| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 1068 | 7 | 16 | 2 |
| Engineering and Technology | 1394 | 8 | 10 | 2 |
Operations research, Systems engineering, Discrete event simulation, Simulation and Mathematical optimization are the subjects of interest in the journal. Systems engineering research presented in the journal encompasses a variety of subjects, including Supply chain and Supply chain management. The Supply chain study featured in it draws parallels with the field of Operations management.
It centers on topics in Supply chain management, with a focus on Service management.
The main points discussed in the journal articles deal with Supply chain, Supply chain management, Distributed computing, Systems engineering and Discrete event simulation. The published papers address concerns in Supply chain which are intertwined with other disciplines, such as Production (economics) and Microeconomics. While the journal papers focused on Supply chain management, they were also able to explore topics like Verification and validation of computer simulation models, Risk analysis (engineering), Robustness (computer science) and System dynamics.
International Journal of Simulation and Process Modelling primarily focuses on research topics in Process (engineering), Discrete event simulation, Operations research, Performance indicator and Productivity. In addition to Process (engineering) research, the journal aims to explore topics under Unstructured Supplementary Service Data, Polling, DEVS and Unit (housing). While Discrete event simulation is the focus of International Journal of Simulation and Process Modelling, it also provided insights into the studies of Representation (systemics), Information Age, Situation awareness and Knowledge management.
The journal explores issues in Operations research which can be linked to other research areas like Scheduling (production processes) and Panel data. International Journal of Simulation and Process Modelling explores topics in Performance indicator which can be helpful for research in disciplines like Business process, Stochastic process, Analogy, Mathematical optimization and Entropy (information theory). It aims to bridge the gap between the study of Productivity and research in different fields like Manufacturing, Decision support system, Production (economics), Risk analysis (engineering) and Queue.
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 International Journal of Simulation and Process Modelling (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 International Journal of Simulation and Process Modelling (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, 8.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.18% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.64% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 4.55% of all publications and 63.64% 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.
If you are interested in contributing to the International Journal of Simulation and Process Modelling, there are several steps you can take. First, be sure to familiarize yourself with the topics and research areas the journal typically covers. As listed above, topics often include operations research, systems engineering, discrete event simulation, and more.
Additionally, potential contributors should consider reviewing some of the most cited papers to get a sense of the style and depth of research the journal publishes.
Submission guidelines and peer-review processes are essential aspects you should be aware of as a potential contributor. Fulfilling these requirements increases your chances of successful submission and eventual publication. The peer-review process, in particular, ensures the credibility, originality, and quality of research published.
Understanding the academic and professional backgrounds of previously published authors could also be beneficial. This can provide insights into the kind of research profiles the journal often associates with.
Education requirements may, in some way, also affect your preparedness for contributing to a journal such as this. For instance, teaching in a private school might have specific requirements. To understand this better, you can refer to resources on whether private school teachers need a degree in Oregon.
Remember, contributing to a journal requires an inherent passion for research, diligence in maintaining quality standards, and a commitment to add value to the specific study area.
Maurizio Giacobbe;Francesco Alessi;Angelo Zaia;Antonio Puliafito
(2020)Osama M. Mohsen;Sina Abdollahnejad;Narges Sajadfar;Yasser Mohamed
(2021)Francesco Longo;Antonio Padovano;Lucia Gazzaneo;Giovanni Mirabelli
(2021)For students exploring Computer Science in the USA, there are several related online degree options that can broaden career opportunities. One prominent field is artificial intelligence, where specialized artificial intelligence degree programs offer focused training in machine learning, robotics, and data analysis. These programs prepare graduates for roles in tech-driven industries that prioritize automation and innovation.
Additionally, students may consider interdisciplinary paths linked to sustainability and engineering. For those interested in environmental applications of technology, pursuing a degree in environmental science can be valuable. Many institutions provide affordable options, such as the cheapest online environmental science degree, enabling learners to combine computing skills with ecological expertise.
For those seeking flexible study options, enrolling in a computer science degree online offers the advantage of accelerated learning without compromising quality. This mode supports busy professionals or remote learners aiming to upgrade their skills efficiently.
Lastly, the nexus of environmental science and technology provides exciting career pathways. Exploring programs in environmental science degree fields equips students to address global challenges through data-driven solutions and sustainable technologies.