Simulation Modelling Practice and Theory

Top Research Topics at Simulation Modelling Practice and Theory?

Simulation Modelling Practice and Theory tackles a plethora of topics, such as Distributed computing, Control theory, Simulation, Computer network and Cloud computing. It explores issues in Distributed computing which can be linked to other research areas like Scheduling (computing) and Scalability. Studies on Control theory discussed in Simulation Modelling Practice and Theory link to the field of Control engineering.

• Distributed computing (14.51%)
• Control theory (10.96%)
• Simulation (10.81%)

What are the most cited papers published in the journal?

• Analysis of Musculoskeletal Systems in the AnyBody Modeling System (573 citations)
• Modeling and simulation of photovoltaic (PV) system during partial shading based on a two-diode model (211 citations)
• Modeling and simulation of a grid connected PV system based on the evaluation of main PV module parameters (161 citations)

Research areas of the most cited articles at Simulation Modelling Practice and Theory:

The most cited publications facilitate discussions on Control theory, Simulation, Control engineering, Distributed computing and Mathematical optimization. The published articles primarily discuss Control theory topics, particularly Control theory, Nonlinear system, PID controller, Control system and Robustness (computer science). The published articles explore issues in Distributed computing which can be linked to other research areas like Computer network, Real-time computing, Cloud computing and Energy consumption.

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

• Artificial intelligence
• Operating system
• Statistics

The previous edition focused in particular on these issues:

The concepts of Distributed computing, Finite element method, Simulation modeling, Network topology and Topology (electrical circuits) are tackled in the journal. It focuses on Distributed computing but the discussions also offer insight into other areas such as Edge computing, Denial-of-service attack and Sybil attack. Issues in Finite element method were discussed, taking into consideration concepts from other disciplines like Process (computing) and Mechanical engineering, Composite material, Punching, Coating.

The journal addresses concerns in Simulation modeling which are intertwined with other disciplines, such as Traffic simulation, Traffic simulator, Simulation and Track (rail transport). The journal explores topics in Network topology which can be helpful for research in disciplines like Overlay network, Scalability, Virtual machine, Security analysis and Protocol (object-oriented programming). The studies in Topology (electrical circuits) featured incorporate elements of Networking hardware, Service (systems architecture), Network monitoring, Telecommunications network and Live migration.

The most cited articles from the last journal are:

• Development and analysis of priority decision rules using MCDM approach for a flexible job shop scheduling: A simulation study (0 citations)
• A multi-level simulation-based optimization framework for IoT-enabled elderly care systems (0 citations)
• 3D Finite element modeling of wear effects in the punching process (0 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 Simulation Modelling Practice and Theory (based on the number of publications) are:

• Helen D. Karatza (33 papers) absent at the last edition,
• Yinong Chen (19 papers) absent at the last edition,
• Irfan Awan (15 papers) absent at the last edition,
• Yaser Jararweh (13 papers) absent at the last edition,
• Jesus Carretero (9 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Simulation Modelling Practice and Theory (based on the number of publications) are:

• Aristotle University of Thessaloniki (42 papers) absent at the last edition,
• Arizona State University (32 papers) absent at the last edition,
• Beihang University (29 papers) absent at the last edition,
• Jordan University of Science and Technology (27 papers) absent at the last edition,
• Tsinghua University (25 papers) absent 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 2022 edition, 18.18% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.11% of all publications and 88.89% 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.

Application in Education Sector

While the above-mentioned insights significantly contribute to the field of computer science, distributed systems, and network engineering, it's essential to note their profound influence on the educational sector as well. The Simulation Modelling Practice and Theory is particularly beneficial when applied in teaching and learning methodologies, specifically when it comes to complex subjects such as history. One such instance is the employability of these practices in transforming the role of a high school history teacher in Montana. Simulation modelling can be adopted for teaching historical events, enabling students to comprehend the chronology, relation, and outcomes of events in an engaging and interactive manner. Further, the use of distributed computing systems can revolutionize the way educational data is managed and accessed, ensuring efficient administration and quality learning at the same time. The learnings from control theory can also promote adaptive learning systems in schools, leading to personalized student-centric education.

The exploration of cloud computing within the journal aids in understanding its implication in virtual classrooms, thereby making education accessible and affordable. This use of advanced technologies, concepts and theories in the education sector reveals the vast application of the knowledge shared through the Simulation Modelling Practice and Theory journal.