World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
34
Citations
4809
World Ranking
2844
National Ranking
76

Prasenjit Chatterjee 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 Prasenjit Chatterjee 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: 88 publications — 4th percentile

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

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

Prasenjit Chatterjee 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 Prasenjit Chatterjee 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: 34 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Prasenjit Chatterjee is affiliated with the Maulana Abul Kalam Azad University of Technology in India. Their research focuses on fields including Engineering, Decision Sciences, and Business, Management and Accounting, with subfields emphasizing Management Science and Operations Research, Strategy and Management, Control and Systems Engineering, Industrial and Manufacturing Engineering, and Electrical and Electronic Engineering.

Their primary research topics include Multi-Criteria Decision Making, Sustainable Supply Chain Management, Optimization and Mathematical Programming, Supply Chain Resilience and Risk Management, Advanced Machining and Optimization Techniques, and Quality Function Deployment in Product Design.

Prasenjit Chatterjee has contributed to multiple publications, including work in journals such as Expert Systems with Applications, Informatica, Reports in Mechanical Engineering, Decision Making Applications in Management and Engineering, and Facta Universitatis Series Mechanical Engineering.

  • An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe (2021), Socio-Economic Planning Sciences
  • Sustainable supplier selection using combined FUCOM - Rough SAW model (2020), Reports in Mechanical Engineering
  • Sensitivity analysis in multi-criteria decision making: A state-of-the-art research perspective using bibliometric analysis (2023), Expert Systems with Applications
  • An interval valued neutrosophic decision-making structure for sustainable supplier selection (2021), Expert Systems with Applications
  • Eliminating Rank Reversal Problem Using a New Multi-Attribute Model-The RAFSI Method (2020), Mathematics

The scientist frequently collaborates with co-authors such as Shankar Chakraborty, Partha Protim Das, Dragan Pamučar, Morteza Yazdani, and Shervin Zakeri.

In addition to journal articles, Prasenjit Chatterjee has authored numerous books, predominantly published by Apple Academic Press eBooks. Notable titles include Multi-Criteria Decision-Making Methods in Manufacturing Environments (2023), Precision Agriculture for Sustainability (2023), Decision-Making Models and Applications in Manufacturing Environments (2023), Applications of Artificial Intelligence in Business and Finance (2021), Electro-Micromachining and Microfabrication (2024), and Optimization Methods for Engineering Problems (2023). Other publishers include Springer Science+Business Media and Springer Nature, with titles like Computational Intelligence for Engineering and Management Applications (2023) and Computational Intelligence for Modern Business Systems (2023).

Best Publications

  • Integrated QFD-MCDM framework for green supplier selection

    Morteza Yazdani;Prasenjit Chatterjee;Edmundas Kazimieras Zavadskas;Sarfaraz Hashemkhani Zolfani

  • Material selection using preferential ranking methods

    Prasenjit Chatterjee;Shankar Chakraborty

  • Selection of industrial robots using compromise ranking and outranking methods

    Prasenjit Chatterjee;Vijay Manikrao Athawale;Shankar Chakraborty

  • Cutting tool material selection using grey complex proportional assessment method

    Saikat Ranjan Maity;Prasenjit Chatterjee;Shankar Chakraborty

  • Sustainable supplier selection using combined FUCOM – Rough SAW model

    Elmina Durmić;Herzegovina

  • A comparative analysis of VIKOR method and its variants

    Prasenjit Chatterjee;Shankar Chakraborty

  • A novel integrated decision-making approach for the evaluation and selection of renewable energy technologies

    Morteza Yazdani;Prasenjit Chatterjee;Edmundas Kazimieras Zavadskas;Dalia Streimikiene

  • Gear Material Selection using Complex Proportional Assessment and Additive Ratio Assessment-based Approaches: A Comparative Study

    Prasenjit Chatterjee;Shankar Chakraborty

  • A NOVEL HYBRID METHOD FOR NON-TRADITIONAL MACHINING PROCESS SELECTION USING FACTOR RELATIONSHIP AND MULTI-ATTRIBUTIVE BORDER APPROXIMATION METHOD

    Prasenjit Chatterjee;Supraksh Mondal;Soumava Boral;Arnab Banerjee

  • A new fuzzy methodology-based structured framework for RAM and risk analysis

    Dilbagh Panchal;Anupam K. Singh;Prasenjit Chatterjee;Edmundas Kazimieras Zavadskas

  • Selection of commercially available alternative passenger vehicle in automotive environment

    Tapas Biswas;Prasenjit Chatterjee;Bikash Choudhuri

  • Evaluating performance of engineering departments in an Indian University using DEMATEL and compromise ranking methods

    Rajeev Ranjan;Prasenjit Chatterjee;Shankar Chakraborty

  • Multi-Criteria Decision-Making Methods in Manufacturing Environments

    Unknown

  • Development of a hybrid meta-model for material selection using design of experiments and EDAS method

    Prasenjit Chatterjee;Arnab Banerjee;Supraksh Mondal;Soumava Boral

  • A TWO-PHASE MODEL FOR SUPPLIER EVALUATION IN MANUFACTURING ENVIRONMENT

    Prasenjit Chatterjee;Željko Stević

  • Selection of industrial robots using compromise ranking method

    Vijay Manikrao Athawale;Prasenjit Chatterjee;Shankar Chakraborty

  • An Integrated DEMATEL–VIKOR Method-Based Approach for Cotton Fibre Selection and Evaluation

    Shankar Chakraborty;Prasenjit Chatterjee;Kanika Prasad

  • Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management

    Edmundas Kazimieras Zavadskas;Jurgita Antucheviciene;Prasenjit Chatterjee

  • Nontraditional machining processes selection using evaluation of mixed data method

    Prasenjit Chatterjee;Shankar Chakraborty

  • An Integrated Methodology for Evaluation of Electric Vehicles Under Sustainable Automotive Environment

    Tapas Kumar Biswas;Željko Stević;Prasenjit Chatterjee;Morteza Yazdani

  • AN INTEGRATED DECISION-MAKING MODEL FOR EFFICIENCY ANALYSIS OF THE FORKLIFTS IN WAREHOUSING SYSTEMS

    Eldina Mahmutagić;Željko Stević;Zdravko Nunić;Prasenjit Chatterjee

  • A comparative study of preference dominance-based approaches for selection of industrial robots

    P. Chatterjee;S. Mondal;S. Chakraborty

  • Intelligent Decision Making Tools in Manufacturing Technology Selection

    Morteza Yazdani;Prasenjit Chatterjee

  • Prediction of Responses in a Sustainable Dry Turning Operation: A Comparative Analysis

    Shibaprasad Bhattacharya;Partha Protim Das;Prasenjit Chatterjee;Shankar Chakraborty

  • Sustainable oil selection for cleaner production in Indian foundry industries: A three phase integrated decision-making framework

    Dilbagh Panchal;Prasenjit Chatterjee;Rohit Sharma;Rajiv Kumar Garg

Frequent Co-Authors

Shankar Chakraborty
Shankar Chakraborty Jadavpur University
Dragan Pamučar
Dragan Pamučar University of Belgrade
Željko Stević
Željko Stević University of East Sarajevo
Edmundas Kazimieras Zavadskas
Edmundas Kazimieras Zavadskas Vilnius Gediminas Technical University
Madjid Tavana
Madjid Tavana La Salle University
Dalia Streimikiene
Dalia Streimikiene Lithuanian Energy Institute
Jurgita Antucheviciene
Jurgita Antucheviciene Vilnius Gediminas Technical University
Fatih Ecer
Fatih Ecer Afyon Kocatepe University

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