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. 27.5% 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%
- 1.9k per year above
- Top-10% rate
- 27.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +242% the tick is no change
Which countries lead Age of Information Optimization research?
By volume, China and the United States publish the most (1.2k and 370 works in 2022–2025).
By volume, 2022–2025
- 1 China 1.2k works
- 2 United States 370 works
- 3 India 167 works
- 4 Canada 94 works
- 5 South Korea 86 works
- 6 United Kingdom 80 works
- 7 Germany 77 works
- 8 Italy 74 works
- 9 France 56 works
- 10 Hong Kong 49 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 Age of Information Optimization research?
By volume in 2022–2025, 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, 2022–2025
- 1 Beijing University of Posts and TelecommunicationsChina 61 works
- 2 Tsinghua UniversityChina 34 works
- 3 Sun Yat-sen UniversityChina 31 works
- 4 Southeast UniversityChina 29 works
- 5 Beijing Jiaotong UniversityChina 26 works
- 6 Harbin Institute of TechnologyChina 25 works
- 7 Xidian UniversityChina 22 works
- 8 University of Maryland, College ParkUnited States 22 works
- 9 University of Electronic Science and Technology of ChinaChina 21 works
- 10 Chongqing University of Posts and TelecommunicationsChina 21 works
Who are the leading researchers in Age of Information Optimization?
The most-cited researchers publishing on Age of Information Optimization include H. Vincent Poor, Rajkumar Buyya and Xuemin Shen.
- 1 H. Vincent Poor United States 9.5k citations
- 2 Rajkumar Buyya Australia 7.8k citations
- 3 Xuemin Shen Canada 5.1k citations
- 4 Zhu Han United States 4.7k citations
- 5 Dusit Niyato Singapore 4.5k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Age of Information Optimization research done?
The largest centres of Age of Information Optimization research in 2022–2025 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, 2022–2025
Where it is the local speciality
- College ParkUS · 21.9 works13×
- PadovaIT · 20.7 works8.5×
- ShenzhenCN · 57.7 works6.1×
Location quotient: how much more of its research is in Age of Information Optimization than the world average.
Where is the best place to study Age of Information Optimization?
Among universities, judged by research, Beijing University of Posts and Telecommunications, Xidian University and University of Maryland, College Park 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 TelecommunicationsChina | 81.5 | 32.0% | 36.3× | 62 | +358.2% |
| 2 | Xidian UniversityChina | 72.5 | 32.8% | 11.0× | 22 | +648.7% |
| 3 | University of Maryland, College ParkUnited States | 68.1 | 24.9% | 14.7× | 22 | +216.4% |
| 4 | Nanjing University of Posts and TelecommunicationsChina | 66.9 | 27.5% | 15.9× | 19 | +223.5% |
| 5 | Chongqing University of Posts and TelecommunicationsChina | 66.8 | 40.9% | 26.2× | 21 | +33.3% |
| 6 | Tsinghua UniversityChina | 65.3 | 30.2% | 6.3× | 34 | +223.3% |
| 7 | Beijing Jiaotong UniversityChina | 65.2 | 20.9% | 15.1× | 26 | +421.7% |
| 8 | Singapore University of Technology and DesignSingapore | 64.1 | 35.3% | 39.5× | 10 | — |
| 9 | PLA Army Engineering UniversityChina | 64.0 | 41.3% | 27.2× | 9 | +140.0% |
| 10 | Nanyang Technological UniversitySingapore | 62.6 | 40.8% | 6.4× | 14 | +80.0% |
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 Age of Information Optimization research growing?
Output in 2018–2022 was 242% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Age of Information Optimization.
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.