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

Liposomes, The Attractive Vehicles for Drug Delivery: A Scientometric Mapping of Web of Science Indexed Literature

The Liposome is a spherical-shaped vesicle composed of one or more phospholipid bilayers, closely resembling cell membranes' structure. It has a novel drug delivery system (NDDS); the lipid bilayer can fuse with other bilayers, such as the cell membrane, thus delivering the liposome contents. The present study has been conducted to map the research productivity of 'liposomes as drug delivery' between 1980 and 2021. This study employed the scientometric method to analyze 629 research papers indexed in the Web of Science database. Different bibliometrics indicators were used to assess the annual research growth, prolific authors, authorship pattern, funding agencies, productive source, organization, country, author keywords, cited paper and cited references, etc. Biblioshiny, Bibexcel, VOSviewer, and MS Office were used to analyze the 629 published papers. The findings show that 629 publications were published between 1980 and 2001, with 24674 citations. 2018 and 2019 recorded the highest research with 49 publications and 758 and 471 citations, respectively. Journal of Controlled Release was the most relevant source in the field, with 45 publications and 3063 citations. LIU Y was the most productive author, with 15 publications and 342 citations. Northwestern University USA has the highest record with 11 publications, and the USA was the most productive country with 181 publications, while China emerged as a leading collaborator with the USA (19 publications). Liposomes and cationic liposomes were identified as the most important research themes. Permeability, ocular drug delivery, Chemotherapy, Cancer therapy, Hypoxia, Combination therapy, and hyaluronic acid were research topics that had gained recent popularity. At the same time, Vesicles targeted drug delivery, cellular uptake, ultrasound, Chitosan, and Pegylation were identified as the research areas that require further attention in the field of liposomes as drug delivery research

Use of Internet by the undergraduate and postgraduate students at the University of Gour Banga, Malda, West Bengal

The purpose of this study is to examine the usages of the internet by the undergraduate and postgraduate students at university of Gour Banga, Malda, West Bengal. The structured questionnaire distributed to the students through the Google forms. One hundred eighty questionnaires selected for data analysis and interpretation. The research investigated the various facets of internet use such as the purpose of usages, mostly used sources and services, time spent, heavily used search engine and websites, difficulties faced and level of satisfaction. The analysis reflects that 55.56% of respondents used the internet ‘several times a day’. The 89.44% accessed the internet through the smartphone and Google websites used by 99.44%. 92.22% used the internet for ‘social media. 92.77% use to consult ‘electronic reference and information resources. 48.89% agree that they utilized the internet, slow download speed (80.55%) was the major problem faced while accessing the internet.53.33 % were satisfied while using the internet

Research Performance in the field of big data in India: A Scientometric analysis based on Scopus database

Abstract: The present study has been carried out to find out the research performance in the field of big data in India during 2010-2019 as indexed in the Scopus database. A total 7502 research publication has been found in the Scopus during the 10 years period of 2010-2019 and were downloaded for analyze with the help of Microsoft excel and vosviewer. The study also provide comparative performance of different Scientometric parameters including total research productivity, yearly research output, authorship pattern, International collaboration, Institution wise collaboration, Degree of collaboration, RGR & DT, Source wise research publication, Subject wise publication, and most prolific authors etc. The study revealed that publication in the field of big data has increased exponentially during the study periods of 2010-2019. Most of the researcher published in conference papers i. e. 53.57% (2019). It is also observed that most preferred subject of the researcher is “Computer Science”. The relative growth rate decreased from 2010 (0.73) to 2019 (0.25) While the doubling time of the publication increased from 0.95 in 2010 to 2.72 in 2019. The Advances in Intelligent Systems and Computing has 422 (5.62%) publications and is the more popular source of publications on big data research publication in India and the degree of collaboration is 0.93. It has been considered that the scientific research production in the field of big data is increasing exponentially due to the collaboration among the researcher from different subjects

Research Performance in the field of big data in India: A Scientometric analysis based on Scopus database

Abstract: The present study has been carried out to find out the research performance in the field of big data in India during 2010-2019 as indexed in the Scopus database. A total 7502 research publication has been found in the Scopus during the 10 years period of 2010-2019 and were downloaded for analyze with the help of Microsoft excel and vosviewer. The study also provide comparative performance of different Scientometric parameters including total research productivity, yearly research output, authorship pattern, International collaboration, Institution wise collaboration, Degree of collaboration, RGR & DT, Source wise research publication, Subject wise publication, and most prolific authors etc. The study revealed that publication in the field of big data has increased exponentially during the study periods of 2010-2019. Most of the researcher published in conference papers i. e. 53.57% (2019). It is also observed that most preferred subject of the researcher is “Computer Science”. The relative growth rate decreased from 2010 (0.73) to 2019 (0.25) While the doubling time of the publication increased from 0.95 in 2010 to 2.72 in 2019. The Advances in Intelligent Systems and Computing has 422 (5.62%) publications and is the more popular source of publications on big data research publication in India and the degree of collaboration is 0.93. It has been considered that the scientific research production in the field of big data is increasing exponentially due to the collaboration among the researcher from different subjects

Scientometric review of Archnet-IJAR: International Journal of Architectural Research: A study of Scopus based evidence

