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Topic · Computer Networks and Communications

Age of Information Optimization

Age of Information Optimization is a research topic within Computer Networks and Communications. Science Explorer counts 6.9k research works in it since 1966. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on optimizing the freshness of information in communication networks, particularly in the context of real-time status updates, wireless networks, energy harvesting, and scheduling policies. The research explores age of information metrics, multi-hop networks, IoT monitoring systems, and queue management to minimize the age of information and improve network performance.

  • Age of Information
  • Real-time Status Updates
  • Wireless Networks
  • Energy Harvesting
  • Scheduling Policies
  • Multi-hop Networks
  • IoT Monitoring Systems
  • Queue Management
  • Packet Management
  • Networked Control Systems
Research works
6.9k
fractional, since 1966
In the world top 10%
694
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+69%
the tick is no change
Largest producer
China
54% of the 10 largest, 2022-now
Age of Information Optimization

Which countries lead Age of Information Optimization research?

By volume, China and the United States publish the most (1.4k and 441 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.4k works
  2. 2 United States 441 works
  3. 3 India 217 works
  4. 4 Canada 104 works
  5. 5 South Korea 103 works
  6. 6 United Kingdom 94 works
  7. 7 Germany 85 works
  8. 8 Italy 82 works
  9. 9 France 64 works
  10. 10 Australia 54 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: 53.5%United States: 16.5%India: 8.1%Canada: 3.9%6 others listed: 18.0%54%largest
China1,435 · 53.5%United States441 · 16.5%India217 · 8.1%Canada104 · 3.9%6 others listed483 · 18.0%

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

Which institutions lead Age of Information Optimization research?

By volume in 2022-now, Beijing University of Posts and Telecommunications publishes the most Age of Information Optimization research, followed by Tsinghua University and Sun Yat-sen University.

By volume, 2022-now

  1. 1 Beijing University of Posts and TelecommunicationsChina 77 works
  2. 2 Tsinghua UniversityChina 38 works
  3. 3 Sun Yat-sen UniversityChina 34 works
  4. 4 Southeast UniversityChina 33 works
  5. 5 Chinese Academy of SciencesChina 32 works
  6. 6 Beijing Jiaotong UniversityChina 29 works
  7. 7 Harbin Institute of TechnologyChina 29 works
  8. 8 Xidian UniversityChina 27 works
  9. 9 University of Maryland, College ParkUnited States 25 works
  10. 10 University of Electronic Science and Technology of ChinaChina 23 works

Who are the leading researchers in Age of Information Optimization?

The most-cited researchers publishing on Age of Information Optimization include Michael I. Jordan, H. Vincent Poor and James Jonathan Gross.

  1. 1 Michael I. Jordan United States 182k citations
  2. 2 H. Vincent Poor United States 165k citations
  3. 3 James Jonathan Gross United States 163k citations
  4. 4 E. L. Barberio Japan 150k citations
  5. 5 Stephen Boyd United States 142k citations
  6. 6 Philip S. Yu United States 141k 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 Age of Information Optimization?

The most cited paper in Age of Information Optimization is "Sensing-Throughput Tradeoff for Cognitive Radio Networks" (Ying‐Chang Liang, Yonghong Zeng, Edward Chu Yeow Peh et al., 2008), with 3,018 citations. Next come "Real-time status: How often should one update?" (2,514) and "OceanStore" (2,028).

Most cited papers
#PaperReleasedCitations
1 Sensing-Throughput Tradeoff for Cognitive Radio Networks Ying‐Chang Liang, Yonghong Zeng, Edward Chu Yeow Peh et al. · IEEE Transactions on Wireless Communications Apr 2008 3,018
2 Real-time status: How often should one update? Sanjit K. Kaul, Roy D. Yates, Marco Gruteser Conference paper Mar 2012 2,514
3 OceanStore John D. Kubiatowicz, David Bindel, Yan Chen et al. · ACM SIGPLAN Notices Open access Nov 2000 2,028
4 BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks Pan Hui, Jon Crowcroft, Eiko Yoneki · IEEE Transactions on Mobile Computing 3 Jan 2011 1,526
5 Strategic and automatic processes in prospective memory retrieval: a multiprocess framework Mark A. McDaniel, Gilles O. Einstein · Applied Cognitive Psychology 2000 1,160
All 98 most cited papers, with filters and sorting

Where is Age of Information Optimization research done?

The largest centres of Age of Information Optimization research in 2022-now are Beijing (China), Nanjing (China), Guangzhou (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in College Park, Padova and Shenzhen.

Largest cities, 2022-now

  1. 1 BeijingChina 317 works
  2. 2 NanjingChina 133 works
  3. 3 GuangzhouChina 85 works
  4. 4 ShanghaiChina 83 works
  5. 5 Xi'anChina 75 works
  6. 6 ShenzhenChina 66 works
  7. 7 SeoulSouth Korea 55 works
  8. 8 ChongqingChina 51 works
  9. 9 ChangshaChina 49 works
  10. 10 ChengduChina 42 works

Where it is the local speciality

  1. College ParkUS · 25.3 works13×
  2. PadovaIT · 21.4 works7.5×
  3. ShenzhenCN · 65.9 works5.9×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Age of Information Optimization than the world average.

See Age of Information Optimization on the map

Where is the best place to study Age of Information Optimization?

Among universities, judged by research, Beijing University of Posts and Telecommunications, Hong Kong University of Science and Technology and Nanyang Technological 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%10%20%30%mean 15.81%fractional works in this field (log) →share of work in the world top 10% →Hong Kong University…Nanyang Technologica…City University of H…Beijing University o…
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
1Beijing University of Posts and TelecommunicationsChina 70.512.6%42.0×77 +43.4%
2Hong Kong University of Science and TechnologyChina 68.924.1%7.7×9 +73.4%
3Nanyang Technological UniversitySingapore 67.020.0%7.1×16 +132.5%
4City University of Hong KongChina 61.016.9%8.2×14 +224.6%
5Tsinghua UniversityChina 59.211.6%5.8×38 +19.8%
6Chongqing University of Posts and TelecommunicationsChina 58.015.3%27.6×23 +81.3%
7Sun Yat-sen UniversityChina 57.611.9%5.7×34 +51.3%
8Xidian UniversityChina 57.611.4%12.9×27 +55.6%
9Guangzhou UniversityChina 55.324.1%8.4×9 -
10Southeast UniversityChina 54.710.2%7.8×33 +94.4%

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 Age of Information Optimization, country by country

Is Age of Information Optimization research growing?

Output in 2022-2025 was 69% higher than in 2018-2021, peaking in 2023. The fastest-growing topics are Age of Information Optimization.

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 Age of Information Optimization as a percentage of every work published that year, 0.011% in 2024.

still counting0.010%0.020%Age of Information Optimization0.014% in 202519801990200020102020

Fractional works of Age of Information Optimization 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%Age of Information Optimization9.9% in 202520102020

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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