A scientometric analysis and review of fall from height research in construction

Fall from height (FFH) in the construction industry has earned much attention among researchers in recent years. The present review-based study introduced a science mapping approach to evaluate the FFH studies related to the construction industry. This study, through an extensive bibliometric and scientometric assessment, recognized the most active journals, keywords and the nations in the field of FFH studies since 2000. Analysis of the authors’ keywords revealed the emerging research topics in the FFH research community. Recent studies have been discovered to pay more attention to the application of Computer and Information Technology (CIT) tools, particularly building information modelling (BIM) in research related to FFH. Other emerging research areas in the domain of FFH include rule checking, and prevention through design. The findings summarized the mainstream research areas (e.g., safety management program), discussed existing research gaps in FFH domain (e.g., the adaptability of safety management system), and suggests future directions in FFH research. The recommended future directions could contribute to improving safety for the FFH research community by evaluating existing fall prevention programs in different contexts; integrating multiple CIT tools in the entire project lifecycle; designing fall safety courses to workers associated with temporary agents and prototype safety knowledge tool development. The current study was restricted to the FFH literature sample included the journal articles published only in English and in Scopus

REJUVENATING LIBRARIES FROM THE CLOUD: A BIBLIOMETRIC ANALYSIS OF CLOUD COMPUTING

Cloud computing is a service through which we access in a remote application server and consume computing services through the internet. This modification of cloud computing has been quite popular since the last decade in enabling computing. Cloud computing plays a key role in the development of Modern Library. Modern libraries are being rejuvenated rapidly through cloud computing. The Bibliometric study of the publication on cloud computing has been done in the research paper presented. Web of Science Core collection database has been used for data collection. Total 11776 articles were retrieved on Cloud Computing through Web of Science database. The retrieved data were inputted in MS Excel sheet and various tables have been made for analysis of data. R. Buyya is top author with 138 articles followed by J. Lee with 114. In 2018, there were 2667 papers published on computing cloud followed by 2247 in year 2017.As per country wide, Chine is on top followed by USA. The India is on third position with 997 research papers. The Top Journal is Future Generation Computer Systems the International Journal of Escience Followed by IEEE Access and Journal of Supercomputing

A Bibliometric Analysis of Health Cloud Scientific\u27s Productions

Introduction: Cloud computing is an innovative paradigm meeting the user\u27s demand for accessing a shared source comprising adjustable computational sources, such as servers and applied programs. An increase in the costs of information technology, emerging problems with updating software and hardware, and expanded storage volume, make it possible to utilize cloud-based health information cases. Organizations have focused on cloud platform-based services as a new opportunity to develop the software industry for healthcare. The aim of the research is to conduct a bibliometric study of the scientific productions on health cloud . Methodology: The present study, applied in nature, was conducted using a bibliometric and scientometric method. It was conducted in 2018 using PubMed and key portmanteaus over the period 2009-2018. Subjected to the application of input and output standards, 491 research papers were selected for analysis. Findings: The findings revealed that the production of health cloud-focused papers over a decade, excluding those in 2017, had an upward trend. The US, India, and China were the most productive in this respect. Having presented 5 papers on cloud computing, Costa, Lee, Malamateniou, Stoicu-Tivadar, Vassilacopoulos, writers, were most productive. The greatest co-occurrence was that of the words Internet, electronic health records, computer security, information storage and retrieval, algorithms, confidentiality, female, male, delivery of health care, computer communication networks, medical informatics, mobile applications, data mining, and health information exchang. Conclusion: The results of the present study indicate the leading status of the USA in health cloud publications. In view of the recognition received for using cloud computing, the trend of the papers in the base was upward in nature. On analysis of the co-occurrence of words, the largest cluster was that of cloud computing with 6 items focused on: The Internet of Things (IoT), Electronic health record, healthcare, and e-health in one cluster, indicating the continuity of the issues

Scientometric Analysis of Synthetic Fiber Literature

A Quantitative study of research papers published in Synthetic Fiber Research from 2008-2017 was undertaken to investigate the research output in this field. The study made by applying various parameters for capturing the trend-growth pattern of the literature, Relative Growth Rate, Doubling Time, authorship pattern, Prolific author and Top ranking Journals etc., The data were obtained from scopus database. Articles published from 2008 – 2017 were taken for this study. A total of 2594 articles were published in this field with an yearly average of 259.4 articles. . Out of the 2594 articles, the majority of the articles 421 (16.23%) were published in the year 2017. The RGR in the year 2009 found to be 2.05 and in the end year 2017 found to be 0.12. This shows that the RGR declining trend is linear. Among the Authorship patterns, the major contribution of articles were from three authors 534 (20.59%). The Journal named “Advanced Materials Research” ranked in the top position in contributing articles 59 (2.28%) in this field. The highly prolific author is Monteiro S.N who has contributed 41 articles 0.47 %

To Improve Data Storage Security Levels in the Cloud

Now-a-Days Cloud Computing is an emerging technology, that works on the principle of pay-per-use. It offers services like Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS), Storage as a Service and many more. Cloud computing used for database and software applications to centralize the data. All the cloud users openly store their data on the cloud service provider’s service centers. Here, the management of data and services are not fully confidential. So that the security of the cloud stored data becomes an open challenging task in the field of Cloud Computing. To increase the levels of data security in the cloud, this paper deals with some techniques like public auditability, Homomorphism Linear Authenticator (HLA)

