World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
72
Citations
18591
World Ranking
342
National Ranking
157

Panos Y. Papalambros 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 Panos Y. Papalambros 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: 484 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Panos Y. Papalambros 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 Panos Y. Papalambros 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: 72 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Panos Y. Papalambros is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans multiple fields related to engineering and management, with a focus on design, technology innovation, and system optimization.

Their scholarly work covers several main fields of study, including:

  • Engineering
  • Business, Management and Accounting

Within these broader fields, their subfields of specialization include:

  • Mechanical Engineering
  • Management of Technology and Innovation
  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research
  • Water Science and Technology

The central topics of their research include:

  • Design Education and Practice
  • Product Development and Customization
  • Innovative Approaches in Technology and Social Development
  • Manufacturing Process and Optimization
  • Water-Energy-Food Nexus Studies
  • Complex Systems and Decision Making
  • Open Source Software Innovations

Among their recent publications are:

  • "Perspectives on design creativity and innovation research: 10 years later" (2022), published in International Journal of Design Creativity and Innovation
  • "Micro Water-Energy-Food (MicroWEF) Nexus: A system design optimization framework for Integrated Natural Resource Conservation and Development (INRCD) projects at community scale" (2023), published in Applied Energy
  • "CROWDSOURCING: A PRIMER AND ITS IMPLICATIONS FOR SYSTEMS ENGINEERING" (2024), published in SAE technical papers on CD-ROM/SAE technical paper series
  • "UNDERSTANDING RESILIENCE OF AGRICULTURAL SYSTEMS: A SYSTEMATIC LITERATURE REVIEW" (2023), published in Proceedings of the Design Society
  • "On the use of coordination strategies in complex engineered system design projects" (2020), published in Design Science

Their frequent co-authors include:

  • Nökkvi S. Sigurdarson
  • Tobias Eifler
  • Emmanuel Wokulira Miyingo
  • Peter Ozaveshe Oviroh
  • Jesse Austin-Breneman

Papanlambros has contributed regularly to notable publication venues such as:

  • Proceedings of the Design Society
  • Journal of Mechanical Design
  • Design Science
  • Proceedings of the Design Society DESIGN Conference
  • International Journal of Vehicle Design

Best Publications

  • Principles of Optimal Design: Modeling and Computation

    Panos Y. Papalambros;Douglass J. Wilde

  • Target Cascading in Optimal System Design

    Hyung Min Kim;Nestor F. Michelena;Panos Y. Papalambros;Tao Jiang

  • Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascading

    Jeremy J. Michalek;Fred M. Feinberg;Panos Y. Papalambros

  • On the coupling between the plant and controller optimization problems

    H.K. Fathy;J.A. Reyer;P.Y. Papalambros;A.G. Ulsov

  • A NOTE ON WEIGHTED CRITERIA METHODS FOR COMPROMISE SOLUTIONS IN MULTI-OBJECTIVE OPTIMIZATION

    Timothy Ward Athan;Panos Y. Papalambros

  • Analytical Target Cascading in Automotive Vehicle Design

    Harrison Hyung Min Kim;D. Geoff Rideout;Panos Y. Papalambros;Jeffrey L. Stein

  • An augmented Lagrangian relaxation for analytical target cascading using the alternating direction method of multipliers

    S. Tosserams;L. F. P. Etman;P. Y. Papalambros;J. E. Rooda

  • Convergence properties of analytical target cascading

    Nestor Michelena;Hyungju Park;Panos Y. Papalambros

  • Architectural layout design optimization

    Jeremy J. Michalek;Ruchi Choudhary;Panos Y. Papalambros

  • A Sequential Linearization Approach for Solving Mixed-Discrete Nonlinear Design Optimization Problems

    Han Tong Loh;Panos Y. Papalambros

  • MULTICRITERIA OPTIMIZATION IN PRODUCT PLATFORM DESIGN

    Sigurd A. Nelson;Matthew B. Parkinson;Panos Y. Papalambros

  • Combined optimisation of design and power management of the hydraulic hybrid propulsion system for the 6 × 6 medium truck

    Z. Filipi;L. Louca;B. Daran;C-C Lin

  • A Survey of Structural Optimization in Mechanical Product Development

    Kazuhiro Saitou;Kazuhiro Izui;Shinji Nishiwaki;Panos Y. Papalambros

  • Balancing Marketing and Manufacturing Objectives in Product Line Design

    Jeremy J. Michalek;Oben Ceryan;Panos Y. Papalambros;Yoram Koren

  • A Study of Fuel Efficiency and Emission Policy Impact on Optimal Vehicle Design Decisions

    Jeremy J. Michalek;Panos Y. Papalambros;Steven J. Skerlos

  • A Hypergraph Framework for Optimal Model-Based Decomposition ofDesign Problems

    Nestor F. Michelena;Panos Y. Papalambros

  • Design Optimization of Hierarchically Decomposed Multilevel Systems Under Uncertainty

    Michael Kokkolaras;Zissimos P. Mourelatos;Panos Y. Papalambros

  • Target cascading in vehicle redesign: a class VI truck study

    Hyung Min Kim;Michael Kokkolaras;Loucas S. Louca;George J. Delagrammatikas

  • Enhancing marketing with engineering: Optimal product line design for heterogeneous markets☆

    Jeremy J. Michalek;Peter Ebbes;Feray Adigüzel;Fred M. Feinberg

  • Probabilistic Analytical Target Cascading: A Moment Matching Formulation for Multilevel Optimization Under Uncertainty

    Huibin Liu;Wei Chen;Michael Kokkolaras;Panos Y. Papalambros

  • Optimization approach to hybrid electric propulsion system design

    D. Assanis;G. Delagrammatikas;R. Fellini;Z. Filipi

  • Comparing time histories for validation of simulation models : Error measures and metrics

    H. Sarin;Michael Kokkolaras;G. Hulbert;Panos Papalambros

  • Preference Inconsistency in Multidisciplinary Design Decision Making

    Erin F. MacDonald;Richard Gonzalez;Panos Y. Papalambros

Frequent Co-Authors

Richard Gonzalez
Richard Gonzalez University of Michigan–Ann Arbor
A. Galip Ulsoy
A. Galip Ulsoy University of Michigan–Ann Arbor
Dennis N. Assanis
Dennis N. Assanis University of Delaware
Jeremy J. Michalek
Jeremy J. Michalek Carnegie Mellon University
John L. Volakis
John L. Volakis Florida International University
Noboru Kikuchi
Noboru Kikuchi University of Michigan–Ann Arbor
Zoran Filipi
Zoran Filipi Clemson University
Jeffrey L. Stein
Jeffrey L. Stein University of Michigan–Ann Arbor
Hosam K. Fathy
Hosam K. Fathy University of Maryland, College Park
Bogdan I. Epureanu
Bogdan I. Epureanu University of Michigan–Ann Arbor

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