Search results

The purpose of the present study is to identify the active and dead links of uniform resource locators (URLs) associated with web references and to compare the effectiveness of Chrome, Google and WayBack Machine in retrieving the dead URLs.

The web references of the Library Hi Tech from 2004 to 2008 were selected for analysis to fulfill the set objectives. The URLs were extracted from the articles to verify their accessibility in terms of persistence and decay. The URLs were then executed directly in the internet browser (Chrome), search engine (Google) and Internet Archive (WayBack Machine). The collected data were recorded in an excel file and presented in tables/diagrams for further analysis.

From the total of 1,083 web references, a maximum number was retrieved by the WayBack Machine (786; 72.6 per cent) followed by Google (501; 46.3 per cent) and the lowest by Chrome (402; 37.1 per cent). The study concludes that the WayBack Machine is more efficient, retrieves a maximum number of missing web citations and fulfills the mission of preservation of web sources to a larger extent.

A good number of studies have been conducted to analyze the persistence and decay of web-references; however, the present study is unique as it compared the dead URL retrieval effectiveness of internet explorer (Chrome), search engine giant (Google) and WayBack Machine of the Internet Archive.

The web references of a single journal, namely, Library Hi Tech, were analyzed for 5 years only. A major study across disciplines and sources may yield better results.

URL decay is becoming a major problem in the preservation and citation of web resources. The study has some healthy recommendations for authors, editors, publishers, librarians and web designers to improve the persistence of web references.

This study aims to explore the scholarly literature published on “Terrorism” by India and Pakistan and has an in-depth bibliometric analysis of its various facets.

Data for the study were harvested from the “Web of Science” one of the widely used and trusted indexing and abstracting source used by research scholars all over the world. The search was confined to the literature published on “Terrorism” by India and Pakistan. A total of 125 results were retrieved and out of them 105 were found relevant. The data were later analyzed on different parameters.

India and Pakistan have started to conduct and publish research on “Terrorism” since 1990. However, only five articles were published till 2000. Presently, out of total 105 publications, India contributed 57 (54 per cent) and Pakistan contributed 48 (46 per cent) articles on Terrorism. Majority of the articles (93 per cent) were contributed by the individual researchers without any financial support from the funding agencies. The authorship pattern of the articles revealed that 40.95 per cent (43) articles were contributed by single author, whereas 59.05 per cent (62) were authored in collaboration. In terms of research collaboration, Pakistani authors collaborated with authors of six nations of the world, whereas Indian authors collaborated only with researchers of three countries. Most of the research articles were published from the authors affiliated with universities and other higher educational institutions (64.76 per cent), followed by colleges (12.38 per cent) and other government departments. Most of the articles were published during last five years from 2011-2015 (52.38 per cent), followed by 2006-2010 (28.57 per cent). These articles were published in more than 80 journals and the majority were published from England (36, 34.29 per cent) followed by United States of America (26, 24.76 per cent) and Netherlands (13, 12.38 per cent) simultaneously.

The findings of the study need to be cautioned as the data were harvested from “Web of Science” only.

The paper is useful for politicians, defense ministries, academicians, researchers and many other interested agencies such as human rights organizations or activists.

This is the first paper providing information on research output of India and Pakistan on Terrorism and will serve as bed rock for future research in the field.

The purpose of the study is to examine how far search engines have succeeded in retrieving electronic theses and dissertations (ETDs) using different search techniques and approaches. This study also compared the search results of search engines to identify the most suitable search engine for searching and retrieving the ETDs.

Fifty ETDs have been selected using systematic random sampling techniques from Shodhganga (a reservoir of Indian theses). These ETDs have been searched through prominent search engines such as Google, Google Scholar, Yahoo and Open Access Theses and Dissertation (OATD) using different search approaches and techniques.

The overall performance of the search engines revealed that Google retrieved most of the ETDs (89%) followed by OATD (88.5%), Yahoo (78%) and Google Scholar (76%), respectively.

The results have brought into light interesting findings regarding search engines in retrieving grey literature.

