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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. 9.9% 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%
3.1k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+31%
the tick is no change
Largest producer
China
37% of the 10 largest, 2022-now
Mobile Agent-Based Network Management

Which countries lead Mobile Agent-Based Network Management research?

By volume, China and the United States publish the most (660 and 415 works in 2022-now).

By volume, 2022-now

  1. 1 China 660 works
  2. 2 United States 415 works
  3. 3 India 248 works
  4. 4 Germany 91 works
  5. 5 United Kingdom 75 works
  6. 6 Japan 74 works
  7. 7 Indonesia 71 works
  8. 8 France 57 works
  9. 9 Italy 56 works
  10. 10 Brazil 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: 36.7%United States: 23.1%India: 13.8%Germany: 5.0%6 others listed: 21.4%37%largest
China660 · 36.7%United States415 · 23.1%India248 · 13.8%Germany91 · 5.0%6 others listed384 · 21.4%

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

Which institutions lead Mobile Agent-Based Network Management research?

By volume in 2022-now, Film Independent publishes the most Mobile Agent-Based Network Management research, followed by Beijing University of Posts and Telecommunications and Chinese Academy of Sciences.

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

The most-cited researchers publishing on Mobile Agent-Based Network Management 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

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 Mobile Agent-Based Network Management?

The most cited paper in Mobile Agent-Based Network Management is "Impossibility of distributed consensus with one faulty process" (Michael J. Fischer, Nancy Ann Lynch, Michael Stewart Paterson, 1985), with 4,607 citations. Next come "QoS-aware middleware for Web services composition" (2,767) and "A survey of multi-agent formation control" (2,499).

Most cited papers
#PaperReleasedCitations
1 Impossibility of distributed consensus with one faulty process Michael J. Fischer, Nancy Ann Lynch, Michael Stewart Paterson · Journal of the ACM Open access Apr 1985 4,607
2 QoS-aware middleware for Web services composition Liangzhao Zeng, Boualem Benatallah, Anne H. H. Ngu et al. · IEEE Transactions on Software Engineering May 2004 2,767
3 A survey of multi-agent formation control Kwang‐Kyo Oh, Myoung‐Chul Park, Hyo‐Sung Ahn · Automatica 28 Oct 2014 2,499
4 Some computer science issues in ubiquitous computing Mark Weiser · Communications of the ACM Book chapterOpen access Jul 1993 2,380
5 Agents that reduce work and information overload Pattie Maes · Communications of the ACM Jul 1994 2,332
All 100 most cited papers, with filters and sorting

Where is Mobile Agent-Based Network Management research done?

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

Largest cities, 2022-now

  1. 1 BeijingChina 199 works
  2. 2 ShanghaiChina 43 works
  3. 3 Los AngelesUnited States 40 works
  4. 4 Xi'anChina 37 works
  5. 5 ChangshaChina 34 works
  6. 6 NanjingChina 31 works
  7. 7 TokyoJapan 30 works
  8. 8 WuhanChina 26 works
  9. 9 ChennaiIndia 26 works
  10. 10 GuangzhouChina 22 works

Where it is the local speciality

  1. Los AngelesUS · 40.3 works5.8×
  2. ChangshaCN · 34.0 works3.0×
← less than its size predicts1×more →

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, Xidian University, Tsinghua University and Beijing University of Posts and Telecommunications 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 21.5222%fractional works in this field (log) →share of work in the world top 10% →Xidian UniversityTsinghua UniversityBeijing Jiaotong Uni…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
1Xidian UniversityChina 67.031.4%6.2×9 +139.7%
2Tsinghua UniversityChina 64.426.1%2.8×13 +75.0%
3Beijing University of Posts and TelecommunicationsChina 61.913.7%21.1×28 +72.9%
4Beijing Jiaotong UniversityChina 54.517.5%13.1×17 +33.0%
5Beihang UniversityChina 53.023.7%4.8×11 +104.0%
6National University of Defense TechnologyChina 52.617.8%11.6×18 +8.4%
7Harbin Institute of TechnologyChina 52.028.3%2.4×8 +21.6%
8Beijing Institute of TechnologyChina 48.921.4%4.4×11 +383.3%
9University of Electronic Science and Technology of ChinaChina 25.513.8%4.0×9 +97.1%

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 Mobile Agent-Based Network Management, country by country

Is Mobile Agent-Based Network Management research growing?

Output in 2022-2025 was 31% higher than in 2018-2021, peaking in 2009. The fastest-growing topics are Mobile Agent-Based Network Management.

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 Mobile Agent-Based Network Management as a percentage of every work published that year, 0.011% in 2024.

still counting0.050%0.10%0.15%Mobile Agent-Based Network Management0.012% in 202519801990200020102020

Fractional works of Mobile Agent-Based Network Management 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%Mobile Agent-Based Network Management10.3% 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.

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