World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
68
Citations
21485
World Ranking
1192
National Ranking
391

Kristin L. Wood 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 Kristin L. Wood 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: 423 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Kristin L. Wood 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 Kristin L. Wood 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: 68 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2014 - Fellow of the American Society of Mechanical Engineers

Overview

Kristin L. Wood is affiliated with the University of Colorado Denver in the United States. Their research spans multiple domains with a primary focus on Environmental Science and its various subfields.

The main fields of study include:

  • Environmental Science

Within Environmental Science, Wood's subfields of interest cover:

  • Ecology
  • Mechanical Engineering
  • Parasitology
  • Management of Technology and Innovation
  • Artificial Intelligence

Their work addresses a diverse set of topics, which are:

  • Avian ecology and behavior
  • Animal Ecology and Behavior Studies
  • Bird parasitology and diseases
  • Design Education and Practice
  • Wildlife Ecology and Conservation
  • Modular Robots and Swarm Intelligence
  • Manufacturing Process and Optimization

Wood has contributed to several recent papers that cover a range of research areas, including:

  • Hybrid quantum-classical convolutional neural networks (2021, Science China Physics Mechanics and Astronomy)
  • The status, barriers, challenges, and future in design for 4D printing (2021, Materials & Design)
  • Guiding data-driven design ideation by knowledge distance (2021, Knowledge-Based Systems)
  • A Framework for Taxonomy and Evaluation of Self-Reconfigurable Robotic Systems (2020, IEEE Access)
  • Data-Driven Design-By-Analogy: State-of-the-Art and Future Directions (2021, Journal of Mechanical Design)

Frequent co-authors collaborating with Wood are:

  • Regan Berkley
  • Caroline Deppe
  • Paula L. Enríquez
  • Julie L. Petersen
  • José Luis Rangel Salazar

Wood regularly publishes in notable venues including:

  • Birds of the World
  • arXiv (Cornell University)
  • Mathematics
  • Journal of Mechanical Design
  • Journal Of Big Data

In 2014, Wood was recognized as a Fellow of the American Society of Mechanical Engineers.

Best Publications

  • A Functional Basis for Engineering Design: Reconciling and Evolving Previous Efforts

    Julie Hirtz;Robert B. Stone;Daniel A. McAdams;Simon Szykman

  • Development of a Functional Basis for Design

    Robert B. Stone;Kristin L. Wood

  • Product Design: Techniques in Reverse Engineering and New Product Development

    Kevin N. Otto;Kristin L. Wood

  • A heuristic method for identifying modules for product architectures

    Robert B. Stone;Kristin L. Wood;Richard H. Crawford

  • A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty

    J. S. Linsey;I. Tseng;K. Fu;J. Cagan

  • Transforming Energy Networks via Peer-to-Peer Energy Trading: The Potential of Game-Theoretic Approaches

    Wayes Tushar;Chau Yuen;Hamed Mohsenian-Rad;Tapan Saha

  • Product Evolution: A Reverse Engineering and Redesign Methodology

    Kevin N. Otto;Kristin L. Wood

  • Three-Party Energy Management With Distributed Energy Resources in Smart Grid

    Wayes Tushar;Bo Chai;Chau Yuen;David B. Smith

  • On the benefits and pitfalls of analogies for innovative design : Ideation performance based on analogical distance, commonness, and modality of examples

    Joel Chan;Katherine Fu;Christian D. Schunn;Jonathan Cagan

  • An Experimental Study of Group Idea Generation Techniques: Understanding the Roles of Idea Representation and Viewing Methods

    J. S. Linsey;E. F. Clauss;T. Kurtoglu;J. T. Murphy

  • Design prototyping methods: state of the art in strategies, techniques, and guidelines

    Bradley Camburn;Vimal Viswanathan;Julie S. Linsey;David Anderson

  • Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches

    Wayes Tushar;Chau Yuen;Hamed Mohsenian-Rad;Tapan Saha

  • THE MEANING OF "NEAR" AND "FAR": THE IMPACT OF STRUCTURING DESIGN DATABASES AND THE EFFECT OF DISTANCE OF ANALOGY ON DESIGN OUTPUT

    Katherine Fu;Joel Chan;Jonathan Cagan;Kenneth Kotovsky

  • Computer-Based Design Synthesis Research: An Overview

    Amaresh Chakrabarti;Kristina Shea;Robert B. Stone;Jonathan Cagan

  • Feasibility of micro power supplies for MEMS

    P.B. Koeneman;I.J. Busch-Vishniac;K.L. Wood

  • Analogies and metaphors in creative design

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

  • A comparison of creativity and innovation metrics and sample validation through in-class design projects

    Sarah K. Oman;Irem Y. Tumer;Kris Wood;Carolyn Conner Seepersad

  • Computations with Imprecise Parameters in Engineering Design: Background and Theory

    K. L. Wood;E. K. Antonsson

  • Functional Interdependence and Product Similarity Based on Customer Needs

    Daniel A. McAdams;Robert B. Stone;Kristin L. Wood

  • Design by Analogy: A Study of the WordTree Method for Problem Re-Representation

    J. S. Linsey;A. B. Markman;K. L. Wood

  • Modality and representation in analogy

    J. s. Linsey;K. l. Wood;A. b. Markman

Frequent Co-Authors

Kevin Otto
Kevin Otto Aalto University
Julie S. Linsey
Julie S. Linsey Georgia Institute of Technology
Chau Yuen
Chau Yuen Nanyang Technological University
Wayes Tushar
Wayes Tushar University of Queensland
Carolyn Conner Seepersad
Carolyn Conner Seepersad The University of Texas at Austin
Robert Stone
Robert Stone Oregon State University
Arthur B. Markman
Arthur B. Markman The University of Texas at Austin
Raghavan Srinivasan
Raghavan Srinivasan Texas A&M University
Jonathan Cagan
Jonathan Cagan Carnegie Mellon University

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