Resource-Constrained Project Scheduling
Resource-Constrained Project Scheduling is a research topic within Management Science and Operations Research. Science Explorer counts 4.5k research works in it since 1962. 18.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the challenges and techniques for project scheduling under uncertainty and resource constraints. It covers topics such as resource-constrained project scheduling, optimization using metaheuristics, multi-mode scheduling, genetic algorithms, critical chain scheduling, stochastic analysis, time-cost trade-off, and various scheduling heuristics.
- Project Scheduling
- Resource-Constrained
- Optimization
- Metaheuristics
- Multi-Mode
- Genetic Algorithm
- Critical Chain
- Stochastic
- Time-Cost Trade-Off
- Scheduling Heuristics
- Research works
- 4.5k fractional, since 1962
- In the world top 10%
- 813 per year above
- Top-10% rate
- 18.1% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -7% the tick is no change
Which countries lead Resource-Constrained Project Scheduling research?
By volume, China and India publish the most (204 and 55 works in 2022–2025).
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Resource-Constrained Project Scheduling research?
By volume in 2022–2025, Ghent University publishes the most Resource-Constrained Project Scheduling research, followed by Ho Chi Minh City University of Technology and Vietnam National University Ho Chi Minh City.
By volume, 2022–2025
- 1 Ghent UniversityBelgium 9 works
- 2 Ho Chi Minh City University of TechnologyVietnam 8 works
- 3 Vietnam National University Ho Chi Minh CityVietnam 6 works
- 4 University of AlbertaCanada 6 works
- 5 North China Electric Power UniversityChina 6 works
- 6 Karadeniz Technical UniversityTürkiye 5 works
- 7 Northwestern Polytechnical UniversityChina 5 works
- 8 Huazhong University of Science and TechnologyChina 5 works
- 9 Tongji UniversityChina 5 works
- 10 Delft University of TechnologyNetherlands 4 works
Who are the leading researchers in Resource-Constrained Project Scheduling?
The most-cited researchers publishing on Resource-Constrained Project Scheduling include Heng Li.
- 1 Heng Li Hong Kong 2.1k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Resource-Constrained Project Scheduling research done?
The largest centres of Resource-Constrained Project Scheduling research in 2022–2025 are Beijing (China), Tehran (Iran), Shanghai (China) and Ho Chi Minh City (Vietnam). Among places with at least 20 works in it, it is an unusually large share of all research in Tehran.
Largest cities, 2022–2025
Where it is the local speciality
- TehranIR · 26.2 works6.2×
Location quotient: how much more of its research is in Resource-Constrained Project Scheduling than the world average.
Where is the best place to study Resource-Constrained Project Scheduling?
Among universities, judged by research, Ghent University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Ghent UniversityBelgium | 0.0 | 20.9% | 21.6× | 9 | -33.2% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Resource-Constrained Project Scheduling research growing?
Output in 2018–2022 was 7% lower than in 2013–2017, peaking in 2025. The fastest-growing topics are Resource-Constrained Project Scheduling.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.