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
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
China 660 works
- 2
United States 415 works
- 3
India 248 works
- 4
Germany 91 works
- 5
United Kingdom 75 works
- 6
Japan 74 works
- 7
Indonesia 71 works
- 8
France 57 works
- 9
Italy 56 works
- 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.
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.
By volume, 2022-now
- 1
Film Independent
United States 36 works
- 2
Beijing University of Posts and Telecommunications
China 28 works
- 3
Chinese Academy of Sciences
China 21 works
- 4
National University of Defense Technology
China 19 works
- 5
Beijing Jiaotong University
China 17 works
- 6
Centre National de la Recherche Scientifique
France 14 works
- 7
Tsinghua University
China 13 works
- 8
China Aerospace Science and Technology Corporation
China 12 works
- 9
Beihang University
China 11 works
- 10
American Rock Mechanics Association
United States 11 works
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
John P. A. Ioannidis
United States 317k citations
- 2
Xiaogang Wang
China 260k citations
- 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.
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
Where it is the local speciality
- Los AngelesUS · 40.3 works5.8×
- ChangshaCN · 34.0 works3.0×
Location quotient: how much more of its research is in Mobile Agent-Based Network Management than the world average.
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.
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.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Xidian University |
67.0 | 31.4% | 6.2× | 9 | +139.7% |
| 2 | Tsinghua University |
64.4 | 26.1% | 2.8× | 13 | +75.0% |
| 3 | Beijing University of Posts and Telecommunications |
61.9 | 13.7% | 21.1× | 28 | +72.9% |
| 4 | Beijing Jiaotong University |
54.5 | 17.5% | 13.1× | 17 | +33.0% |
| 5 | Beihang University |
53.0 | 23.7% | 4.8× | 11 | +104.0% |
| 6 | National University of Defense Technology |
52.6 | 17.8% | 11.6× | 18 | +8.4% |
| 7 | Harbin Institute of Technology |
52.0 | 28.3% | 2.4× | 8 | +21.6% |
| 8 | Beijing Institute of Technology |
48.9 | 21.4% | 4.4× | 11 | +383.3% |
| 9 | University of Electronic Science and Technology of China |
25.5 | 13.8% | 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 countryIs 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.
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.
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.
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
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