scholarly journals Bibliometric Analysis of Public Literature on Google Drive

Webology ◽  
2021 ◽  
Vol 18 (SI02) ◽  
pp. 107-124
Author(s):  
Noor Salizabinti Mohd Salleh ◽  
Azham Hussain ◽  
. .
Keyword(s):  
Bibliometric Analysis ◽  
Data Storage ◽  
Cloud Storage ◽  
Keyword Search ◽  
Subject Area ◽  
Document Type ◽  
Vos Viewer ◽  
Source Type ◽  
Google Drive ◽  
Productive Authors

Ever since cloud storage has been a trend for data storage technology, Google Drive has been widely used by users and research on the use of Google Drive has initiated starting from 2012. Based on the usefulness and benefits of Google Drive, there are many kinds of research has been conducted on this topic. Thus, this paper aims to analyze and report various types of published works related to Google Drive based on the data obtained from SCOPUS database as of May 2020. This study adopted a bibliometric analysis by using “Google Drive” keyword search and managed to retrieve 356 documents to-be analyzed. Standard bibliometric indicators has been used to present the result in this article; document type, source type, year of publication, languages of document, subject area, most active sources, keyword analysis, geographical distribution of documents, authorship and most productive authors, most influential institution, text and citation analysis. MS Excel, VOS viewer, and Publish and Perish 7 software had been utilize in order to analyze the gathered documents. The result shows there is an increased growth rate of research on Google Drive from 2012 until 2016. However, the number of research is decreasing slowly from 2017 until 2020. In total, there are 9 languages being used, 26 subjects area with one undefined, 73 countries with one undefined, 160 authors and 160 institutions.

scholarly journals Bibliomining and Comparison of Q4 and ESCI Indexed journals under Statistics and Probability Category

2021 ◽  
pp. 25-34
Author(s):  
Nadeem Shafique Butt
Keyword(s):  
Bibliometric Analysis ◽  
Data Extraction ◽  
R Package ◽  
Document Type ◽  
Statistics And Probability ◽  
Korean Journal ◽  
Increasing Demand ◽  
Source Citation ◽  
Ordered Statistics ◽  
Productive Authors

The field of ‘Statistics and Probability’ has expanded its scope over the last few decades and have become an integral part of many fields with continuously increasing demand. This manuscript aimed for at a bibliometric analysis and comparison of all published documents during 2015 – 2019, from journals in the study topic category of ‘Statistics and Probability’ for Q4 Impact Factor (IF) journals and Emerging Source Citation Index (ESCI) of Web of Science (WoS). Sources with incomplete data for study timeframe were excluded and 31 sources from Q4 IF and 32 from ESCI journals were selected yielding 12808 and 4294 documents respectively. After data extraction from WoS, the bibliometric analysis at; source, author and document levels, were performed using “Bibliometrix” R-package. Q4-IF sources produced around 3 times more documents than ESCI sources. Articles were the main document type for both categories. China and USA were leading countries for Q4-IF while India, USA and Korea were dominant among ESCI documents. Two authors, namely, ‘Cordeiro GM’ and ‘Alizadeh M’ were among the 10 most productive authors in both categories. Sources “Communications in Statistics-Theory and Methods” and “Korean Journal of Applied Statistics” were leading contributors for Q4-IF and ESCI category respectively. For both categories, mainly similar trends were observed for keywords and topic coverage. In both Q4-IF and ESCI journals ‘Maximum likelihood’ and ‘Ordered statistics’ were observed to be most predominant keywords. A consistent publication trend with few similarities was observed in terms of documents production over the years for these two categories.

scholarly journals Scientific Mapping of Industry 4.0 Research: A Bibliometric Analysis

2021 ◽  
Vol 15 (18) ◽  
pp. 129
Author(s):  
Huma Sikandar ◽  
Yamunah Vaicondam ◽  
Nohman Khan ◽  
Muhammad Imran Qureshi ◽  
Abrar Ullah
Keyword(s):  
Bibliometric Analysis ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
The United States ◽  
Common Information ◽  
Vos Viewer ◽  
Fourth Industrial Revolution ◽  
The Past ◽  
University Of Technology ◽  
Productive Authors

<p class="0abstract">The fourth industrial revolution is progressing very rapidly. This research aims to investigate the research patterns and trends of industry 4.0 research with a focus on manufacturing. This bibliometric analysis is performed on data of the past five years (2016 to 2020) retrieved from the Scopus database. This research is conducted on 1426 articles in which the top productive countries, authors, institutions, and most cited articles were investigated. Findings demonstrated that Italy, the United States, and China are the most active countries in terms of research publications. South China University of Technology (China) has been identified as the most productive institution.  Wan, J., Li, D., Rauch, E. were found to be the most productive authors. Industry 4.0 is primarily focused on the fields of engineering and computer science and sustainability is the most prolific journal. Co-occurrence analysis of keywords, co-authorship analysis of authors and countries were carried out along with bibliographic coupling of documents using VoS viewer which is the most common information visualisation software. This article summarises the growth of Industry 4.0 in the past five years and gives a short overview of the related works and applications of Industry 4.0.</p>

Cloud Storage Drive Forensics

2020 ◽  
pp. 31-38
Author(s):  
Himani Rawat
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Fixed Size ◽  
Google Drive ◽  
Day By Day

Data Storage is recently an emerging concern of this era. As the data is increasing day-by-day, storage has become a major issue. Although, there exists different kinds of storage mechanisms which include physical storage drives, cloud storages,Hybrid Storages & In-memory storages. But Cloud Storage application such as One Drive, Dropbox and Google Drive are more convenient as data is not limited to a fixed size. One Drive is one of the most popular storage drive. One Drive is a Cloud Storage Application which allows user to store, share and edit the file in the cloud based environment.

