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
42
Deep Reinforcement Learning for Generalizable Field Development Optimization
Jincong He, Meng Tang, Chaoshun Hu et al. · SPE Journal · 2021 · 55 citations
1–5 of 42
157
4
h-index
3
h-index
3
h-index
King Fahd University of Petroleum and Minerals, Saudi Arabia
2 publications · 52 citations
2
h-index
2
h-index
1–5 of 157
53
Stanford University
Stanford, United States
5 h-index
10 publications
352 citations
Seoul National University
Seoul, South Korea
3 h-index
7 publications
124 citations
BP (United Kingdom)
London, United Kingdom
2 h-index
3 publications
92 citations
Research Institute of Petroleum Exploration and Development
Beijing, China
2 h-index
9 publications
120 citations
Shell (Netherlands)
The Hague, The Netherlands
2 h-index
8 publications
149 citations
Chevron (Netherlands)
Rotterdam, Netherlands
2 h-index
7 publications
82 citations

King Fahd University of Petroleum and Minerals
Dhahran, Saudi Arabia
2 h-index
3 publications
80 citations
Southwest Petroleum University
Chengdu, China
2 h-index
3 publications
57 citations
1–8 of 53
3 publications · 73 citations
3
h-index
3 publications · 62 citations
3
h-index
2 publications · 29 citations
2
h-index
Conference · 1 publications · 16 citations
1
h-index
1 publications · 38 citations
1
h-index
1–5