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Mobile Agent-Based Network Management

Mobile Agent-Based Network Management is a research topic within Computer Networks and Communications. Science Explorer counts 31k research works in it since 1950. 10.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the use of mobile agent technology for network management, security, and fault tolerance in distributed systems. It explores applications in Internet and wireless computing, integration with SNMP and Java platform, and the use of XML-based management. The research also delves into the challenges and future directions of mobile agent technology in network management.

  • Mobile Agents
  • Network Management
  • Security
  • Distributed Systems
  • Fault Tolerance
  • Internet Applications
  • SNMP
  • Java Platform
  • Wireless Computing
  • XML-Based Management
Research works
31k
fractional, since 1950
In the world top 10%
3.4k
per year above
Top-10% rate
10.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-50%
the tick is no change

Which countries lead Mobile Agent-Based Network Management research?

By volume, China and the United States publish the most (591 and 253 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 591 works
  2. 2 United States 253 works
  3. 3 India 188 works
  4. 4 Germany 79 works
  5. 5 Japan 64 works
  6. 6 Indonesia 62 works
  7. 7 United Kingdom 56 works
  8. 8 France 49 works
  9. 9 Italy 45 works
  10. 10 Brazil 36 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: 41.5%United States: 17.8%India: 13.2%Germany: 5.5%6 others listed: 22.0%42%largest
China591 · 41.5%United States253 · 17.8%India188 · 13.2%Germany79 · 5.5%6 others listed313 · 22.0%

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

Which institutions lead Mobile Agent-Based Network Management research?

By volume in 2022–2025, Beijing University of Posts and Telecommunications publishes the most Mobile Agent-Based Network Management research, followed by National University of Defense Technology and Beijing Jiaotong University.

By volume, 2022–2025

  1. 1 Beijing University of Posts and Telecommunications China 25 works
  2. 2 National University of Defense Technology China 17 works
  3. 3 Beijing Jiaotong University China 16 works
  4. 4 China Academy of Space Technology China 12 works
  5. 5 Tsinghua University China 11 works
  6. 6 Beihang University China 10 works
  7. 7 Beijing Institute of Technology China 10 works
  8. 8 Xidian University China 9 works
  9. 9 Film Independent United States 8 works
  10. 10 University of Electronic Science and Technology of China China 8 works

Who are the leading researchers in Mobile Agent-Based Network Management?

The most-cited researchers publishing on Mobile Agent-Based Network Management include Ian F. Akyildiz, Rajkumar Buyya and MengChu Zhou.

  1. 1 Ian F. Akyildiz 8.2k citations
  2. 2 Rajkumar Buyya 7.8k citations
  3. 3 MengChu Zhou 4.4k citations

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

Where is Mobile Agent-Based Network Management research done?

The largest centres of Mobile Agent-Based Network Management research in 2022–2025 are Beijing (China), Shanghai (China), Xi'an (China) and Changsha (China). Among places with at least 20 works in it, it is an unusually large share of all research in Changsha, Beijing and Xi'an.

Largest cities, 2022–2025

  1. 1 Beijing China 182 works
  2. 2 Shanghai China 39 works
  3. 3 Xi'an China 36 works
  4. 4 Changsha China 32 works
  5. 5 Nanjing China 29 works
  6. 6 Tokyo Japan 26 works
  7. 7 Wuhan China 24 works
  8. 8 Guangzhou China 20 works
  9. 9 Bengaluru India 17 works
  10. 10 Chengdu China 17 works

Where it is the local speciality

  1. ChangshaCN · 32.1 works3.5×
  2. BeijingCN · 182.4 works2.8×
  3. Xi'anCN · 35.8 works2.4×
← less than its size predictsmore →

Location quotient: how much more of its research is in Mobile Agent-Based Network Management than the world average.

See Mobile Agent-Based Network Management on the map

Where is the best place to study Mobile Agent-Based Network Management?

Among universities, judged by research, Beijing University of Posts and Telecommunications, Xidian University and National University of Defense 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.

0%20%40%mean 24.1714%fractional works in this node (log) →share in the world top 10% →Beijing University of Posts and Telecommunications: 25, 29.1%Xidian University: 8, 33.2%National University of Defense Technology: 17, 17.5%Tsinghua University: 11, 33.1%Beijing Jiaotong University: 16, 11.1%Beihang University: 10, 29.8%Beijing Institute of Technology: 10, 15.4%Xidian UniversityTsinghua UniversityBeijing University o…National University …
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1Beijing University of Posts and Telecommunications China 74.029.1%21.6×25 -78.8%
2Xidian University China 47.733.2%6.2×8 -85.2%
3National University of Defense Technology China 46.817.5%11.6×17 -52.4%
4Tsinghua University China 45.033.1%3.0×11 -71.1%
5Beijing Jiaotong University China 42.211.1%13.8×16 -77.3%
6Beihang University China 41.829.8%5.0×10 -72.7%
7Beijing Institute of Technology China 20.215.4%4.5×10 -87.2%

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 Mobile Agent-Based Network Management research growing?

Output in 2018–2022 was 50% lower than in 2013–2017, peaking in 2009.

19801990200020102020
grewheldshrank

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.