Microalgal flocculation: Global research progress and prospects for algal biorefinery

2020 ◽  
Vol 67 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Sana Malik ◽  
Fahad Khan ◽  
Zahida Atta ◽  
Nida Habib ◽  
Muhammad Nabeel Haider ◽  
...  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fayaz Ahmad Loan ◽  
Bashir Bisma ◽  
Nasreen Nahida

Purpose 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). Design/methodology/approach 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. Findings 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). Research limitations/implications 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. Practical implications 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. Originality/value 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.


2019 ◽  
Vol 7 (1) ◽  
pp. 113-123 ◽  
Author(s):  
Benjamin J. Lough ◽  
Cliff Allum ◽  
Peter Devereux ◽  
Rebecca Tiessen

This paper reviews the recent history, objectives, priorities and opportunities for advancing a Global Research Agenda on Volunteering for Peace and Development (GRA). It revisits key areas of research progress from 2015-2018 and discusses the resources needed to further advance this agenda 2019-2025.


2018 ◽  
Vol 38 (4) ◽  
pp. 286
Author(s):  
Shri Ram

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>Dyslexia (commonly known as word blindness) is a cognitive (learning) disorder characterised by an impaired ability to comprehend written and printed words or phrases despite of intact vision. A quantitative literature analysis was carried out on learning disorder - dyslexia from 1967 to 2016 (50 Year) for assessing the global research trends. The emphasis has been given to analyse the research progress in dyslexia using bibliometric methods. This literature-based study was carried out with the documents retrieved from the Scopus. There were 13455 articles on Dyslexia in SCOPUS, distributed in nine document types and twenty eight languages. These literature were grown at 6 per cent annually. Of ninety eight countries, USA shared highest contribution. India ranked 20th in terms of total publication. The most of the research areas are centered towards psychology, learning ability and linguistics. </span></p></div></div></div>


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiujuan Chen ◽  
Shanbing Gao ◽  
Xue Zhang

PurposeIn order to further advance the research of social bots, based on the latest research trends and in line with international research frontiers, it is necessary to understand the global research situation in social bots.Design/methodology/approachChoosing Web of Science™ Core Collections as the data sources for searching social bots research literature, this paper visually analyzes the processed items and explores the overall research progress and trends of social bots from multiple perspectives of the characteristics of publication output, major academic communities and active research topics of social bots by the method of bibliometrics.FindingsThe findings offer insights into research trends pertaining to social bots and some of the gaps are also identified. It is recommended to further expand the research objects of social bots in the future, not only focus on Twitter platform and strengthen the research of social bot real-time detection methods and the discussion of the legal and ethical issues of social bots.Originality/valueMost of the existing reviews are all for the detection methods and techniques of social bots. Unlike the above reviews, this study is a systematic literature review, through the method of quantitative analysis, comprehensively sort out the research output in social bots and shows the latest research trends in this area and suggests some research indirections that need to be focused in the future. The findings will provide references for subsequent scholars to research on social bots.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2021-0336.


2015 ◽  
Vol 73 (9) ◽  
pp. 4995-5005 ◽  
Author(s):  
Feng Qian ◽  
Mengchang He ◽  
Yonghui Song ◽  
Mats Tysklind ◽  
Jieyun Wu

2019 ◽  
Vol 227 (1) ◽  
pp. 64-82 ◽  
Author(s):  
Martin Voracek ◽  
Michael Kossmeier ◽  
Ulrich S. Tran

Abstract. Which data to analyze, and how, are fundamental questions of all empirical research. As there are always numerous flexibilities in data-analytic decisions (a “garden of forking paths”), this poses perennial problems to all empirical research. Specification-curve analysis and multiverse analysis have recently been proposed as solutions to these issues. Building on the structural analogies between primary data analysis and meta-analysis, we transform and adapt these approaches to the meta-analytic level, in tandem with combinatorial meta-analysis. We explain the rationale of this idea, suggest descriptive and inferential statistical procedures, as well as graphical displays, provide code for meta-analytic practitioners to generate and use these, and present a fully worked real example from digit ratio (2D:4D) research, totaling 1,592 meta-analytic specifications. Specification-curve and multiverse meta-analysis holds promise to resolve conflicting meta-analyses, contested evidence, controversial empirical literatures, and polarized research, and to mitigate the associated detrimental effects of these phenomena on research progress.


2002 ◽  
Author(s):  
Raymond A. Levy ◽  
Stuart Ablon
Keyword(s):  

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