Global College

This paper presents a comprehensive bibliometric analysis of scientific output in the field of Multi-Criteria Decision-Making (MCDM) within the context of computer science, focusing on the period from 2019 to mid-2025. Using data from the Web of Science Core Collection, a total of 302 relevant papers were identified based on criteria such as publication year, language, document type, open access status, and research area. The analysis covers publication dynamics, the most influential authors and institutions, thematic directions, and collaboration structures. Special emphasis is placed on citation analysis of the most impactful works, as well as the visualization of co-authorship networks using the PRISMA methodology and tools such as RStudio and Biblioshiny. The results reveal a growing trend in publications, high activity by certain authors (e.g., Akram M and Liu Y), and strong collaboration within research clusters. Dominant topics include decision-making models, alternative selection, aggregation operators, and priority evaluation. This study provides insights into the structure and dynamics of the scientific community engaged in MCDM methods in computer science and may serve as a guide for future researchers, practitioners, and scientific development strategies.

Significantly, urban centers are responsible for huge percentages of energy consumption. Most of this energy is used for buildings, public lighting, and infrastructure. Energy efficiency is an essential aspect in attaining sustainability in arid regions such as Saudi Arabia, which are mostly urbanized. The paper aims to explore how Internet of Things (IoT) technology can be used to attain energy efficiency and sustainability in urban regions. The research paper will use Saudi Arabia as a case example. The paper will discuss an IoT architecture to be used to attain energy efficiency in urban regions. The IoT architecture is composed of different layers, such as distributed sensors, communication networks, edge computing, and cloud computing. The potential impacts of deploying IoT technology to attain energy efficiency are analyzed in this paper. The potential impacts are analyzed using a mixed approach. The paper presents some practical implications that are essential in guiding policymakers and organizations to attain energy efficiency through deploying IoT technology.

The topic of energy harvesting is very important because of the rising power consumption and environmental concerns. Extensive research is being done on Poly (Vinylidene Fluoride) PVDF and its copolymers for the purpose of developing energy harvesting devices. This chapter deals with the various types of piezoelectric devices and their working principle, along with their applications. The use of PVDF and its nanocomposites in piezoelectric devices makes them promising due to their outstanding properties, such as ease of processing, good flexibility, good biocompatibility, high stability, etc. Also, the applications of PVDF-based piezoelectric materials in energy harvesting devices such as sensors, biomedical science, flexible and hybrid nanogenerators, etc., are discussed.