Data sharing is increasingly being recognized as an essential component of scholarly research and publishing. Sharing data improves results and propels research and discovery forward. Given the importance of data sharing, the purpose of the study is to unveil the present scenario of research data repositories (RDR) and sheds light on strategies and tactics followed by different countries for efficient organization and optimal use of scientific literature.

The data for the study is collected from registry of RDR (re3data registry) (re3data.org), which covers RDR from different academic disciplines and provides filtration options “Search” and “Browse” to access the repositories. Using these filtration options, the researchers collected metadata of repositories i.e. country wise contribution, content-type data, repository language interface, software usage, metadata standards and data access type. Furthermore, the data was exported to Google Sheets for analysis and visualization.

The re3data registry holds a rich and diverse collection of data repositories from the majority of countries all over the world. It is revealed that English is the dominant language, and the most widely used software for the creation of data repositories are “DataVerse”, followed by “Dspace” and “MySQL”. The most frequently used metadata standards are “Dublin Core” and “Datacite metadata schema”. The majority of repositories are open, with more than half of the repositories being “disciplinary” in nature, and the most significant data sources include “scientific and statistical data” followed by “standard office documents”.

The main limitation of the study is that the findings are based on the data collected through a single registry of repositories, and only a few characteristic features were investigated.

The study will benefit all countries with a small number of data repositories or no repositories at all, with tools and techniques used by the top repositories to ensure long-term storage and accessibility to research data. In addition to this, the study provides a global overview of RDR and its characteristic features.

Social networking sites (SNS) have become popular destinations for college students all over the world. The minds of the college students have been steadily taking over by the influence of social networking, and this can impact their ability for doing research. Against this backdrop, this paper aims to investigate the role of SNS in enhancing the research activities of the degree college students in the Srinagar district of Kashmir, J&K, India.

A survey method was used to conduct the study, and Cochran’s sampling formula was applied to select the sampling size. Data were collected with the aid of a well-designed and structured questionnaire using Google forms. Besides, the focus group discussions were conducted to get varied opinions.

The findings revealed that the majority of the students agree or strongly agree that SNS help them in interacting with researchers, reading research content, keeping them abreast of research articles, knowing research trends, developing research aptitude and facilitating logical thinking and reasoning. The study confirmed that SNS help in enhancing the research traits of college students. However, students have been cautioned to make proper and judicious use of SNS.

The study is limited to the college students of Srinagar, Jammu and Kashmir (India), and the results cannot be generalised across regions and countries.

To the best of the authors’ knowledge, the study, being a part of PhD programme, is the original work of great value. It investigates the role of SNS in enhancing the research traits of college students and brings into light various hidden facts.

The purpose of the study is to conduct a scientometric analysis of cybersecurity literature indexed in the core collection of the Web of Science for a period of ten years (2011–2020).

Cybersecurity is a focused topic of research across the globe. To identify the global research productivity in the field, the terms “cybersecurity, cyber-security, web security, information security, computer security, etc.” were used for retrieving the publications in the advanced search mode of the database “Web of Science”, limiting the time frame for 2011– 2020. The results retrieved were downloaded in the Excel file for further analysis and interpretation. The harvested data was analysed by using scientometric techniques to measure the progress such as growth rate, doubling time and author collaborations. Besides, the Biblioshiny and VOSviewer software were used for mapping networks.

The research output in the field of cybersecurity has shown an increasing trend during 2011–2020, and the maximum number of scholarly publications was published in 2020 (1,581), i.e. more than 715% of 2011 (221). A good number of countries (93) have contributed globally in cybersecurity research, and the highest share in research publications was reported by the USA (23.55%), followed by China (23.24%), South Korea (5.31%), UK (5.28%) and India (4.25%). The authorship patterns in cybersecurity publications show a collaborative trend, as most articles have been published by multiple authors. Total 5,532 (90.14%) articles have been published in co-authorship, whereas only 605 (9.86%) articles have been published by single authors. Keyword analysis shows that the most common keyword research by the authors is cybersecurity and its variants such as “cyber security” and “cyber-security” (1,698) followed by security (782), computer security (680) and information security (329).

