Development Optimization

Development Optimization is a prescriptive human resource analytics framework that systematically identifies, prioritizes, and enhances individual and organizational learning interventions by aligning workforce development strategies with strategic business objectives through data-driven decision models.

42

Publications

1.3K

Citations

157

Authors

53

Institutions

Publications per year

2017–2026

23

Authors

157

  1. ML
    Michael Litvak

    BP (United Kingdom), United Kingdom

    4 publications · 98 citations

    4

    h-index

  2. PA
    Patrick Angert

    University of Pittsburgh, United States

    3 publications · 82 citations

    3

    h-index

  3. LJ
    Louis J. Durlofsky

    Stanford University, United States

    3 publications · 79 citations

    3

    h-index

  4. AA
    Abeeb A. Awotunde

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    2 publications · 52 citations

    2

    h-index

  5. ST
    Shusei Tanaka

    Chevron (Netherlands), Netherlands

    2 publications · 68 citations

    2

    h-index

1–5 of 157

Venues

  1. Journal of Petroleum Science and Engineering

    3 publications · 73 citations

    3

    h-index

  2. Computational Geosciences

    3 publications · 62 citations

    3

    h-index

  3. Petroleum Exploration and Development

    2 publications · 29 citations

    2

    h-index

  4. SPE Russian Oil and Gas Technical Conference and Exhibition

    Conference · 1 publications · 16 citations

    1

    h-index

  5. Information Age archive

    1 publications · 38 citations

    1

    h-index

1–5