Dynamic Resource Optimization is a formal framework within resource market structure analysis that enables the adaptive allocation and reallocation of heterogeneous resources over time in response to changing market conditions, technological constraints, and strategic objectives, distinguishing itself from static models by explicitly incorporating temporal dynamics and feedback-driven decision processes.
125
Publications
4.5K
Citations
359
Authors
182
Institutions
Publications per year
2017–2026
47
Parents
Publications
125
1–5 of 125
Authors
359
- JD
3
h-index
- KH
2
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- LT
2
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- DB
2
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- PD
2
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1–5 of 359
Institutions
182
University of Science and Technology Beijing
Beijing, China
3 h-index
5 publications
334 citations
Delft University of Technology
Delft, The Netherlands
3 h-index
3 publications
657 citations
Shell (Netherlands)
The Hague, The Netherlands
3 h-index
3 publications
657 citations
Sapienza University of Rome
Rome, Italy
3 h-index
10 publications
236 citations
Tsinghua University
Beijing, China
3 h-index
5 publications
221 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
6 publications
208 citations
Princeton University
Princeton, United States
2 h-index
3 publications
205 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
131 citations
1–8 of 182
Venues
- European Journal of Operational Research
4 publications · 132 citations
4
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- IEEE Access
2 publications · 84 citations
3
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- Computers & Chemical Engineering
2 publications · 48 citations
2
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- Computer Networks
2 publications · 31 citations
2
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- IEEE Transactions on Wireless Communications
2 publications · 180 citations
2
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1–5