Network Traffic and Congestion Control
Network Traffic and Congestion Control is a research topic within Computer Networks and Communications. Science Explorer counts 30k research works in it since 1962. 16.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on various aspects of congestion control in computer networks, including TCP performance, active queue management, bandwidth estimation, internet topology, multicast routing, delay analysis, wireless networks, and quality of service (QoS) routing.
- Congestion Control
- TCP
- Active Queue Management
- Network Performance
- Bandwidth Estimation
- Internet Topology
- Multicast Routing
- Delay Analysis
- Wireless Networks
- QoS Routing
- Research works
- 30k fractional, since 1962
- In the world top 10%
- 4.9k per year above
- Top-10% rate
- 16.1% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -31% the tick is no change
Which countries lead Network Traffic and Congestion Control research?
By volume, China and the United States publish the most (471 and 227 works in 2022–2025).
By volume, 2022–2025
- 1 China 471 works
- 2 United States 227 works
- 3 India 166 works
- 4 Japan 85 works
- 5 Germany 77 works
- 6 France 49 works
- 7 Italy 46 works
- 8 United Kingdom 45 works
- 9 Russia 44 works
- 10 South Korea 43 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 Network Traffic and Congestion Control research?
By volume in 2022–2025, Beijing University of Posts and Telecommunications publishes the most Network Traffic and Congestion Control research, followed by Tsinghua University and National University of Defense Technology.
By volume, 2022–2025
- 1 Beijing University of Posts and TelecommunicationsChina 29 works
- 2 Tsinghua UniversityChina 26 works
- 3 National University of Defense TechnologyChina 14 works
- 4 Beijing Jiaotong UniversityChina 11 works
- 5 University of Science and Technology of ChinaChina 10 works
- 6 Silesian University of TechnologyPoland 9 works
- 7 University of Electronic Science and Technology of ChinaChina 9 works
- 8 Shanghai Jiao Tong UniversityChina 9 works
- 9 Huawei Technologies (China)China 9 works
- 10 Southeast UniversityChina 9 works
Who are the leading researchers in Network Traffic and Congestion Control?
The most-cited researchers publishing on Network Traffic and Congestion Control include Ion Stoica, Ian F. Akyildiz and Deborah Estrin.
- 1 Ion Stoica United States 9.6k citations
- 2 Ian F. Akyildiz United States 8.2k citations
- 3 Deborah Estrin United States 5.9k citations
- 4 Randy H. Katz United States 5.7k citations
- 5 Hari Balakrishnan United States 5.5k citations
- 6 Guanrong Chen Hong Kong 5.4k citations
- 7 Xuemin Shen Canada 5.1k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Network Traffic and Congestion Control research done?
The largest centres of Network Traffic and Congestion Control research in 2022–2025 are Beijing (China), Nanjing (China), Tokyo (Japan) and Changsha (China). Among places with at least 20 works in it, it is an unusually large share of all research in Shenzhen and Changsha.
Largest cities, 2022–2025
Where it is the local speciality
- ShenzhenCN · 25.3 works4.1×
- ChangshaCN · 30.4 works3.5×
Location quotient: how much more of its research is in Network Traffic and Congestion Control than the world average.
Where is the best place to study Network Traffic and Congestion Control?
Among universities, judged by research, Tsinghua University, National University of Defense Technology and Silesian University of Technology 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 | Tsinghua UniversityChina | 69.0 | 16.8% | 7.5× | 26 | -47.6% |
| 2 | National University of Defense TechnologyChina | 55.2 | 14.4% | 10.0× | 14 | -52.0% |
| 3 | Silesian University of TechnologyPoland | 48.9 | 4.5% | 20.8× | 9 | +55.3% |
| 4 | Beijing University of Posts and TelecommunicationsChina | 48.4 | 2.3% | 26.1× | 29 | -45.0% |
| 5 | Beijing Jiaotong UniversityChina | 41.1 | 6.4% | 10.3× | 11 | -67.9% |
| 6 | Shanghai Jiao Tong UniversityChina | 37.2 | 18.8% | 2.3× | 9 | -55.1% |
| 7 | Southeast UniversityChina | 35.5 | 13.4% | 3.5× | 8 | -14.6% |
| 8 | Georgia Institute of TechnologyUnited States | 29.8 | 4.8% | 7.6× | 8 | -71.7% |
| 9 | University of Science and Technology of ChinaChina | 27.7 | 7.0% | 4.6× | 10 | -11.0% |
| 10 | University of Electronic Science and Technology of ChinaChina | 21.6 | 6.1% | 4.4× | 9 | -34.6% |
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 Network Traffic and Congestion Control research growing?
Output in 2018–2022 was 31% lower than in 2013–2017, peaking in 2002.
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.