scholarly journals Flipped Learning in Education: A Content Analysis

2021 ◽  
Vol 18 (1) ◽  
pp. 111-139
Author(s):  
Rustam Haidov ◽  
Hanife Bensen
Keyword(s):  
Content Analysis ◽  
Cognitive Skills ◽  
Flipped Classroom ◽  
Subject Area ◽  
Flipped Learning ◽  
Research Papers ◽  
Teaching Methodologies ◽  
Innovative Teaching ◽  
Document Type ◽  
Source Type

Summary The continuously progressive education system of the 21st century requires the introduction of innovative teaching methodologies incorporating up-to-the-minute technology-oriented styles, which are capable of changing the traditional ways of conducting classes presenting teachers as the ultimate source of knowledge, with a new notion which considers teachers as facilitators and guiders in the world of information. A plethora of research has been conducted with respect to flipped learning, however, the number of research papers presenting content analysis is limited indicating the deficiency and lack of content analysis-based papers on Flipped Classroom in Education. Thus, to fill this gap in the literature, there is a demand for conducting a content analysis. In turn, the aim of this paper was to identify the importance and impact of the distributed documents on a Flipped Learning Model (FLM) in Education which was done by gathering data from the SCOPUS database with keywords ‘Flipped Classroom in Education’, within the range of ten years (2011-2020). All studies published in SCOPUS, were statistically analyzed and examined according to the year of publication, subject area, document type, country/territory, languages, source type, types of research and the research methods. It was found that the publications related to FLM in education had dramatically increased from the year 2011 to 2020. The findings of this study also highlighted the importance of FLM in education, especially in courses that require cognitive skills like social studies, medicine, and computer science.

scholarly journals Blockchain-Enabled Public Key Encryption with Multi-Keyword Search in Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhenwei Chen ◽  
Axin Wu ◽  
Yifei Li ◽  
Qixuan Xing ◽  
Shengling Geng
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Keyword Search ◽  
Third Party ◽  
Public Key ◽  
User Needs ◽  
Public Key Encryption ◽  
Smart Contract ◽  
Data Owner ◽  
And Performance

The emergence of the cloud storage has brought great convenience to people’s life. Many individuals and enterprises have delivered a large amount of data to the third-party server for storage. Thus, the privacy protection of data retrieved by the user needs to be guaranteed. Searchable encryption technology for the cloud environment is adopted to ensure that the user information is secure with retrieving data. However, most schemes only support single-keyword search and do not support file updates, which limit the flexibility of the scheme. To eliminate these problems, we propose a blockchain-enabled public key encryption scheme with multi-keyword search (BPKEMS), and our scheme supports file updates. In addition, smart contract is used to ensure the fairness of transactions between data owner and user without introducing a third party. At the data storage stage, our scheme realizes the verifiability by numbering the files, which ensures that the ciphertext received by the user is complete. In terms of security and performance, our scheme is secure against inside keyword guessing attacks (KGAs) and has better computation overhead than other related schemes.

A System Architecture for Data Storage in the Cloud

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Maryam Hammami ◽  
Hatem Bellaaj
Keyword(s):  
Data Storage ◽  
System Architecture ◽  
Cloud Storage ◽  
The Other ◽  
Important Data ◽  
Work In Progress ◽  
Flexible System ◽  
Other Hand ◽  
Data Manager ◽  
And Storage

The Cloud storage is the most important issue today. This is due to a rapidly changing needs and a huge mass of varied and important data to back up. In this paper, we describe a work in progress and propose a flexible system architecture for data storage in the Cloud. This system is centered on the Data Manager module. This module provides various functions such as the dispersion of data in fragments, encryption and storage of fragments... etc. This architecture proves to be very relevant. It ensures consistency between different components. On the other hand, it ensures the security and availability of data.

scholarly journals Bibliometric analysis of scientific literacy using VOS viewer: Analysis of science education

2021 ◽  
Vol 1796 (1) ◽  
pp. 012096
Author(s):  
Denti Nanda Effendi ◽  
Irwandani ◽  
Welly Anggraini ◽  
Agus Jatmiko ◽  
Henita Rahmayanti ◽  
...  
Keyword(s):  
Science Education ◽  
Bibliometric Analysis ◽  
Scientific Literacy ◽  
Vos Viewer

scholarly journals A Bibliometric Analysis of Behavioral Finance and Behavioral Accounting

2021 ◽  
Vol 24 (2) ◽  
pp. 198-230
Author(s):  
Bharati Singh
Keyword(s):  
Bibliometric Analysis ◽  
Behavioral Finance ◽  
Financial Literacy ◽  
Cognitive Biases ◽  
Research Work ◽  
Behavioral Accounting ◽  
Cognitive Constraints ◽  
Vos Viewer ◽  
Emerging Themes ◽  
And Performance

This paper presents a bibliometric analysis of relevant publications in the field of behavioral finance and behavioral accounting. The analysis shows that the emerging themes of research in recent years in behavioral finance is on investors’ sentiment, social media, investors’ attention, and financial literacy. In the field of behavioral accounting, biases such as  overconfidence, framing effects or cognitive constraints on information processing, have been explored in greater detail. Other than cognitive biases, this field includes studies such as behavioral tax, organizational ecology, and performance evaluative style of organization, among others. Interestingly, our analysis suggests that research in behavioral accounting is comparatively underdeveloped than research in behavioral finance. This bibliometric analysis has been extended by network analysis using, “Visualization of similarities, (VOS) viewer” software. Using the themes generated here the direction for future scope of research work has been discussed.

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