical and Aerospace Engineering
India
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
56
Citations
9810
World Ranking
870
National Ranking
10

Surjya K. Pal 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 Surjya K. Pal 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: 115 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: 62 scientists 317–326 publications: 70 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: 281 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Surjya K. Pal 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 Surjya K. Pal 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: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 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: 100 scientists
30 D-Index 93+

This scientist: 56 D-Index — 76th percentile

76% 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 India Leader Award
  • 2025 - Research.com Mechanical and Aerospace Engineering in India Leader Award

Overview

Surjya K. Pal is affiliated with the Indian Institute of Technology Kharagpur in India and has a research profile primarily situated within the field of Engineering. Their work spans several subfields including Mechanical Engineering, Industrial and Manufacturing Engineering, Materials Chemistry, Mechanics of Materials, and Electrical and Electronic Engineering.

Their research focuses on a range of topics related to manufacturing processes and materials science. Key topics include:

  • Advanced Welding Techniques Analysis
  • Aluminum Alloys Composites Properties
  • Welding Techniques and Residual Stresses
  • Metal Forming Simulation Techniques
  • Digital Transformation in Industry
  • Aluminum Alloy Microstructure Properties
  • Manufacturing Process and Optimization

Frequent publication venues for Surjya K. Pal's research output include:

  • CIRP Journal of Manufacturing Science and Technology
  • Journal of Manufacturing Processes
  • Materials Chemistry and Physics
  • The International Journal of Advanced Manufacturing Technology
  • Materials and Manufacturing Processes

Surjya K. Pal has collaborated notably with several co-authors, including:

  • Debasish Mishra
  • Debashish Chakravarty
  • Omkar Mypati
  • Arpan Pal
  • Ananta Dutta

The scientist has contributed to multiple recent articles. Representative papers include:

  • "Digital twin: current scenario and a case study on a manufacturing process" (2020, The International Journal of Advanced Manufacturing Technology)
  • "A study on the influence of substrate pre-heating on mitigation of cracks in direct metal laser deposition of NiCrSiBC-60%WC ceramic coating on Inconel 718" (2020, Surface and Coatings Technology)
  • "Real time monitoring and control of friction stir welding process using multiple sensors" (2020, CIRP Journal of Manufacturing Science and Technology)
  • "Characterization of structural transformation of graphene oxide to reduced graphene oxide during thermal annealing" (2020, Journal of Materials Research/Pratt's Guide to Venture Capital Sources)
  • "Characterizations of weld defects, intermetallic compounds and mechanical properties of friction stir lap welded dissimilar alloys" (2020, Materials Characterization)

In addition to journal articles, Surjya K. Pal has authored book publications. Notably, they contributed to a book titled Digital Twin - Fundamental Concepts to Applications in Advanced Manufacturing, published by Springer International Publishing in 2021.

Best Publications

  • Direct growth of aligned carbon nanotubes on bulk metals

    S. Talapatra;S. Kar;S. K. Pal;R. Vajtai

  • Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic algorithm-II

    Debabrata Mandal;Surjya K. Pal;Partha Saha

  • Thermal reduction of graphene oxide: How temperature influences purity

    Iman Sengupta;Samarshi Chakraborty;Monikangkana Talukdar;Surjya K. Pal

  • Application of digital image processing in tool condition monitoring: A review

    S. Dutta;S.K. Pal;S. Mukhopadhyay;R. Sen

  • Effect of Pulse Parameters on Weld Quality in Pulsed Gas Metal Arc Welding: A Review

    Kamal Pal;Surjya K. Pal

  • Bactericidal effect of graphene oxide and reduced graphene oxide: Influence of shape of bacteria

    Iman Sengupta;Proma Bhattacharya;Monikangkana Talukdar;Sudarsan Neogi

  • Artificial neural network modeling of weld joint strength prediction of a pulsed metal inert gas welding process using arc signals

    Sukhomay Pal;Surjya K. Pal;Arun K. Samantaray

  • Influence of plate position, tool offset and tool rotational speed on mechanical properties and microstructures of dissimilar Al/Cu friction stir welding joints

    Prakash Kumar Sahu;Sukhomay Pal;Surjya K. Pal;Rahul Jain

  • A review on sensor based monitoring and control of friction stir welding process and a roadmap to Industry 4.0

    Debasish Mishra;Rohan Basu Roy;Samik Dutta;Surjya K. Pal

  • Flank wear prediction in drilling using back propagation neural network and radial basis function network

    S. S. Panda;D. Chakraborty;S. K. Pal

  • Soft computing models based prediction of cutting speed and surface roughness in wire electro-discharge machining of tungsten carbide cobalt composite

    Probir Saha;Abhijit Singha;Surjya K. Pal;Partha Saha

  • A study on the variation of forces and temperature in a friction stir welding process: A finite element approach

    Rahul Jain;Surjya K. Pal;Shiv B. Singh

  • Surface roughness prediction in turning using artificial neural network

    Unknown

  • Detection of tool condition from the turned surface images using an accurate grey level co-occurrence technique

    S. Dutta;A. Datta;N. Das Chakladar;S.K. Pal

  • Friction stir processing of Al6061-SiC-graphite hybrid surface composites

    Abhishek Sharma;Vyas Mani Sharma;Sanchit Mewar;Surjya Kanta Pal

  • Classification and identification of surface defects in friction stir welding: An image processing approach

    Ravi Ranjan;Aaquib Reza Khan;Chirag Parikh;Rahul Jain

  • On-machine tool prediction of flank wear from machined surface images using texture analyses and support vector regression

    Samik Dutta;Surjya K. Pal;Ranjan Sen

  • Investigation on arc sound and metal transfer modes for on-line monitoring in pulsed gas metal arc welding

    Kamal Pal;Sandip Bhattacharya;Surjya K. Pal

  • Modeling of defects in friction stir welding using coupled Eulerian and Lagrangian method

    Prashant Chauhan;Rahul Jain;Surjya K. Pal;Shiv B. Singh

  • Drill wear monitoring using back propagation neural network

    S.S. Panda;A.K. Singh;D. Chakraborty;S.K. Pal

  • Digital twin: current scenario and a case study on a manufacturing process

    Rohan Basu Roy;Debasish Mishra;Surjya K. Pal;Tapas Chakravarty

  • Silicon—a new substrate for GaN growth

    S. Pal;C. Jacob

  • Predicting drill wear using an artificial neural network

    A.K. Singh;S.S. Panda;D. Chakraborty;S.K. Pal

Frequent Co-Authors

Sudipto Chakraborty
Sudipto Chakraborty Georgia Institute of Technology
Arun Kumar Samantaray
Arun Kumar Samantaray Indian Institute of Technology Kharagpur
Karali Patra
Karali Patra Indian Institute of Technology Patna
Sushanta Kumar Panda
Sushanta Kumar Panda Indian Institute of Technology Kharagpur
Derek A. Linkens
Derek A. Linkens University of Sheffield
Karabi Das
Karabi Das Indian Institute of Technology Kharagpur
Jyotsna Dutta Majumdar
Jyotsna Dutta Majumdar Indian Institute of Technology Kharagpur
Esther T. Akinlabi
Esther T. Akinlabi University of Johannesburg
Sudip Misra
Sudip Misra Indian Institute of Technology Kharagpur
Ajoy Kumar Ray
Ajoy Kumar Ray Indian Institute of Technology Kharagpur

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