World's Best Scientists 2026 revealed!
Award Badge
Mechanical and Aerospace Engineering
India
2023

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
47
Citations
7962
World Ranking
1377
National Ranking
548

Ranjan Ganguli 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 Ranjan Ganguli 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: 340 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Ranjan Ganguli 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 Ranjan Ganguli 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: 47 D-Index — 61st percentile

61% 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

  • 2023 - Research.com Mechanical and Aerospace Engineering in India Leader Award
  • 2022 - Research.com Mechanical and Aerospace Engineering in India Leader Award
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)

Overview

Ranjan Ganguli is affiliated with the Indian Institute of Science in India. Their research primarily spans the fields of Engineering and Decision Sciences, with significant focus on subfields such as Civil and Structural Engineering, Statistics, Probability and Uncertainty, Mechanics of Materials, Aerospace Engineering, and Industrial and Manufacturing Engineering.

The scientist's work covers a range of specific topics, including:

  • Structural Health Monitoring Techniques
  • Probabilistic and Robust Engineering Design
  • Advanced Multi-Objective Optimization Algorithms
  • Digital Transformation in Industry
  • Acoustic Wave Phenomena Research
  • Composite Structure Analysis and Optimization
  • Ultrasonics and Acoustic Wave Propagation

Among recent publications, notable papers include:

  • "Aerodynamic behavior of a transonic axial flow compressor stage with self-recirculating casing treatment," 2021, Aerospace Science and Technology
  • "Multi-fidelity analysis and uncertainty quantification of beam vibration using co-kriging interpolation method," 2021, Applied Mathematics and Computation
  • "Reliability based and robust design optimization of truss and composite plate using particle swarm optimization," 2020, Mechanics of Advanced Materials and Structures
  • "Stochastic strain and stress computation of a higher-order sandwich beam using hybrid stochastic time domain spectral element method," 2020, Mechanics of Advanced Materials and Structures
  • "Aeroelastic Aspects of Axial Compressor Stage With Self-Recirculating Casing Treatment," 2021, Journal of Turbomachinery

Frequent coauthors contributing to the body of work alongside Ganguli include:

  • Souvik Chakraborty
  • Sondipon Adhikari
  • Mrittika Ganguli
  • Himanshu Sharma
  • Shuvajit Mukherjee

Ganguli's research has been published in a variety of venues, with multiple contributions to:

  • International Journal for Computational Methods in Engineering Science and Mechanics
  • Journal of Aerospace Sciences and Technologies
  • Mechanics of Advanced Materials and Structures
  • Acta Mechanica
  • Aerospace Science and Technology

Recognition for Ganguli's work includes a fellowship with the Indian National Academy of Engineering (INAE).

Best Publications

  • The Use of Kalman Filter and Neural Network Methodologies in Gas Turbine Performance Diagnostics: A Comparative Study

    A. J. Volponi;H. DePold;R. Ganguli;C. Daguang

  • Application of Fuzzy Logic for Fault Isolation of Jet Engines

    Ranjan Ganguli

  • Damage assessment of structures with uncertainty by using mode-shape curvatures and fuzzy logic

    M. Chandrashekhar;Ranjan Ganguli

  • Strength design of composite beam using gradient and particle swarm optimization

    R Kathiravan;Ranjan Ganguli

  • Genetic fuzzy system for damage detection in beams and helicopter rotor blades

    Prashant M. Pawar;Ranjan Ganguli

  • Free vibration and wave propagation analysis of uniform and tapered rotating beams using spectrally formulated finite elements

    K.G. Vinod;S. Gopalakrishnan;Ranjan Ganguli

  • Structural damage detection using fuzzy cognitive maps and Hebbian learning

    P. Beena;Ranjan Ganguli

  • Survey of Recent Developments in Rotorcraft Design Optimization

    Ranjan Ganguli

  • Identification of crack location and depth in a cantilever beam using a modular neural network approach

    S Suresh;S N Omkar;Ranjan Ganguli;V Mani

  • Design optimization of composites using genetic algorithms and failure mechanism based failure criterion

    G. Narayana Naik;S. Gopalakrishnan;Ranjan Ganguli

  • Uncertainty handling in structural damage detection using fuzzy logic and probabilistic simulation

    M. Chandrashekhar;Ranjan Ganguli

  • Monitoring low cycle fatigue damage in turbine blade using vibration characteristics

    Sandeep Kumar;Niranjan Roy;Ranjan Ganguli

  • New rational interpolation functions for finite element analysis of rotating beams

    Jagadish Babu Gunda;Ranjan Ganguli

  • OPTIMUM DESIGN OF A HELICOPTER ROTOR FOR LOW VIBRATION USING AEROELASTIC ANALYSIS AND RESPONSE SURFACE METHODS

    R. Ganguli

  • Modeling and compensation of piezoceramic actuator hysteresis for helicopter vibration control

    S.R. Viswamurthy;Ranjan Ganguli

  • Closed-form solutions for axially functionally graded Timoshenko beams having uniform cross-section and fixed-fixed boundary condition

    Korak Sarkar;Ranjan Ganguli

  • A Fuzzy Logic System for Ground Based Structural Health Monitoring of a Helicopter Rotor Using Modal Data

    Ranjan Ganguli

  • Structural damage detection in a helicopter rotor blade using radial basis function neural networks

    R Roopesh Kumar Reddy;Ranjan Ganguli

  • Helicopter rotor blade frequency evolution with damage growth and signal processing

    Niranjan Roy;Ranjan Ganguli

  • Genetic fuzzy system for online structural health monitoring of composite helicopter rotor blades

    Prashant M. Pawar;Ranjan Ganguli

Frequent Co-Authors

Srinivasan Gopalakrishnan
Srinivasan Gopalakrishnan Indian Institute of Science
Inderjit Chopra
Inderjit Chopra University of Maryland, College Park
Sundaram Suresh
Sundaram Suresh Indian Institute of Science
Isaac Elishakoff
Isaac Elishakoff Florida Atlantic University
Giridhar Madras
Giridhar Madras Indian Institute of Technology Hyderabad
Stanislav N. Gorb
Stanislav N. Gorb Kiel University
Peretz P. Friedmann
Peretz P. Friedmann University of Michigan–Ann Arbor
Sondipon Adhikari
Sondipon Adhikari University of Glasgow
Erasmo Carrera
Erasmo Carrera Polytechnic University of Turin
Maria Cinefra
Maria Cinefra Polytechnic University of Bari

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

For students exploring Mechanical and Aerospace Engineering, considering related online degrees can broaden career options and skill sets. For example, programs like an online speech pathology degree for military veterans showcase how specialized disciplines offer flexible learning paths tailored to unique populations.

Accelerated degree options, such as the 5-year speech pathology programs, illustrate how students can fast-track their education, gaining skills efficiently while maintaining academic rigor. This concept applies across engineering fields where advanced certifications may complement traditional degrees.

For those interested in interdisciplinary roles, learning about how to become a profiler highlights the importance of combining technical knowledge with behavioral analysis, valuable in fields like defense and aerospace security.

Moreover, exploring the type of counselors available can inspire engineering students to incorporate human factors and ergonomic design within their careers, emphasizing the human-centered side of technology development.

Best Scientists Citing Ranjan Ganguli

Trending Scientists

Recently Published Articles