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Journal of Simulation
H-index 10

Journal of Simulation

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 722 15 22 7
Engineering and Technology 1130 12 11 6

Additional Metrics

Number of Best Scientists*: 37
Documents by Best Scientists*: 43
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 34
SCIMAGO SJR: 0.356
Impact Factor: 1.7

Overview

Top Research Topics at Journal of Simulation?

The journal facilitates discussions on Discrete event simulation, Simulation, Operations research, Management science and System dynamics. The work on Discrete event simulation tackled in the journal brings together disciplines like Theoretical computer science, Dynamic simulation, Artificial intelligence, Software engineering and Process (engineering). The Artificial intelligence study tackled is a key component of adjacent topics in the area of Machine learning.

Many of the studies tackled connect Simulation with a similar field of study like Industrial engineering. Discussions in the journal are anchored in the subject of Management science and the similar topic of Health care.

  • Discrete event simulation (61.14%)
  • Simulation (23.64%)
  • Operations research (15.00%)

What are the most cited papers published in the journal?

  • Verification and validation of simulation models (1248 citations)
  • Tutorial on agent-based modelling and simulation (1147 citations)
  • Discrete event simulation for performance modelling in health care: a review of the literature (375 citations)

Research areas of the most cited articles at Journal of Simulation:

The published papers primarily focus on research topics in Discrete event simulation, Simulation, Management science, Conceptual model (computer science) and Operations research. While the most cited articles focused on Discrete event simulation, they were also able to explore topics like Industrial engineering, Verification and validation, Software, Stochastic simulation and Software engineering. The published articles address concerns in Simulation which are intertwined with other disciplines, such as Order (exchange) and Categorization.

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

  • Artificial intelligence
  • World War II
  • Programming language

The previous edition focused in particular on these issues:

Process (engineering), System dynamics, Corporate governance, Operations research and System dynamics model are the subjects of interest in the journal. The featured Process (engineering) works encompass concepts such as Design process and examines them in conjunction with Exhibition. Topics in System dynamics were tackled in line with various other fields like Computer security and Resilience (network).

The studies tackled, which mainly focus on Corporate governance, apply to Engineering management as well. Operations research research featured in it incorporates concerns from various other topics such as Resource allocation and Matlab simulink. It focused on works that combine foundational knowledge of System dynamics model with components of disciplines like Risk analysis (engineering) and Impact assessment.

The most cited articles from the last journal are:

  • A simheuristic algorithm for the capacitated location routing problem with stochastic demands (9 citations)
  • A simheuristic algorithm for video streaming flows optimisation with QoS threshold modelled as a stochastic single-allocation p-hub median problem (3 citations)
  • Improving the decision-making qualities of gaming simulations (3 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.

The top authors publishing in Journal of Simulation (based on the number of publications) are:

  • Stewart Robinson (14 papers) absent at the last edition,
  • Simon J. E. Taylor (8 papers) absent at the last edition,
  • Raymond R. Hill (7 papers) absent at the last edition,
  • John W. Fowler (6 papers) absent at the last edition,
  • Charles M. Macal (5 papers) absent at the last 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of Simulation (based on the number of publications) are:

  • University of Warwick (14 papers) absent at the last edition,
  • University of Southampton (13 papers) absent at the last edition,
  • Georgia Institute of Technology (11 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Lancaster University (9 papers) absent at the last edition,
  • Cardiff University (8 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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.41% were posted by at least one author from the top 10 institutions publishing in the journal. Another 18.52% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.81% of all publications and 59.26% 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 Perspectives in Simulation Research

While doing academic work in simulation research is incredibly rewarding, practical applications of this discipline play an immense role in a variety of industry sectors, including education. For instance, there are career paths that allow researchers to use their skills and knowledge of simulation, particularly in the field of art education. One option includes becoming an elementary art teacher, where you would use your understanding of simulation to create and implement lesson plans. To explore more about this, you might find our guide on how to become an elementary art teacher in Wyoming helpful. Moreover, positions in curating and museum education can also be a perfect match for simulation researchers. This typically involves designing interactive and experiential learning programs using simulation techniques for guests of all ages. In the corporate world, simulation researchers might work as learning and development specialists, creating training materials using simulation for various contexts. In conclusion, there are numerous ways for simulation researchers to utilize their expertise in practical settings, with education being just one of the paths to consider. Through diverse career possibilities, researchers can have direct societal impact while also continuing their scholarship in innovative ways.

Top Publications

  • How simulation modelling can help reduce the impact of COVID-19

    Christine S.M. Currie;John W. Fowler;Kathy Kotiadis;Thomas Monks

    (2020)
    432 Citations
  • Real-time digital twin-based optimization with predictive simulation learning

    (2022)
    64 Citations
  • Conceptual modelling for simulation: Progress and grand challenges

    Stewart Robinson

    (2020)
    39 Citations
  • A simheuristic algorithm for the capacitated location routing problem with stochastic demands

    Carlos L. Quintero-Araujo;Daniel Guimarans;Angel A. Juan

    (2021)
    30 Citations
  • Spatial impact of automated driving in urban areas

    Martijn F. Legêne;Willem L. Auping;Gonçalo Homem de Almeida Correia;Bart van Arem

    (2020)
    23 Citations
  • Can we learn from simplified simulation models? An experimental study on user learning

    Antuela A. Tako;Naoum Tsioptsias;Stewart Robinson

    (2020)
    17 Citations
  • Bike3S: A tool for bike sharing systems simulation

    Alberto Fernández;Holger Billhardt;Sascha Ossowski;Óscar Sánchez

    (2020)
    16 Citations
  • Modelling stochastic behaviour in simulation digital twins through neural nets

    Sean Reed;Magnus Löfstrand;John Andrews

    (2021)
    11 Citations
  • An event-driven simulation-optimisation approach to improve the resiliency of operation in a double-track urban rail line

    Ali Shahabi;Sadigh Raissi;Kaveh Khalili-Damghani;Meysam Rafei

    (2021)
    11 Citations
  • A GA-simheuristic for the stochastic and multi-period portfolio optimisation problem with liabilities

    (2022)
    10 Citations

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