Model-Based System Engineering of the Internet of Things: A Bibliometric Literature Analysis

Ahmad, Ehsan

doi:10.1109/access.2023.3277429

Cited by 3 publications

(2 citation statements)

References 127 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bibliometric analysis has been the primary choice for the authors from various domains when conducting a scientometric analysis over a particular field of research [31], [32], [33], [34], [35]. In order to conduct the bibliometric analysis, a two-part process is used as suggested by Marin-Rodriguez et al [36] and Anac et al [37].…”

Section: Methodsmentioning

confidence: 99%

Charting the Course of School Dropout Research: A Bibliometric Exploration

Marius Profiroiu,

Cibu,

Delcea

et al. 2024

IEEE Access

View full text Add to dashboard Cite

This paper presents a bibliometric analysis focused on the research domain of school dropout. Over the course of time, nations across the globe have come to acknowledge the significance of this phenomenon and have made concerted efforts to gain deeper insights into it, with the aim of mitigating the associated risks. Consequently, it has become evident that the origins of this phenomenon can be traced back to a child's formative years, and, once identified, it can be ameliorated through the implementation of an array of mitigation strategies. Therefore, the principal objective of this paper is to navigate the body of work published in connection with the school dropout phenomenon, shedding light on the research community's interest in this subject. Our investigation was inaugurated by assembling a comprehensive dataset encompassing 1,592 papers sourced from the ISI Web of Science database, spanning the years from 1976 to 2022. Notably, the research community has exhibited a significant level of engagement with this research area, as evidenced by a robust annual growth rate of 11.14%. To uncover emerging research trajectories, we conducted an exhaustive examination of keyword usage. Moreover, we delved into the intricate web of collaborative relationships among authors, identifying the most prolific contributors to this field. Furthermore, we conducted a meticulous analysis of the most salient papers within this domain, and, for enhanced elucidation, we have presented a review of the top-10 most cited works, thereby spotlighting the prevailing research directions that have captured the attention of scholars hailing from diverse corners of the world. The results of our analysis reveal a burgeoning global interest in the school dropout phenomenon over time.

show abstract

Section: Methodsmentioning

confidence: 99%

Charting the Course of School Dropout Research: A Bibliometric Exploration

Marius Profiroiu,

Cibu,

Delcea

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Despite the introduction of reference architectures like Reference Architecture Model for Industry 4.0 (RAMI 4.0) and others that are based on RAMI 4.0, it is still difficult to guarantee seamless interoperability in all areas (semantic, structural, syntactic and system) for developing IR4.0 (Sun et al ., 2020). Global standardization is critical to address the interoperability challenges in dynamic reconfigurable systems in IR4.0 (Ahmad, 2023; Lelli, 2019). Compatibility can be improved by establishing industry-wide standards enabling the devices to exchange data and a secure understandable way.…”

Section: Unpacking Industry 40mentioning

confidence: 99%

The convergence of Education 4.0 and Industry 4.0: a Twin Peaks model

Ahmad

2024

JIDT

Self Cite

View full text Add to dashboard Cite

PurposeThis paper explores the convergence of Education 4.0 and Industry 4.0 and presents a Twin Peaks model for their seamless integration.Design/methodology/approachA high-level literature review is conducted to identify and discuss the important challenges and opportunities offered by both Education 4.0 and Industry 4.0. A novel Twin Peaks model is devised for the convergence of these domains and to cope with the challenges effectively.FindingsThe proposed Twin Peak model for the convergence of Education 4.0 and Industry 4.0 suggests that the development of these two domains is interdependent. It emphasizes ethical considerations, inclusivity and understanding the concerns of stakeholders from both education and industry. We have also explained how continuous incremental adaptation within the proposed Twin Peaks model might assist in addressing concerns of one sector with the opportunities of the other.Originality/valueFirst, Education 4.0 and Industry 4.0 are reviewed in terms of opportunities and challenges they present. Second, a novel Twin Peaks model for the convergence of Education 4.0 and Industry 4.0 is presented. The proposed discovers that the convergence is adaptive, iterative and must be ethically sound while considering the broader societal implications of the digital transformation. Third, this study also acts as a torch-bearer for the necessity for more research of this kind to guarantee that our educational ecosystem is adaptable and capable of producing the skills required for success in the era of IR4.0.

show abstract

Development methodologies for IoT-based systems: challenges and research directions

Hornos,

Quinde

2024

J Reliable Intell Environ

View full text Add to dashboard Cite

Model-Based System Engineering of the Internet of Things: A Bibliometric Literature Analysis

Cited by 3 publications

References 127 publications

Charting the Course of School Dropout Research: A Bibliometric Exploration

Charting the Course of School Dropout Research: A Bibliometric Exploration

The convergence of Education 4.0 and Industry 4.0: a Twin Peaks model

Development methodologies for IoT-based systems: challenges and research directions

Contact Info

Product

Resources

About