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Topic · Computer Networks and Communications

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. 9.8% 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%
4.2k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-20%
the tick is no change
Largest producer
China
53% of the 10 largest, 2022-now
Caching and Content Delivery

Which countries lead Caching and Content Delivery research?

By volume, China and the United States publish the most (2.8k and 700 works in 2022-now).

By volume, 2022-now

  1. 1 China 2.8k works
  2. 2 United States 700 works
  3. 3 India 692 works
  4. 4 South Korea 231 works
  5. 5 Japan 208 works
  6. 6 Germany 153 works
  7. 7 United Kingdom 138 works
  8. 8 Canada 133 works
  9. 9 Australia 115 works
  10. 10 France 115 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.

China: 53.1%United States: 13.2%India: 13.1%South Korea: 4.4%6 others listed: 16.3%53%largest
China2,811 · 53.1%United States700 · 13.2%India692 · 13.1%South Korea231 · 4.4%6 others listed863 · 16.3%

Shares of the rows listed above, not of the whole node.

Which institutions lead Caching and Content Delivery research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Caching and Content Delivery research, followed by Beijing University of Posts and Telecommunications and Tsinghua University.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 128 works
  2. 2 Beijing University of Posts and TelecommunicationsChina 69 works
  3. 3 Tsinghua UniversityChina 58 works
  4. 4 University of Science and Technology of ChinaChina 52 works
  5. 5 Huazhong University of Science and TechnologyChina 49 works
  6. 6 Shanghai Jiao Tong UniversityChina 45 works
  7. 7 University of Electronic Science and Technology of ChinaChina 41 works
  8. 8 Centre National de la Recherche ScientifiqueFrance 34 works
  9. 9 Sun Yat-sen UniversityChina 34 works
  10. 10 Tianjin UniversityChina 31 works

Who are the leading researchers in Caching and Content Delivery?

The most-cited researchers publishing on Caching and Content Delivery include John P. A. Ioannidis, Wei Huang and Jens K. Nørskov.

  1. 1 John P. A. Ioannidis United States 317k citations
  2. 2 Wei Huang China 267k citations
  3. 3 Jens K. Nørskov Denmark 260k citations
  4. 4 Kai You Wang China 224k citations
  5. 5 Frede Blaabjerg Denmark 203k citations
  6. 6 Michael I. Jordan United States 182k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Caching and Content Delivery?

The most cited paper in Caching and Content Delivery is "Chord" (Ion Gabriel Stoica, Robert Morris, David R. Karger et al., 2001), with 9,673 citations. Next come "Item-based collaborative filtering recommendation algorithms" (9,115) and "Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems" (7,322).

Most cited papers
#PaperReleasedCitations
1 Chord Ion Gabriel Stoica, Robert Morris, David R. Karger et al. Conference paper 27 Aug 2001 9,673
2 Item-based collaborative filtering recommendation algorithms Badrul M. Sarwar, George Karypis, Joseph A. Konstan et al. Conference paper Apr 2001 9,115
3 Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems Antony I.T. Rowstron, Peter Druschel · Lecture notes in computer science Conference paper 2001 7,322
4 A scalable content-addressable network Sylvia Ratnasamy, Paul Francis, Mark James Handley et al. Conference paperOpen access 27 Aug 2001 6,406
5 Above the Clouds: A Berkeley View of Cloud Computing Michael Armbrust, Armando Fox, Rean Griffith et al. 10 Feb 2009 5,734
All 98 most cited papers, with filters and sorting

Where is Caching and Content Delivery research done?

The largest centres of Caching and Content Delivery research in 2022-now 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-now

  1. 1 BeijingChina 550 works
  2. 2 ShanghaiChina 169 works
  3. 3 NanjingChina 141 works
  4. 4 WuhanChina 125 works
  5. 5 SeoulSouth Korea 123 works
  6. 6 GuangzhouChina 122 works
  7. 7 Xi'anChina 110 works
  8. 8 HangzhouChina 106 works
  9. 9 ShenzhenChina 104 works
  10. 10 ChengduChina 97 works

Where it is the local speciality

  1. Beijing23.2 works8.8×
  2. GuilinCN · 31.6 works5.7×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Caching and Content Delivery than the world average.

See Caching and Content Delivery on the map

Where is the best place to study Caching and Content Delivery?

Among universities, judged by research, Chengdu University, Lanzhou Jiaotong University and Tianjin 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.

0%20%40%60%mean 33.82%fractional works in this field (log) →share of work in the world top 10% →Chengdu UniversityLanzhou Jiaotong Uni…Shandong Normal Univ…Tianjin University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Chengdu UniversityChina 61.754.9%7.4×9 +281.7%
2Lanzhou Jiaotong UniversityChina 61.251.1%7.2×10 +229.9%
3Tianjin UniversityChina 58.831.4%4.4×32 +32.2%
4Shandong Normal UniversityChina 57.748.3%8.4×12 +48.5%
5Zhejiang University of TechnologyChina 56.035.3%5.7×18 +84.5%
6Fuzhou UniversityChina 54.031.4%5.4×18 +95.8%
7City University of Hong KongChina 51.131.4%5.6×19 -7.9%
8University of Science and Technology of ChinaChina 49.110.2%7.5×52 +0.8%
9University of Electronic Science and Technology of ChinaChina 48.922.0%6.3×41 -12.6%
10Shenzhen UniversityChina 48.622.2%4.8×21 +15.6%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Caching and Content Delivery, country by country

Is Caching and Content Delivery research growing?

Output in 2022-2025 was 20% lower than in 2018-2021, peaking in 2018.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Caching and Content Delivery as a percentage of every work published that year, 0.030% in 2024.

still counting0.025%0.050%0.075%Caching and Content Delivery0.023% in 202519801990200020102020

Fractional works of Caching and Content Delivery over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Caching and Content Delivery9.7% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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