Advanced Queuing Theory Analysis
Advanced Queuing Theory Analysis is a research topic within Management Information Systems. Science Explorer counts 20k research works in it since 1953. 19.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the operations management of call centers, with an emphasis on queueing systems, workload management, staffing optimization, patient flow, and performance analysis in heavy traffic regimes. It explores various aspects of call center operations and service systems, utilizing queueing theory and dynamic scheduling to improve efficiency and customer service.
- Call Center
- Queueing Systems
- Service Systems
- Workload Management
- Staffing Optimization
- Patient Flow
- Performance Analysis
- Queueing Theory
- Heavy Traffic Regime
- Dynamic Scheduling
- Research works
- 20k fractional, since 1953
- In the world top 10%
- 4k per year above
- Top-10% rate
- 19.8% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -12% the tick is no change
Which countries lead Advanced Queuing Theory Analysis research?
By volume, India and China publish the most (333 and 297 works in 2022–2025).
By volume, 2022–2025
- 1 India 333 works
- 2 China 297 works
- 3 United States 264 works
- 4 Russia 101 works
- 5 France 58 works
- 6 United Kingdom 53 works
- 7 Japan 47 works
- 8 Canada 39 works
- 9 Germany 38 works
- 10 Netherlands 37 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 Advanced Queuing Theory Analysis research?
By volume in 2022–2025, Vellore Institute of Technology University publishes the most Advanced Queuing Theory Analysis research, followed by Annamalai University and National Research Tomsk State University.
By volume, 2022–2025
- 1 Vellore Institute of Technology UniversityIndia 22 works
- 2 Annamalai UniversityIndia 22 works
- 3 National Research Tomsk State UniversityRussia 15 works
- 4 Yanshan UniversityChina 14 works
- 5 Georgia Institute of TechnologyUnited States 14 works
- 6 Eindhoven University of TechnologyNetherlands 12 works
- 7 Cornell UniversityUnited States 12 works
- 8 Belarusian State UniversityBelarus 12 works
- 9 Indian Institute of Technology RoorkeeIndia 12 works
- 10 Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and TechnologyIndia 11 works
Who are the leading researchers in Advanced Queuing Theory Analysis?
The most-cited researchers publishing on Advanced Queuing Theory Analysis include Ian F. Akyildiz, Philip S. Yu and Peng Shi.
- 1 Ian F. Akyildiz United States 8.2k citations
- 2 Philip S. Yu United States 6.6k citations
- 3 Peng Shi Australia 5k citations
- 4 Zhu Han United States 4.7k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Advanced Queuing Theory Analysis research done?
The largest centres of Advanced Queuing Theory Analysis research in 2022–2025 are Beijing (China), Chennai (India), Moscow (Russia) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Chidambaram.
Largest cities, 2022–2025
Where it is the local speciality
- ChidambaramIN · 22.4 works63×
Location quotient: how much more of its research is in Advanced Queuing Theory Analysis than the world average.
Where is the best place to study Advanced Queuing Theory Analysis?
Among universities, judged by research, Vellore Institute of Technology University, Indian Institute of Technology Roorkee and Yanshan 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.
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 | Vellore Institute of Technology UniversityIndia | 69.4 | 7.8% | 12.9× | 22 | +858.1% |
| 2 | Indian Institute of Technology RoorkeeIndia | 66.0 | 21.3% | 15.0× | 12 | +56.1% |
| 3 | Yanshan UniversityChina | 65.2 | 23.2% | 23.4× | 14 | -51.3% |
| 4 | Belarusian State UniversityBelarus | 64.3 | 19.1% | 70.8× | 12 | -13.5% |
| 5 | Technion – Israel Institute of TechnologyIsrael | 62.2 | 23.5% | 15.3× | 9 | -48.9% |
| 6 | National Research Tomsk State UniversityRussia | 60.9 | 5.4% | 46.2× | 16 | +196.0% |
| 7 | Carnegie Mellon UniversityUnited States | 60.5 | 21.8% | 13.3× | 10 | -28.6% |
| 8 | Annamalai UniversityIndia | 59.2 | 5.2% | 63.8× | 22 | +103.3% |
| 9 | Cornell UniversityUnited States | 55.0 | 17.2% | 7.0× | 12 | +64.3% |
| 10 | Eindhoven University of TechnologyNetherlands | 52.8 | 9.1% | 19.9× | 12 | -25.7% |
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 Advanced Queuing Theory Analysis research growing?
Output in 2018–2022 was 12% lower than in 2013–2017, peaking in 2002. The fastest-growing topics are Advanced Queuing Theory Analysis.
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.