The database studied for the work does not represent the total literary output available on the theme. There are plenty of other databases, such as Scopus, Compendex, INSPEC, IEEE Xplore, arXiv, contributing to the same theme as well.

The findings of the study may help researchers, information technologists, library professionals and information specialists to identify the research progress, authorship patterns, collaborative networks and hot topics of research in the field of cybersecurity. Besides, it will assess the global response to the cybersecurity issue.

The study is the scientometric analysis of the cybersecurity based on current literature and will highlight the progress and development of global research in the said field.

The study's main purpose is to scrutinize Google Scholar profiles and find the answer to the question, “Do authors play fair or manipulate Google Scholar Bibliometric Indicators like h-index and i10-index?”

The authors scrutinized the Google Scholar profiles of the top 50 library and science researchers claiming authorship of 21,022 publications. The bibliographic information of all the 21,022 publications like authorship and subject details were verified to identify accuracy, discrepancies and manipulation in their authorship claims. The actual and fabricated entries of all the authors along with their citations were recorded in the Microsoft Office Excel 2007 for further analyses and interpretation using simple arithmetic calculations.

The results show that the h-index of authors obtained from the Google Scholar should not be approved at its face value as the variations exist in the publication count and citations, which ultimately affect their h-index and i10 index. The results reveal that the majority of the authors have variations in publication count (58%), citations (58%), h-index (42%) and i10-index (54%). The magnitude of variation in the number of publications, citations, h-index and i10-index is very high, especially for the top-ranked authors.

The scope of the study is strictly restricted to the faculty members of library and information science and cannot be generalized across disciplines. Further, the scope of the study is limited to Google Scholar and caution needs to be taken to extend results to other databases like Web of Science and Scopus.

The study has practical implications for authors, publishers, and academic institutions. Authors must stop the unethical research practices; publishers must adopt techniques to overcome the problem and academic institutions need to take precautions before hiring, recruiting, promoting and allocating resources to the candidates on the face value of the Google Scholar h-index. Besides, Google needs to work on the weak areas of Google Scholar to improve its efficacy.

The study brings to light the new ways of manipulating bibliometric indicators like h-index, and i10-index provided by Google Scholar using false authorship claims.

The purpose of this study is to measure the quality of nuclear science and technology research using the scientometric indicators, like activity index, attractivity index and publication efficiency index.

The present scientometric study is based on the bibliographic data extracted from the core collection of the Web of Science database from 1989 to 2019. The data was collected using the advanced search feature, with a search string of 28 related terms. The bibliographic data for all the journal articles, excluding all other formats, was downloaded for statistical analysis.

The present study highlights the growth pattern and the research efforts devoted to the field of nuclear science and technology worldwide, as reflected through the Core Collection of the Web of Science database, for 31 years from 1989 to 2019. The USA has emerged as the topmost producer, with a total share of almost 29% with respect to the world literature followed by Japan, Germany, France and UK. However, the relative citation impact has been the highest for Netherlands followed by the USA, Germany, France and UK, respectively. The study depicted that the activity index, also called as the relative performance indicator, has been the highest for the USA, whereas the attractivity index has been the highest for China, indicating its dominance in attracting citations to its publications in the field of nuclear science and technology. The publication efficiency index, the value has been the maximum for Iran, for which the value has been greater than 1 (1.618). The measure suggests that Iran’s research effectiveness in the field of nuclear science and technology has been more than the research effort devoted to the field.

The paper was based on the data retrieved from a single database, and the results may vary across other databases. Hence, caution should be taken while generalizing the findings.

Several scientometric studies have taken place in the field of nuclear science and technology, particularly in its allied branches, but none of the studies has focused on evaluating the research efforts carried out by the countries in terms of activity index, attractivity index and publication efficiency index, and the present study is an attempt to fill the gap.

