Optimization and Packing Problems
Optimization and Packing Problems is a research topic within Industrial and Manufacturing Engineering. Science Explorer counts 16k research works in it since 1956. 24.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the optimization of cutting and packing problems, including knapsack problems, bin packing, heuristic and metaheuristic algorithms, three-dimensional packing, rectangular packing, genetic algorithms, and strip packing. The research explores various approaches to efficiently utilize space and resources for packing objects into containers or arranging them for optimal use.
- Cutting
- Packing
- Knapsack Problem
- Bin Packing
- Heuristic Algorithms
- Metaheuristic Algorithms
- Three-Dimensional Packing
- Rectangular Packing
- Genetic Algorithm
- Strip Packing
- Research works
- 16k fractional, since 1956
- In the world top 10%
- 4.1k per year above
- Top-10% rate
- 24.8% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +2% the tick is no change
Which countries lead Optimization and Packing Problems research?
By volume, China and the United States publish the most (611 and 179 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 Optimization and Packing Problems research?
By volume in 2022–2025, Huazhong University of Science and Technology publishes the most Optimization and Packing Problems research, followed by Wuhan University of Technology and Shanghai Jiao Tong University.
By volume, 2022–2025
- 1 Huazhong University of Science and Technology China 24 works
- 2 Wuhan University of Technology China 15 works
- 3 Shanghai Jiao Tong University China 13 works
- 4 Northeastern University China 11 works
- 5 Centre National de la Recherche Scientifique France 10 works
- 6 Tsinghua University China 10 works
- 7 Shanghai University China 10 works
- 8 Southwest Jiaotong University China 9 works
- 9 Universidade Estadual de Campinas (UNICAMP) Brazil 9 works
- 10 Beijing Institute of Technology China 8 works
Who are the leading researchers in Optimization and Packing Problems?
The most-cited researchers publishing on Optimization and Packing Problems include Marco Dorigo, Xin Yao and Vittorio Maniezzo.
- 1 Marco Dorigo 4.5k citations
- 2 Xin Yao 3.5k citations
- 3 Vittorio Maniezzo 3.1k citations
- 4 N. J. A. Sloane 2.8k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Optimization and Packing Problems research done?
The largest centres of Optimization and Packing Problems research in 2022–2025 are Beijing (China), Shanghai (China), Wuhan (China) and Nanjing (China).
Where is the best place to study Optimization and Packing Problems?
Among universities, judged by research, Wuhan University of Technology, Huazhong University of Science and Technology and Shanghai 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Wuhan University of Technology China | 56.7 | 21.4% | 8.1× | 15 | -13.6% |
| 2 | Huazhong University of Science and Technology China | 54.3 | 19.7% | 6.5× | 24 | -38.3% |
| 3 | Shanghai University China | 47.0 | 22.0% | 5.7× | 10 | +25.7% |
| 4 | Tsinghua University China | 44.0 | 28.0% | 2.2× | 10 | +13.6% |
| 5 | Shanghai Maritime University China | 40.5 | 17.2% | 13.9× | 8 | -44.6% |
| 6 | Northeastern University China | 30.3 | 14.4% | 5.5× | 12 | -36.7% |
| 7 | Southwest Jiaotong University China | 29.9 | 14.5% | 5.2× | 9 | -6.3% |
| 8 | Universidade Estadual de Campinas (UNICAMP) Brazil | 27.7 | 5.6% | 5.0× | 9 | +61.2% |
| 9 | Beijing Institute of Technology China | 20.7 | 15.1% | 3.0× | 8 | -11.4% |
| 10 | Shanghai Jiao Tong University China | 17.4 | 9.5% | 2.5× | 13 | -40.2% |
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 Optimization and Packing Problems research growing?
Output in 2018–2022 was 2% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Optimization and Packing Problems.
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.