World's Best Scientists 2026 revealed!
Shankar Chakraborty

Shankar Chakraborty

D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
11622
World Ranking
2516
National Ranking
40

Shankar Chakraborty 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 Shankar Chakraborty 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: 277 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Shankar Chakraborty 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 Shankar Chakraborty 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Shankar Chakraborty is affiliated with Jadavpur University in India and has contributed extensively to the field of Engineering, with a focus on Mechanical Engineering, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Management Science and Operations Research, and Biomedical Engineering.

Their research primarily covers topics such as Advanced Machining and Optimization Techniques, Advanced machining processes and optimization, Manufacturing Process and Optimization, Multi-Criteria Decision Making, Advanced Surface Polishing Techniques, Industrial Vision Systems and Defect Detection, and Metaheuristic Optimization Algorithms Research.

Shankar Chakraborty's recent scholarly output includes several papers with notable publication years and venues:

  • "An integrated D-MARCOS method for supplier selection in an iron and steel industry," 2020, Decision Making Applications in Management and Engineering
  • "Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities," 2020, Expert Systems with Applications
  • "A Scoping Review on the Applications of MCDM Techniques for Parametric Optimization of Machining Processes," 2022, Archives of Computational Methods in Engineering
  • "Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algorithm," 2023, Applied Sciences
  • "A comprehensive and systematic review of multi-criteria decision-making methods and applications in healthcare," 2023, Healthcare Analytics

Frequent co-authors contributing to their work include Partha Protim Das, Prasenjit Chatterjee, Kanak Kalita, Santonab Chakraborty, and Rakesh D. Raut.

The scholar publishes regularly in varied venues, with significant contributions to:

  • International Journal on Interactive Design and Manufacturing (IJIDeM)
  • OPSEARCH
  • AIP conference proceedings
  • Decision Analytics Journal
  • Decision Making Applications in Management and Engineering

In addition to journal publications, Shankar Chakraborty has authored books published by Apple Academic Press eBooks and Springer International Publishing. Notable titles include "Multi-Criteria Decision-Making Methods in Manufacturing Environments" (2023) and "Proceedings of the International Conference on Industrial and Manufacturing Systems (CIMS-2020)" (2021).

Best Publications

  • Applications of the MOORA method for decision making in manufacturing environment

    Shankar Chakraborty

  • Applications of WASPAS Method in Manufacturing Decision Making

    Shankar Chakraborty;Edmundas Kazimieras Zavadskas

  • Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection

    Prasad Karande;Shankar Chakraborty

  • Materials selection using complex proportional assessment and evaluation of mixed data methods

    Prasenjit Chatterjee;Vijay Manikrao Athawale;Shankar Chakraborty

  • Material selection using preferential ranking methods

    Prasenjit Chatterjee;Shankar Chakraborty

  • Selection of materials using compromise ranking and outranking methods

    Prasenjit Chatterjee;Vijay Manikrao Athawale;Shankar Chakraborty

  • Decision making for facility location selection using PROMETHEE II method

    Vijay Manikrao Athawale;Prasenjit Chatterjee;Shankar Chakraborty

  • Selection of industrial robots using compromise ranking and outranking methods

    Prasenjit Chatterjee;Vijay Manikrao Athawale;Shankar Chakraborty

  • Parametric optimization of some non-traditional machining processes using artificial bee colony algorithm

    Suman Samanta;Shankar Chakraborty

  • Design of a material handling equipment selection model using analytic hierarchy process

    Shankar Chakraborty;Debabrata Banik

  • Cutting tool material selection using grey complex proportional assessment method

    Saikat Ranjan Maity;Prasenjit Chatterjee;Shankar Chakraborty

  • A combined TOPSIS-AHP-method-based approach for non-traditional machining processes selection

    N D Chakladar;S Chakraborty

  • A comparative study on the ranking performance of some multi-criteria decision-making methods for industrial robot selection

    Vijay Manikrao Athawale;Shankar Chakraborty

  • A Scoping Review on the Applications of MCDM Techniques for Parametric Optimization of Machining Processes

    Unknown

  • Selection of wire electrical discharge machining process parameters using non-traditional optimization algorithms

    Rajarshi Mukherjee;Shankar Chakraborty;Suman Samanta

  • Recognition of control chart patterns using improved selection of features

    Susanta Kumar Gauri;Shankar Chakraborty

  • A study on the ranking performance of some MCDM methods for industrial robot selection problems

    P. Karande;E. Zavadskas;S. Chakraborty

  • Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algorithm

    Unknown

  • A comparative analysis of VIKOR method and its variants

    Prasenjit Chatterjee;Shankar Chakraborty

  • Feature-based recognition of control chart patterns

    Susanta Kumar Gauri;Shankar Chakraborty

  • QFD-based expert system for non-traditional machining processes selection

    Shankar Chakraborty;Sammilan Dey

  • A Fuzzy-MOORA approach for ERP system selection

    Prasad Karande;Shankar Chakraborty

  • Impact of Halo Doping on the Subthreshold Performance of Deep-Submicrometer CMOS Devices and Circuits for Ultralow Power Analog/Mixed-Signal Applications

    S. Chakraborty;A. Mallik;C.K. Sarkar;V.R. Rao

  • An integrated D-MARCOS method for supplier selection in an iron and steel industry

    Ritwika Chattopadhyay;Santonab Chakraborty;Shankar Chakraborty

Frequent Co-Authors

Prasenjit Chatterjee
Prasenjit Chatterjee Maulana Abul Kalam Azad University of Technology
Dragan Pamučar
Dragan Pamučar University of Belgrade
Edmundas Kazimieras Zavadskas
Edmundas Kazimieras Zavadskas Vilnius Gediminas Technical University

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