The present study aims to measure the global research landscape on coronavirus indexed in the Web of Science from 1989 to 2020. The study examines growth rates, authorship trends, institutional productivity, collaborative networks and prominent authors, institutions and countries.

The research literature on coronavirus published globally and indexed in the Web of Science core collection was retrieved using the term “Coronavirus” and its related and synonymous terms (e.g. COVID-19, SARS-COV, SARS-COV-2 and severe acute respiratory syndrome coronavirus) as per the Medical List of Subject Headings. A total of 5,625 publications were retrieved; however, the study was restricted to articles only (i.e. 4,471), and other document types were excluded. Quantitative and visualization techniques were used for data analysis and interpretation. VOSViewer software was employed to map collaborative networks of authors, institutions and countries.

A total of 4,471 articles have been published on coronavirus by 99 countries of the world with the maximum contribution from the USA, followed by the People's Republic of China. The United States, China, Canada, Netherlands and Germany are the front runners in the collaborative network and form strong sub-networks with other countries as well. More than 1,000 institutions collaborate in the field of coronavirus research among 99 contributing countries. The authorship pattern shows that 97.5% of publications are contributed by authors in collaboration in which 77.5% of publications are contributed by four or more than four authors. The range between degree of collaboration (DC) varies from 0.89 in 1993 to 1 in 2000 with an average of 0.96 from 1989 to 2020. The results confirm that the coronavirus research is carried out in teamwork at the individual, institutional and global levels with high magnitude and density of collaboration. The relative growth of the literature has shown inconsistency as a decreasing trend has been observed from 2007 onwards, thereby increasing the doubling time from 4.2 in the first ten years to 17.3 in the last ten years.

The study is limited to the publications indexed in the Web of Science; the findings cannot be generalized across other databases.

The results of the study may help medical scientists to identify the progress in COVID-19 research. Besdies, it will help to identify the prolific authors, institutions and countries in the development of research.

The current COVID-19 pandemic poses urgent and prolonged threats to the health and well-being of the population worldwide. It has not only attacked the health of the people but the economy of nations as well. Therefore, it is feasible to know the research landscape of the disease to conquer the problem.

The current COVID-19 pandemic poses urgent and prolonged threats to the health and well-being of the population worldwide. It has not only attacked the health of the people but also the economy of nations as well. Therefore, it is feasible to know the research landscape of the disease to conquer the problem.

This paper aims to identify the scholarly nature of the results retrieved by the Google Scholar on the five major global problems, i.e. global warming, economic recession, terrorism, HIV AIDS and child labour.

The five terms (global warming, economic recession, terrorism, HIV AIDS and child labour) were searched into the Google Scholar database, and the first 50 retrieved hits were manually analysed to record the relevant bibliographic details. The scholarship of the results was measured by quality indices like h-index, Altmetrics and Journal Impact Factor. The Scopus – the world’s biggest abstract and citation database – was used to identify the h-index of the prolific authors, citations of articles and impact factor of journals.

The study reveals that Google Scholar retrieves a good number of publications on the selected global problems from reputed publishers such as Nature Publishing Group, Elsevier, Cambridge University Press, Blackwell and Sage and published from well-developed countries such as the USA, UK and Switzerland. Google Scholar mostly retrieves articles and research papers from qualitative journals having a good impact factor such as Nature, Science, The Lancet, American Journal of Public Health, The Economic Journal, Social Science and Medicine and Annals of Tourism Research. These articles and books are contributed by the reputed authors having high h-index. The journal articles and books retrieved have also a good number of citations, although such results are limited. The results prove that Google Scholar is scholarly in nature to a great extent.

The findings are limited to Google Scholar only and cannot be generalized for the rest of the search tools or databases. Further, the study included only five major global problems in the study, and thus, results cannot be applicable to other areas of knowledge.

The study is a checklist to know the retrieval performance of Google Scholar in terms of quality of content.

It is the first study of its kind that takes into account the nature of content on major global problems retrieved by the Google Scholar. It is also the first study that used bibliometric analysis to evaluate the quality of results retrieved.