Knowledge Spillover Analysis

Knowledge Spillover Analysis is a systematic research method that identifies and evaluates the unintended transfer of knowledge across organizational, institutional, or geographical boundaries, distinguishing itself by its focus on measuring indirect diffusion and subsequent innovation impacts resulting from such exchanges.

125

Publications

7.1K

Citations

293

Authors

239

Institutions

Publications per year

2017–2026

50

Authors

293

  1. BV
    Bart Verspagen

    United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology, Netherlands

    3 publications · 738 citations

    3

    h-index

  2. RK
    Rajeev K. Goel

    Illinois State University, United States

    2 publications · 73 citations

    2

    h-index

  3. KZ
    Khalid Zaman

    King Saud University, Saudi Arabia

    2 publications · 90 citations

    2

    h-index

  4. DB
    David B. Audretsch

    Indiana University Bloomington, United States

    2 publications · 449 citations

    2

    h-index

  5. JS
    Jochen Streb

    University of Hohenheim, Germany

    2 publications · 65 citations

    2

    h-index

1–5 of 293

Venues

  1. SSRN Electronic Journal

    Repository · 15 publications · 332 citations

    12

    h-index

  2. Research Policy

    4 publications · 685 citations

    4

    h-index

  3. Economics of Innovation and New Technology

    4 publications · 134 citations

    4

    h-index

  4. Scientometrics

    3 publications · 88 citations

    3

    h-index

  5. Contemporary Economic Policy

    3 publications · 143 citations

    3

    h-index

1–5