Science Explorer Back to mapMap
Discussion
Topic · Computer Networks and Communications

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. 9.9% 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%
3k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-20%
the tick is no change
Largest producer
China
39% of the 10 largest, 2022-now
Network Traffic and Congestion Control

Which countries lead Network Traffic and Congestion Control research?

By volume, China and the United States publish the most (599 and 286 works in 2022-now).

By volume, 2022-now

  1. 1 China 599 works
  2. 2 United States 286 works
  3. 3 India 213 works
  4. 4 Japan 99 works
  5. 5 Germany 87 works
  6. 6 France 59 works
  7. 7 Brazil 54 works
  8. 8 United Kingdom 54 works
  9. 9 Italy 51 works
  10. 10 South Korea 51 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: 38.5%United States: 18.4%India: 13.7%Japan: 6.4%6 others listed: 22.9%39%largest
China599 · 38.5%United States286 · 18.4%India213 · 13.7%Japan99 · 6.4%6 others listed356 · 22.9%

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

Which institutions lead Network Traffic and Congestion Control research?

By volume in 2022-now, Beijing University of Posts and Telecommunications publishes the most Network Traffic and Congestion Control research, followed by Tsinghua University and Chinese Academy of Sciences.

By volume, 2022-now

  1. 1 Beijing University of Posts and TelecommunicationsChina 35 works
  2. 2 Tsinghua UniversityChina 31 works
  3. 3 Chinese Academy of SciencesChina 22 works
  4. 4 Centre National de la Recherche ScientifiqueFrance 17 works
  5. 5 National University of Defense TechnologyChina 16 works
  6. 6 Beijing Jiaotong UniversityChina 12 works
  7. 7 University of Electronic Science and Technology of ChinaChina 12 works
  8. 8 Xidian UniversityChina 11 works
  9. 9 University of Science and Technology of ChinaChina 11 works
  10. 10 Shanghai Jiao Tong UniversityChina 10 works

Who are the leading researchers in Network Traffic and Congestion Control?

The most-cited researchers publishing on Network Traffic and Congestion Control include John P. A. Ioannidis, Xiaogang Wang and Andrea C. Tricco.

  1. 1 John P. A. Ioannidis United States 317k citations
  2. 2 Xiaogang Wang China 260k citations
  3. 3 Andrea C. Tricco Canada 258k citations
  4. 4 Kai You Wang China 224k citations
  5. 5 V. Sharma France 178k citations
  6. 6 H. Vincent Poor United States 165k citations
  7. 7 Daron Acemoğlu United States 164k citations
  8. 8 David L. Donoho United States 154k citations
  9. 9 Alan Conrad Bovik United States 150k citations
  10. 10 Stephen Boyd United States 142k 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 Network Traffic and Congestion Control?

The most cited paper in Network Traffic and Congestion Control is "OpenFlow" (Nick McKeown, Tom Anderson, Hari Balakrishnan et al., 2008), with 8,532 citations. Next come "Random early detection gateways for congestion avoidance" (6,305) and "Congestion avoidance and control" (5,334).

Most cited papers
#PaperReleasedCitations
1 OpenFlow Nick McKeown, Tom Anderson, Hari Balakrishnan et al. · ACM SIGCOMM Computer Communication Review 31 Mar 2008 8,532
2 Random early detection gateways for congestion avoidance Sally Floyd, Van L. Jacobson · IEEE/ACM Transactions on Networking 1993 6,305
3 Congestion avoidance and control Van L. Jacobson · ACM SIGCOMM Computer Communication Review 11 Jan 1995 5,334
4 Rate control for communication networks: shadow prices, proportional fairness and stability Frank P. Kelly, A.K. Maulloo, D K H Tan · Journal of the Operational Research Society Mar 1998 5,106
5 On power-law relationships of the Internet topology Michalis Faloutsos, Petros Faloutsos, Christos Faloutsos Conference paperOpen access 30 Aug 1999 4,258
All 96 most cited papers, with filters and sorting

Where is Network Traffic and Congestion Control research done?

The largest centres of Network Traffic and Congestion Control research in 2022-now 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.

Largest cities, 2022-now

  1. 1 BeijingChina 175 works
  2. 2 NanjingChina 44 works
  3. 3 TokyoJapan 37 works
  4. 4 ChangshaChina 36 works
  5. 5 ShanghaiChina 34 works
  6. 6 ShenzhenChina 31 works
  7. 7 Xi'anChina 25 works
  8. 8 SeoulSouth Korea 22 works
  9. 9 ChennaiIndia 21 works
  10. 10 MoscowRussia 21 works

Where it is the local speciality

  1. ShenzhenCN · 31.1 works4.2×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Network Traffic and Congestion Control than the world average.

See Network Traffic and Congestion Control on the map

Where is the best place to study Network Traffic and Congestion Control?

Among universities, judged by research, Tsinghua University, Georgia Institute of Technology and Southeast 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 14.38%fractional works in this field (log) →share of work in the world top 10% →Shanghai Jiao Tong U…Southeast UniversityTsinghua UniversityGeorgia Institute of…
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
1Tsinghua UniversityChina 75.517.0%7.0×31 +10.2%
2Georgia Institute of TechnologyUnited States 57.03.2%7.8×9 +62.6%
3Southeast UniversityChina 56.418.7%3.5×10 +23.4%
4Shanghai Jiao Tong UniversityChina 52.222.2%1.9×10 +64.0%
5University of Science and Technology of ChinaChina 50.314.0%5.0×12 -12.5%
6Northeastern UniversityChina 48.025.8%4.8×8 -39.1%
7Beijing University of Posts and TelecommunicationsChina 46.99.1%28.8×35 -12.1%
8Technical University of MunichGermany 44.98.8%4.9×8 -28.7%
9National University of Defense TechnologyChina 44.513.0%10.7×16 +30.4%
10Xidian UniversityChina 39.112.0%8.2×12 +119.8%

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 Network Traffic and Congestion Control, country by country

Is Network Traffic and Congestion Control research growing?

Output in 2022-2025 was 20% lower than in 2018-2021, peaking in 2002.

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 Network Traffic and Congestion Control as a percentage of every work published that year, 0.0075% in 2024.

still counting0.10%0.20%Network Traffic and Congestion Control0.0098% in 202519801990200020102020

Fractional works of Network Traffic and Congestion Control 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%Network Traffic and Congestion Control10.0% 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.

Discussion

Ask a question or share a note about Network Traffic and Congestion Control. Posts are plain text and can be reported.