Bibliometric Analysis of Home Health and Internet of Health Things (IoHT)

Singh, Ankit; Kumar, Jitendra; Jha, Ajeya; Purbey, Shankar

doi:10.1007/978-981-16-2911-2_9

Cited by 7 publications

(5 citation statements)

References 18 publications

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“…Based on the results presented in Figure 19 , it can be seen that the “people” orientation was the main theme that emerged in 2022. These findings are consistent with the results that were published in [ 31 ], which revealed that home IoT is congruent with assisted living for the elderly with health monitoring devices. The second main research topic is closely related to the overall topic of “risk and security” in a wide range of aspects.…”

Section: Resultssupporting

confidence: 93%

Visualizing the Landscape of Home IoT Research: A Bibliometric Analysis Using VOSviewer

Wang

Kim

2023

Sensors

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Currently, the internet of things (IoT) is being widely deployed in home automation systems. An analysis of bibliometrics is presented in this work that covers articles that were obtained from the Web of Science (WoS) databases and published between 1 January 2018, and 31 December 2022. With VOSviewer software, 3880 relevant research papers were analyzed for the study. Through VOSviewer, we analyzed how many articles were published about the home IoT in several databases and their relation to the topic area. In particular, it was pointed out that the chronological order of the research topics changed, and COVID-19 also attracted the attention of scholars in the IoT field, and it was emphasized in this topic that the impact of the epidemic was described. As a result of the clustering, this study was able to conclude the research statuses. In addition, this study examined and compared maps of yearly themes over 5 years. Taking into account the bibliometric nature of this review, the findings are valuable in terms of mapping processes and providing a reference point.

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Section: Resultssupporting

confidence: 93%

Visualizing the Landscape of Home IoT Research: A Bibliometric Analysis Using VOSviewer

Wang

Kim

2023

Sensors

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“…In this research, bibliometrics was utilized as the method. The initial focus was on utilizing bibliometrics to assess academic productivity regarding the number of articles and citations generated by certain academics or institutions (Lima & Bonetti, 2020;Singh et al, 2022). However, it has recently been widely used to characterize the pattern and structure of research developments in numerous domains of science based on the appearance of research variables/content by many researchers from various countries (Collins et al, 2021;Houlden et al, 2021;Luo et al, 2022;Xiong et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

Natural Disaster Education in School: A Bibliometric Analysis with a Detailed Future Insight Overview

Saregar¹,

Sunyono²,

Hariri³

et al. 2022

INT J EDUC METHODOL

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<p style="text-align: justify;">In some places of the world, disasters occur virtually every day. If disasters are not properly foreseen, they may result in many fatalities. This research aims to examine the growth and pattern of literature on natural disaster education in schools. This analytical strategy combines quantitative and statistical methods to discover trends, assess quality, and track development. A total of 216 documents were chosen from the 403 documents collected. Following 2015, there was a considerable increase in four-year publications. Authors from the United States contributed to 45 papers with 37% citations and ranked first, followed by authors from Japan (31 documents; 15% citations) and Indonesia (31 documents) with rankings citations below the top 10. Most publications were published in the International Journal of Disaster Risk Reduction (12 docs; Q1 Scimago Journal Rank 1.1 (SJR 1.1)). The Journal of Child Psychology and Psychiatry and Allied Disciplines had the most citations (100; Q1 SJR 3.6) and was ranked first in its discipline. The existing core literature on school education on natural disasters demonstrates that this topic is developing rapidly, but with insufficient international research collaboration. Research cooperation in this area must be strengthened to better the global response to natural disaster mitigation, which should begin in schools worldwide. There is a need to widen the scope of study in this field to include natural disaster preparedness education in the school curriculum, assessments, learning media, disaster response education, and instructional designs. Finally, disaster education in schools must be addressed as soon as possible to contribute to disaster preparedness.</p>

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“…Regarding smart home studies where researchers focus on the technological aspect of smart homes, multiple existing review papers have discussed smart home literature from different perspectives [12,[21][22][23][24][25][26]. Regarding smart home definitions and characteristics, Marikyan et al [22] suggested that the best way to facilitate the implementation and adoption of smart home technology would be by analysing the user's perspective and the current state.…”

Section: Related Workmentioning

confidence: 99%

“…Topics under each of these dimensions were identified; for instance, the household dimension includes home automation, energy efficiency, domestic appliances, and intelligent buildings. Singh et al [25] specifically explored the home health and internet of health things (IoHT) research and identified the assisted living of elderly patients using health monitoring devices as a key theme in this area. Two key themes are identified by Li et al [26] for smart building research which are: (1) IoT, cloud computing, and wireless sensor network (WSN) for automation control and (2) balancing energy efficiency and human comfort using machine learning, and continuous monitoring.…”

Section: Related Workmentioning

confidence: 99%

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT Modelling

et al. 2022

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Homes are the building block of cities and societies and therefore smart homes are critical to establishing smart living and are expected to play a key role in enabling smart, sustainable cities and societies. The current literature on smart homes has mainly focused on developing smart functions for homes such as security and ambiance management. Homes are composed of families and are inherently complex phenomena underlined by humans and their relationships with each other, subject to individual, intragroup, intergroup, and intercommunity goals. There is a clear need to understand, define, consolidate existing research, and actualize the overarching roles of smart homes, and the roles of smart homes that will serve the needs of future smart cities and societies. This paper introduces our data-driven parameter discovery methodology and uses it to provide, for the first time, an extensive, fairly comprehensive, analysis of the families and homes landscape seen through the eyes of academics and the public, using over a hundred thousand research papers and nearly a million tweets. We developed a methodology using deep learning, natural language processing (NLP), and big data analytics methods (BERT and other machine learning methods) and applied it to automatically discover parameters that capture a comprehensive knowledge and design space of smart families and homes comprising social, political, economic, environmental, and other dimensions. The 66 discovered parameters and the knowledge space comprising 100 s of dimensions are explained by reviewing and referencing over 300 articles from the academic literature and tweets. The knowledge and parameters discovered in this paper can be used to develop a holistic understanding of matters related to families and homes facilitating the development of better, community-specific policies, technologies, solutions, and industries for families and homes, leading to strengthening families and homes, and in turn, empowering sustainable societies across the globe.

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Bibliometric Analysis of Home Health and Internet of Health Things (IoHT)

Cited by 7 publications

References 18 publications

Visualizing the Landscape of Home IoT Research: A Bibliometric Analysis Using VOSviewer

Visualizing the Landscape of Home IoT Research: A Bibliometric Analysis Using VOSviewer

Natural Disaster Education in School: A Bibliometric Analysis with a Detailed Future Insight Overview

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT Modelling

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