Purpose: The study conducted to assess the Archnet-IJAR journals based on scientometric analysis, a systematic approach to the comprehensive review of research trends and productivity. Methodology: The scientometric tools used to examine the journal\u27s scientific research performances during 2011-2020 collected data from the Scopus database and analyzed in Vosviewer and Biblioshiny ((R language). Results: There are 424 research papers published from 2011 to 2020. A steady increase noted in the development of literature, out of 694 authors and 547 multi-authored documents found. Architecture, Architectural Education, and Design Studio found highly used author keywords. Qatar identified as the most impactful country with 24 papers and 14 citations. Originality: The systematic approach in reviewing this journal\u27s research trend and productivity helps the researcher identify the trends, authors, and affiliation for research collaboration. The detailed analysis helps in the journal\u27s self-assessment and also to pinpoint the needs in further development

Research Productivity on Human Migration in the Himalayan Region during 1947-2019: a Bibliometric Study

Purpose: The purpose of the present study is to find research productivity on \u27human migration in Himalayan region\u27 from 1947 to 2019. Methodology: The data of the present study have been collected from the International bibliographic database \u27Scopus\u27. Total 582 documents were extracted from 282 sources for the Himalayan region (China, India, Pakistan, Nepal, Tajikistan, Myanmar, Bhutan, and Afghanistan) under the category of \u27Social Science\u27 for the period 1947-2019. Data analysis was conducted by using bibliometric software, namely RStudio\u27s Biblioshiny and Microsoft office, version 2013. Results: The results reveal that the year 2019 was the most productive year for human migration publications (86 papers). Out of 582 documents, 506 publications are in research paper form. American Journal of Physical Anthropology (22 papers) is the most favored journal by the researchers. Li X is the most prolific author, publishing 23 articles on the topic. China (153) is a highly collaborative and most cited (2505) countr

Estimating the quality of Arabian Journals using bibliometric indicators

Scholarly published scientific journals’ quality and the standard were measured in recent years based on their scientific indicators such as Journal Impact Factor (IF), citation values, and journal ranking values. Any experimental writer and researcher will investigate these factors of journals before publishing their research output. Analyzing and comparing these indicators among different bibliographic databases are welcomed by the research community and will give them some insight to decide or to choose which journals they need to select for publishing their research outputs. The main objective of the research work undertaken was to assess the impact and visibility of 66 Arabian journals using JCR bibliometric indicators for comparison of journal quality, i.e. comparison of Journal Impact Factor (JIF), Eugen Factor Score (ES), Cite Score (CS), Source normalized impact per publication (SNIP), Scimago Journal Ranking (SJR), and H5 index. This study also aimed to determine whether these indices were an alternative to each other for estimating the quality of 66 Arabian journals. The research data was collected from the Web of Science (WoS) and Scopus databases. The JIF and ES were taken from the WoS and CS, SNIP and SJR from Scopus. The analysis for this study was done using Microsoft Excel and SPSS software. Maximum Pearson’s (r) statistical correlation was found between JIF and CS (r=0.844) while Maximum Spearman’s (ρ) statistical correlation was found between JIF and CS (ρ=0.843). A linear correlation was found between the values and ranks of the indices. Hence, we conclude that the open-access indicator SJR can be used as an alternative to the JI

Measurement and modelling of dielectric properties of different animal feed resources as a function of feed type and moisture content

Dielectric properties of any particular material will determine the level of microwave (MW) heating. Therefore, measurement of the dielectric properties of MW treatment subject materials is necessary. This study investigated the dielectric properties of six roughages and three concentrate animal feeds across the microwave frequency range of 1 × 109 to 5 × 109 Hz. Six treatment groups, named control (at equilibrium moisture constant), oven dried (0% moisture), 25% moisture added, 50% moisture added, 75% moisture added, and 100% moisture added groups were prepared for the study. Three separate replications and five observations for each replication were used to assess the dielectric properties of these materials. The results showed that for increasing moisture content, from oven-dried, though the control status, to 100% added moisture, both the dielectric constant (real part) and the dielectric loss factor (imaginary part) increased for both the roughages and concentrates. However, the responses were not linear. The oven-dried plant samples' dielectric properties were very low compared with those of the higher moisture content samples. Thus, the sample's moisture content was the dominant contributor to the feed samples' dielectric behavior. Among all the feed samples, faba bean and wheat grain showed the highest response to added moisture. Mathematical models were developed to explain the dielectric properties of feeds as a function of frequency and moisture content. The goodness of fit (r2) for these models' real part varied between 0.85–0.99 for roughage and 0.98–0.99 for concentrate feed type. On the other hand, the goodness of fit for the imaginary part varied between 0.59–0.78 for roughage, and 0.81–0.93 for concentrate feeds

Assessment of literature growth in Anthropometric measurement research: A bibliometric analyses of Scopus indexed publications

Purpose: To evaluate the global published literature in anthropometric measurement research between 1971-2021. Anthropometry is the study of the size and shape of the human body generally refers to the measurements and data used to characterize the size of human users. Method: Scientometric and bibliometric tools applied to analyze the research published indexed in the Scopus database. The study focused on indices, namely annual research growth, impactful author, relevant source, country collaboration, productive organization, country, etc. MS Excel, Bibexcel, RStudio (Biblioshiny), Scientopy, CiteSpace, and VOSviewer are used for the quantitative analysis. Results: There is steady growth in the literature of 483 from 1971 till date. 2020 was the most productive year with 58 publications, more than thirteen hundred authors participated in the research, and three authored collaborations were found more popular. The journal articles are the most preferred form. Applied Ergonomics recorded as the highly impactful source, and the USA observed as the most productive country. The \u27National natural science foundation of China\u27 represented as the most active and potent funding agenc