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Topic · Management Information Systems

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. 10.0% 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%
2k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-9%
the tick is no change
Largest producer
China
26% of the 10 largest, 2022-now
Advanced Queuing Theory Analysis

Which countries lead Advanced Queuing Theory Analysis research?

By volume, China and India publish the most (413 and 385 works in 2022-now).

By volume, 2022-now

  1. 1 China 413 works
  2. 2 India 385 works
  3. 3 United States 332 works
  4. 4 Russia 114 works
  5. 5 France 68 works
  6. 6 United Kingdom 64 works
  7. 7 Japan 60 works
  8. 8 Germany 46 works
  9. 9 Canada 46 works
  10. 10 Netherlands 43 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: 26.3%India: 24.5%United States: 21.1%Russia: 7.2%6 others listed: 20.8%26%largest
China413 · 26.3%India385 · 24.5%United States332 · 21.1%Russia114 · 7.2%6 others listed328 · 20.8%

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

Which institutions lead Advanced Queuing Theory Analysis research?

By volume in 2022-now, Russian Academy of Sciences publishes the most Advanced Queuing Theory Analysis research, followed by Vellore Institute of Technology University and Annamalai University.

By volume, 2022-now

  1. 1 Russian Academy of SciencesRussia 25 works
  2. 2 Vellore Institute of Technology UniversityIndia 24 works
  3. 3 Annamalai UniversityIndia 24 works
  4. 4 Centre National de la Recherche ScientifiqueFrance 18 works
  5. 5 Georgia Institute of TechnologyUnited States 17 works
  6. 6 Yanshan UniversityChina 16 works
  7. 7 National Research Tomsk State UniversityRussia 16 works
  8. 8 Cornell UniversityUnited States 16 works
  9. 9 Eindhoven University of TechnologyNetherlands 14 works
  10. 10 Belarusian State UniversityBelarus 13 works

Who are the leading researchers in Advanced Queuing Theory Analysis?

The most-cited researchers publishing on Advanced Queuing Theory Analysis include Leo Breiman, Bruce Leonard Miller and Michael I. Jordan.

  1. 1 Leo Breiman United States 243k citations
  2. 2 Bruce Leonard Miller United States 196k citations
  3. 3 Michael I. Jordan United States 182k citations
  4. 4 H. Vincent Poor United States 165k citations
  5. 5 David R. Jacobs United States 152k citations
  6. 6 Stephen Boyd United States 142k citations
  7. 7 Philip S. Yu United States 141k 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 Advanced Queuing Theory Analysis?

The most cited paper in Advanced Queuing Theory Analysis is "Wide area traffic: the failure of Poisson modeling" (Vern Paxson, Sally Floyd, 1995), with 3,729 citations. Next come "Charging and rate control for elastic traffic" (2,979) and "Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks" (2,929).

Most cited papers
#PaperReleasedCitations
1 Wide area traffic: the failure of Poisson modeling Vern Paxson, Sally Floyd · IEEE/ACM Transactions on Networking Open access Jun 1995 3,729
2 Charging and rate control for elastic traffic Frank P. Kelly · European Transactions on Telecommunications 1997 2,979
3 Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks Leandros Tassiulas, Anthony Ephremides · IEEE Transactions on Automatic Control 1992 2,929
4 Open, Closed, and Mixed Networks of Queues with Different Classes of Customers Forest Baskett, K. Mani Chandy, Richard R. Muntz et al. · Journal of the ACM Open access Apr 1975 2,457
5 A calculus for network delay. I. Network elements in isolation R.L. Cruz · IEEE Transactions on Information Theory 1991 1,916
All 99 most cited papers, with filters and sorting

Where is Advanced Queuing Theory Analysis research done?

The largest centres of Advanced Queuing Theory Analysis research in 2022-now are Beijing (China), Moscow (Russia), Chennai (India) 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-now

  1. 1 BeijingChina 67 works
  2. 2 MoscowRussia 47 works
  3. 3 ChennaiIndia 47 works
  4. 4 ShanghaiChina 34 works
  5. 5 NanjingChina 28 works
  6. 6 VelloreIndia 24 works
  7. 7 ChidambaramIndia 24 works
  8. 8 New YorkUnited States 20 works
  9. 9 Hong KongChina 20 works
  10. 10 LondonUnited Kingdom 19 works

Where it is the local speciality

  1. ChidambaramIN · 23.6 works55×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Queuing Theory Analysis than the world average.

See Advanced Queuing Theory Analysis on the map

Where is the best place to study Advanced Queuing Theory Analysis?

Among universities, judged by research, Technion – Israel Institute of Technology, Cornell University and Georgia Institute of 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%10%20%mean 15.36%fractional works in this field (log) →share of work in the world top 10% →Technion – Israel In…Belarusian State Uni…Cornell 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
1Technion – Israel Institute of TechnologyIsrael 69.519.0%13.3×10 +66.9%
2Cornell UniversityUnited States 69.414.2%6.3×16 -5.0%
3Georgia Institute of TechnologyUnited States 67.211.7%14.3×17 +24.9%
4Belarusian State UniversityBelarus 64.717.4%67.6×13 +37.8%
5Indian Institute of Technology RoorkeeIndia 64.519.7%14.8×13 +26.0%
6Vellore Institute of Technology UniversityIndia 63.78.1%12.8×24 +63.0%
7Carnegie Mellon UniversityUnited States 60.017.9%13.0×10 -30.6%
8Yanshan UniversityChina 58.121.2%24.3×16 -26.5%
9Eindhoven University of TechnologyNetherlands 57.311.0%21.3×14 -28.3%
10Columbia UniversityUnited States 55.113.4%5.1×11 -32.3%

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 Advanced Queuing Theory Analysis, country by country

Is Advanced Queuing Theory Analysis research growing?

Output in 2022-2025 was 9% 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 Advanced Queuing Theory Analysis as a percentage of every work published that year, 0.0081% in 2024.

still counting0.020%0.040%0.060%Advanced Queuing Theory Analysis0.0089% in 202519801990200020102020

Fractional works of Advanced Queuing Theory Analysis 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%Advanced Queuing Theory Analysis10.5% 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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