1747-7778
Published by: Taylor & Francis
http://www.springer.com/business+%26+management/operations+research/journal/41273
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 722 | 15 | 22 | 7 |
| Engineering and Technology | 1130 | 12 | 11 | 6 |
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.
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.
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.
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:
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:
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.
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.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
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.
Christine S.M. Currie;John W. Fowler;Kathy Kotiadis;Thomas Monks
(2020)Stewart Robinson
(2020)Carlos L. Quintero-Araujo;Daniel Guimarans;Angel A. Juan
(2021)Martijn F. Legêne;Willem L. Auping;Gonçalo Homem de Almeida Correia;Bart van Arem
(2020)Antuela A. Tako;Naoum Tsioptsias;Stewart Robinson
(2020)Alberto Fernández;Holger Billhardt;Sascha Ossowski;Óscar Sánchez
(2020)Sean Reed;Magnus Löfstrand;John Andrews
(2021)Ali Shahabi;Sadigh Raissi;Kaveh Khalili-Damghani;Meysam Rafei
(2021)Exploring online degrees in fields related to Computer Science can open up diverse and promising career opportunities. For example, pursuing an ai degree equips students with vital skills in machine learning, data analysis, and automated systems, making them highly sought after in tech-driven industries.
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