World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
15793
World Ranking
4454
National Ranking
1277

Alice M. Agogino 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 Alice M. Agogino 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: 331 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Alice M. Agogino 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 Alice M. Agogino 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: 48 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Overview

Alice M. Agogino is affiliated with the University of California, Berkeley in the United States. Their primary field of study is Engineering, with a focus on several subfields including Mechanical Engineering, Civil and Structural Engineering, Control and Systems Engineering, Strategy and Management, and Biomedical Engineering.

Their research spans multiple topics, particularly:

  • Structural Analysis and Optimization
  • Design Education and Practice
  • Modular Robots and Swarm Intelligence
  • Advanced Materials and Mechanics
  • Sustainable Supply Chain Management
  • Robotic Mechanisms and Dynamics
  • Machine Fault Diagnosis Techniques

Recent publications by Alice M. Agogino include:

  • "Rolling Locomotion of Cable-Driven Soft Spherical Tensegrity Robots," 2020, Soft Robotics
  • "Diagnosing and Predicting Wind Turbine Faults from SCADA Data Using Support Vector Machines," 2020, International Journal of Prognostics and Health Management
  • "User-Centered Design Roadmapping: Anchoring Roadmapping in Customer Value Before Technology Selection," 2020, IEEE Transactions on Engineering Management
  • "Where do professionals find sustainability and innovation value? Empirical tests of three sustainable design methods," 2020, Design Science
  • "Framing and Tracing Human-Centered Design Teams' Method Selection: An Examination of Decision-Making Strategies," 2020, Journal of Mechanical Design

Frequent publication venues include:

  • Proceedings of the Design Society
  • Journal of Mechanical Design
  • arXiv (Cornell University)
  • Soft Robotics
  • International Journal of Prognostics and Health Management

Collaborative work often involves co-authors such as:

  • Adrian Agogino
  • Euiyoung Kim
  • Vivek Rao
  • Kosa Goucher-Lambert
  • Andrew P. Sabelhaus

Best Publications

  • Engineering Design Thinking, Teaching, and Learning

    Clive L. Dym;Alice M. Agogino;Ozgur Eris;Daniel D. Frey

  • Engineering design thinking, teaching, and learning

    C.L. Dynn;A.M. Agogino;O. Eris;D.D. Frey

  • Beyond Bias and Barriers: Fulfilling the Potential of Women in Academic Science and Engineering

    Alice Agogino

  • Chez Panisse: Building an Open Innovation Ecosystem:

    Henry Chesbrough;Sohyeong Kim;Alice Agogino

  • Analogies and metaphors in creative design

    J. Hey;J. Linsey;A. M. Agogino;K. L. Wood

  • A Document Analysis Method for Characterizing Design Team Performance

    Andy Dong;Andrew W. Hill;Alice M. Agogino

  • System design and locomotion of SUPERball, an untethered tensegrity robot

    Andrew P. Sabelhaus;Jonathan Bruce;Ken Caluwaerts;Pavlo Manovi

  • Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly

    Jianlan Luo;Eugen Solowjow;Chengtao Wen;Juan Aparicio Ojea

  • A resonant accelerometer with two-stage microleverage mechanisms fabricated by SOI-MEMS technology

    S.X.P. Su;H.S. Yang;A.M. Agogino

  • Wireless networked lighting systems for optimizing energy savings and user satisfaction

    Yao-Jung Wen;A.M. Agogino

  • Case-based conceptual design information server for concurrent engineering

    William H Wood;Alice M Agogino

  • Insights on Designers’ Sketching Activities in New Product Design Teams

    Shuang Song;Alice M. Agogino

  • Diagnosing wind turbine faults using machine learning techniques applied to operational data

    Kevin Leahy;R. Lily Hu;Ioannis C. Konstantakopoulos;Costas J. Spanos

  • Control of wireless-networked lighting in open-plan offices

    Y.-J. Wen;A.M Agogino

  • An Intelligent Real Time Design Methodology for Component Selection: An Approach to Managing Uncertainty

    S. R. Bradley;A. M. Agogino

  • Text analysis for constructing design representations

    Andy Dong;Alice M. Agogino

  • Soft Spherical Tensegrity Robot Design Using Rod-Centered Actuation and Control

    Lee-Huang Chen;Kyunam Kim;Ellande Tang;Kevin Li

  • Innovative design of mechanical structures from first principles

    Jonathan Cagan;Alice M. Agogino

  • Personalized dynamic design of networked lighting for energy-efficiency in open-plan offices

    Yao-Jung Wen;Alice M. Agogino

  • A methodology for intelligent sensor measurement, validation, fusion, and fault detection for equipment monitoring and diagnostics

    Satnam Alag;Alice M. Agogino;Mahesh Morjaria

Frequent Co-Authors

Kai Goebel
Kai Goebel Palo Alto Research Center
Hideyuki Takagi
Hideyuki Takagi Kyushu University
Jonathan Cagan
Jonathan Cagan Carnegie Mellon University
Larry Leifer
Larry Leifer Stanford University
Björn Hartmann
Björn Hartmann University of California, Berkeley
Costas J. Spanos
Costas J. Spanos University of California, Berkeley
Carlo H. Séquin
Carlo H. Séquin University of California, Berkeley
Pieter Abbeel
Pieter Abbeel University of California, Berkeley
Kristofer S. J. Pister
Kristofer S. J. Pister University of California, Berkeley
Aviv Tamar
Aviv Tamar Technion – Israel Institute of Technology

External Links

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:

Best Scientists Citing Alice M. Agogino

Trending Scientists

Recently Published Articles