Technology Trend Forecasting

Technology Trend Forecasting is a systematic analytical process that identifies and predicts the evolution of technological developments over time by examining patent data to anticipate emerging innovations, distinguishing it from related analyses through its forward-looking focus on the trajectory and diffusion of technology domains.

308

Publications

18.2K

Citations

672

Authors

331

Institutions

Publications per year

2017–2026

99

Authors

672

  1. SJ
    Sunghae Jun

    Cheongju University, South Korea

    8 publications · 334 citations

    8

    h-index

  2. AL
    Alan L. Porter

    Georgia Institute of Technology, United States

    8 publications · 688 citations

    8

    h-index

  3. TD
    Tuğrul Daim

    Portland State University, United States

    7 publications · 359 citations

    7

    h-index

  4. MC
    Mario Coccia

    National Research Council, Italy

    5 publications · 267 citations

    5

    h-index

  5. JS
    Juneseuk Shin

    Sungkyunkwan University, South Korea

    4 publications · 91 citations

    4

    h-index

1–5 of 672

Venues

  1. Technological Forecasting and Social Change

    58 publications · 4.9K citations

    35

    h-index

  2. foresight

    8 publications · 200 citations

    8

    h-index

  3. World Patent Information

    7 publications · 348 citations

    7

    h-index

  4. Futures

    7 publications · 369 citations

    7

    h-index

  5. Technology Analysis and Strategic Management

    6 publications · 243 citations

    6

    h-index

1–5