Caching and Content Delivery
Caching and Content Delivery is a research topic within Computer Networks and Communications. Science Explorer counts 43k research works in it since 1962. 25.4% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on content-centric networking, particularly on caching and information delivery in wireless and mobile networks. It explores topics such as named data networking, edge caching, cache-enabled networks, and the design of network architectures for efficient content distribution. The research addresses challenges and opportunities in optimizing content delivery, storage, and retrieval in modern communication systems.
- Caching
- Information-Centric Networking
- Wireless Networks
- Content Delivery
- Named Data Networking
- Cache-Enabled Networks
- Edge Caching
- Content Distribution
- Mobile Networks
- Network Architecture
- Research works
- 43k fractional, since 1962
- In the world top 10%
- 11k per year above
- Top-10% rate
- 25.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -8% the tick is no change
Which countries lead Caching and Content Delivery research?
By volume, China and India publish the most (2.6k and 664 works in 2022–2025).
By volume, 2022–2025
- 1 China 2.6k works
- 2 India 664 works
- 3 United States 664 works
- 4 South Korea 221 works
- 5 Japan 200 works
- 6 Germany 146 works
- 7 United Kingdom 132 works
- 8 Canada 129 works
- 9 Australia 113 works
- 10 France 109 works
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 Caching and Content Delivery research?
By volume in 2022–2025, Beijing University of Posts and Telecommunications publishes the most Caching and Content Delivery research, followed by Tsinghua University and University of Science and Technology of China.
By volume, 2022–2025
- 1 Beijing University of Posts and Telecommunications China 60 works
- 2 Tsinghua University China 55 works
- 3 University of Science and Technology of China China 49 works
- 4 Huazhong University of Science and Technology China 48 works
- 5 Chinese Academy of Sciences China 46 works
- 6 Shanghai Jiao Tong University China 43 works
- 7 University of Electronic Science and Technology of China China 39 works
- 8 Sun Yat-sen University China 31 works
- 9 University of Chinese Academy of Sciences China 30 works
- 10 National University of Defense Technology China 30 works
Who are the leading researchers in Caching and Content Delivery?
The most-cited researchers publishing on Caching and Content Delivery include Ion Stoica, H. Vincent Poor and Rajkumar Buyya.
- 1 Ion Stoica 9.6k citations
- 2 H. Vincent Poor 9.5k citations
- 3 Rajkumar Buyya 7.8k citations
- 4 Philip S. Yu 6.6k citations
- 5 Deborah Estrin 5.9k citations
- 6 Mohamed‐Slim Alouini 5.9k citations
- 7 Randy H. Katz 5.7k citations
- 8 Hari Balakrishnan 5.5k citations
- 9 Lei Zhang 5.3k citations
- 10 David R. Karger 5.2k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Caching and Content Delivery research done?
The largest centres of Caching and Content Delivery research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Beijing and Guilin.
Largest cities, 2022–2025
Where it is the local speciality
- Beijing23.0 works8.6×
- GuilinCN · 29.4 works5.6×
Location quotient: how much more of its research is in Caching and Content Delivery than the world average.
Where is the best place to study Caching and Content Delivery?
Among universities, judged by research, Beijing University of Posts and Telecommunications, Tianjin University and Inner Mongolia 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 | Beijing University of Posts and Telecommunications China | 58.6 | 14.8% | 15.5× | 60 | +30.4% |
| 2 | Tianjin University China | 58.3 | 38.3% | 3.8× | 28 | +199.9% |
| 3 | Inner Mongolia University China | 56.8 | 17.1% | 12.8× | 18 | +183.7% |
| 4 | Shandong Normal University China | 56.4 | 50.6% | 7.7× | 12 | +22.9% |
| 5 | City University of Hong Kong Hong Kong | 54.8 | 39.3% | 4.9× | 18 | +24.2% |
| 6 | Shenzhen University China | 54.7 | 35.0% | 4.1× | 19 | +232.9% |
| 7 | University of Electronic Science and Technology of China China | 51.8 | 31.7% | 5.5× | 39 | +21.1% |
| 8 | Zhejiang University of Technology China | 51.8 | 47.2% | 5.4× | 18 | +9.4% |
| 9 | Chongqing University of Posts and Telecommunications China | 51.2 | 21.4% | 12.7× | 23 | +2.0% |
| 10 | University of Science and Technology of China China | 50.4 | 21.2% | 6.5× | 49 | +9.4% |
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 Caching and Content Delivery research growing?
Output in 2018–2022 was 8% lower than in 2013–2017, peaking in 2018. The fastest-growing topics are Caching and Content Delivery.
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.