Queueing Systems

Top Research Topics at Queueing Systems?

Queueing Systems primarily focuses on research topics in Queue, Queueing theory, Mathematical optimization, Supply chain management and Applied mathematics. The Queue works featured in the journal incorporate elements from Discrete mathematics, Distributed computing, Real-time computing and Markov process. Some problems in Discrete mathematics that were presented in Queueing Systems overlapped with concepts under G/G/1 queue, M/G/1 queue, M/M/c queue, M/G/k queue and Limit (mathematics).

While M/G/k queue is the key highlight in it, it also covered some subjects on Combinatorics and Distribution (mathematics). The concepts on Queueing theory presented in it can also apply to other research fields, including Algorithm, Heavy traffic approximation and Stationary distribution. The research on Mathematical optimization tackled can also make contributions to studies in the areas of Poisson distribution and Bulk queue.

Supply chain management research presented in it encompasses a variety of subjects, including Scheduling (computing), Computer network, Server and Operations research. Discussions in the journal are anchored in the subject of Applied mathematics and the similar topic of Exponential function. Queueing Systems explores issues in M/M/∞ queue which can be linked to other research areas like M/D/1 queue and M/D/c queue.

• Queue (49.41%)
• Queueing theory (34.10%)
• Mathematical optimization (27.74%)

What are the most cited papers published in the journal?

• Queueing systems with vacations—a survey (960 citations)
• A storage model with self-similar input (798 citations)
• Manufacturing flow line systems: a review of models and analytical results (682 citations)

Research areas of the most cited articles at Queueing Systems:

The most cited publications investigate studies in Queue, Queueing theory, Mathematical optimization, Applied mathematics and Real-time computing. The works on Queue tackled in the most cited publications bring together disciplines like Supply chain management, Distributed computing and Markov process. The featured Mathematical optimization studies in the most cited publications mainly concentrate on Poisson distribution but also cover areas of interest in Exponential function.

What topics the last edition of the journal is best known for?

• Computer network
• Statistics
• Operating system

The previous edition focused in particular on these issues:

The journal mostly deals with topics like Queue, Queueing theory, Supply chain management, Computer communication networks and Applied mathematics. In addition to Queue research, the journal aims to explore topics under Stochastic process, Traffic intensity, Stationary distribution, Mathematical optimization and Exponential distribution. The journal addresses concerns in Queueing theory which are intertwined with other disciplines, such as Markov process, Matrix (mathematics), Stability (probability), Scheduling (computing) and Server.

Queueing Systems tackles studies in Distributed computing and the interrelated subject of Redundancy (engineering) and Cloud computing to gain insights into Server. Issues in Supply chain management were discussed, taking into consideration concepts from other disciplines like Workload, Load balancing (computing), Computer network, Provisioning and Operations research. In addition to Applied mathematics research, it aims to explore topics under Exponential function, Limit (mathematics) and Taylor series.

The most cited articles from the last journal are:

• Open problems in queueing theory inspired by datacenter computing (6 citations)
• A survey of parameter and state estimation in queues (3 citations)
• Balancing admission control, speedup, and waiting in service systems (2 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Queueing Systems (based on the number of publications) are:

• Onno Boxma (47 papers) published 4 papers at the last edition,
• Ward Whitt (41 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Michel Mandjes (34 papers) published 3 papers at the last edition,
• Ivo Adan (23 papers) absent at the last edition,
• Vidyadhar G. Kulkarni (21 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Queueing Systems (based on the number of publications) are:

• Eindhoven University of Technology (115 papers) published 8 papers at the last edition, 7 more than at the previous edition,
• French Institute for Research in Computer Science and Automation (65 papers) published 1 paper at the last edition the same number as at the previous edition,
• Columbia University (60 papers) published 2 papers at the last edition, 1 less than at the previous edition,
• Bell Labs (56 papers) absent at the last edition,
• Georgia Institute of Technology (51 papers) published 1 paper at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 8.11% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.24% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.71% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.65% of all publications and 29.41% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in Queueing Systems Research

Besides enhancing scientific knowledge, research in queueing systems offers numerous career opportunities. These range from roles in academia as professors and lecturers, positions in industrial research and development sectors, as well as roles in government entities working on policy development. Especially, becoming an educator in this field is a fulfilling and impactful path.

A career in teaching queueing systems requires a deep knowledge of the subject including areas such as Queue, Queueing theory, Mathematical optimization, Supply chain management, and Applied mathematics. The duration it takes to become a teacher can vary depending on the specific regulations and requirements of each state. For instance, if you are considering a teaching career in West Virginia, you may be interested to know about the specifics of becoming a history teacher in this state. For detailed information, how long does it take to become a teacher in west virginia.

The skills and knowledge acquired from studying and performing research in queueing systems could also be applied in various other sectors such as tech companies working on optimizing server loads or logistics companies trying to streamline their supply chain management.