Data Science: A Study from the Scientometric, Curricular, and Altmetric Perspectives

This research explores the emerging field of data science from the scientometric, curricular, and altmetric perspectives and addresses the following six research questions: 1. What are the scientometric features of the data science field? 2. What are the contributing fields to the establishment of data science? 3. What are the major research areas of the data science discipline? 4. What are the salient topics taught in the data science curriculum? 5. What topics appear in the Twitter-sphere regarding data science? 6. What can be learned about data science from the scientometric, curricular, and altmetric analyses of the data collected? Using bibliometric data from the Scopus database for 1983 – 2021, the current study addresses the first three research questions. The fourth research question is answered with curricular data collected from U.S. educational institutions that offer data science programs. Altmetric data was gathered from Twitter for over 20 days to answer the fifth research question. All three sets of data are analyzed quantitatively and qualitatively. The scientometric portion of this study revealed a growing field, expanding beyond the borders of the United States and the United Kingdom into a more global undertaking. Computer Science and Statistics are foundational contributing fields with a host of additional fields contributing data sets for new data scientists to act, including, for example, the Biomedical and Information Science fields. When it comes to the question of salient topics across all three aspects of this research, it was revealed that a large degree of coherence between the three resulted in highlighting thirteen core topics of data science. However, it can be noted that Artificial Intelligence stood out among all the other groups with leading topics such as Machine Learning, Neural Networks, and Natural Language Processing. The findings of this study not only identify the major parameters of the data science field (e.g., leading researchers, the composition of the discipline) but also reveal its underlying intellectual structure and research fronts. They can help researchers to ascertain emerging topics and research fronts in the field. Educational programs in data science can learn from this study about how to update their curriculums and better prepare students for the rapidly growing field. Practitioners and other stakeholders of data science can also benefit from the present research to stay tuned and current in the field. Furthermore, the triple-pronged approach of this research provides a panoramic view of the data science field that no prior study has ever examined and will have a lasting impact on related investigations of an emerging discipline

Scientometric analysis of BIM-based research in construction engineering and management

The purpose of this paper is to summarize the latest research of BIM adoption in construction engineering and management (CEM) and propose research directions for future scholarly work. During the recent decade, building information modeling (BIM) has gained increasing applications and research interest in the construction industry. Although there have been review-based studies that summarized BIM-based research in the overall architecture, engineering and construction (AEC) area, there is limited review that evaluates the current stage of BIM-based research specifically in the CEM sub-area. Design/methodology/approach CEM falls into the scope of AEC. It involves construction-related tasks, activities and processes (e.g. scheduling and cost estimates), issues (e.g. constructability), as well as human factors (e.g. collaboration). This study adopted a holistic literature review approach that incorporates bibliometric search and scientometric analysis. A total of 276 articles related to BIM applied in CEM were selected from Scopus as the literature sample for the scientometric analysis. Findings Some key CEM research areas (e.g. CEM pedagogy, integrated project delivery, lean and off-site construction) were identified and evaluated. Research trends in these areas were identified, and analyses were carried out with regard to how they could be integrated with BIM. For example, BIM, as a data repository for ACE facilities, has substantial potential to be integrated with a variety of other digital technologies, project delivery methods and innovative construction techniques throughout the whole process of CEM. Practical implications As BIM is one of the key technologies and digital platforms to improve the construction productivity and collaboration, it is important for industry practitioners to be updated of the latest movement and progress of the academic research. The industry, academics and governmental authorities should work with joint effort to fill the gap by first recognizing the current needs, limitations and trends of applying BIM in the construction industry. For example, it needs more understanding about how to address technical interoperability issues and how to introduce the integrated design and construction delivery approach for BIM implementation under the UK BIM Level 2/3 framework. This study contributed to the body of knowledge in BIM by proposing a framework leading to research directions including the differences of BIM effects between design-bid-build and other fast-track project delivery methods; the integration of BIM with off-site construction; and BIM pedagogy in CEM. It also addressed the need to investigate the similarities and differences between academia and industry toward perceiving the movement of BIM in construction field work

Cloud Computing in Context with Library and Information Science (LIS): A Scientometric Analysis and Knowledge Mapping

Cloud computing (CC) has been a buzzword in recent years. The application of cloud computing has been seen in almost all domains. It has also sparked interest in Libraries and the Information field because it provides new solutions to the emerging problem. The study aims to map LIS's global cloud computing literature between 2010 and 2021. Scientometric methods were employed to gauge the global research performance on cloud computing LIS. The analysis also identifies the leading countries, Institutions, authors, sources, funding agencies, authorship pattern, international collaboration, and most used author keywords on CC literature in LIS. The research data were retrieved from the Scopus database. 808 publications were downloaded and analyzed with the help of bibliometric tools such as Biblioshiny, Bibexcel, VOSviewer, and Microsoft Excel. The study results showed that research on cloud computing in LIS has a mounting trend in publications and citations during the 12-year study period. The highest number of research papers were published in 2020 (n=135), China produced the maximum research in the field with 194 publications, and the top three organizations identified from Taiwan contributed the maximum research. Cloud computing, big data, and Knowledge Management were acknowledged as LIS researchers' most important research area. However, e-learning, library services, systematic reviews, bibliometrics, and blockchain have gained recent research absorption. Two authorship patterns were the most prevalent among the LIS researchers, and the authors from China and the USA preferred to collaborate highest in the field