Climate Change and Zoonoses: A Review of Concepts, Definitions, and Bibliometrics

Climate change can have a complex impact that also influences human and animal health. For example, climate change alters the conditions for pathogens and vectors of zoonotic diseases. Signs of this are the increasing spread of the West Nile and Usutu viruses and the establishment of new vector species, such as specific mosquito and tick species, in Europe and other parts of the world. With these changes come new challenges for maintaining human and animal health. This paper reports on an analysis of the literature focused on a bibliometric analysis of the Scopus database and VOSviewer software for creating visualization maps which identifies the zoonotic health risks for humans and animals caused by climate change. The sources retained for the analysis totaled 428 and different thresholds (N) were established for each item varying from N 5 to 10. The main findings are as follows: First, published documents increased in 2009–2015 peaking in 2020. Second, the primary sources have changed since 2018, partly attributable to the increase in human health concerns due to human-to-human transmission. Third, the USA, the UK, Canada, Australia, Italy, and Germany perform most zoonosis research. For instance, sixty documents and only 17 countries analyzed for co-authorship analysis met the threshold led by the USA; the top four author keywords were “climate change”, “zoonosis”, “epidemiology”, and “one health;” the USA, the UK, Germany, and Spain led the link strength (inter-collaboration); the author keywords showed that 37 out of the 1023 keywords met the threshold, and the authors’ keyword’s largest node of the bibliometric map contains the following: infectious diseases, emerging diseases, disease ecology, one health, surveillance, transmission, and wildlife. Finally, zoonotic diseases, which were documented in the literature in the past, have evolved, especially during the years 2010–2015, as evidenced by the sharp augmentation of publications addressing ad-hoc events and peaking in 2020 with the COVID-19 outbreak.

Smartphones and Learning: An Extension of M-Learning or a Distinct Area of Inquiry

The smartphone has become an integral part of the education landscape. While there has been significant smartphone research in education under the guise of m-learning, the unique role of the device suggests that m-learning may not be an appropriate characterization. The purpose of this paper is to review the use of m-learning as a primary descriptor for smartphone- and learning-related research. In support of this goal, the paper reviews the definitions associated with m-learning, smartphones, and related technologies from the perspective of educational research. In addition, a review of author keywords of research on smartphones in education is used to provide context to the classification of the research. Finally, three theoretically guided smartphone programs are presented as evidence of the unique nature of smartphone and learning research. This review concludes with recommendations for the characterization of future research.

Electrohydrodynamic Drying in Agribusiness: Literature Review

In agribusiness, drying is a unitary operation that optimizes the production and preservation of products and raw materials. Drying is performed through different traditional methods, one of the most recently studied is the electrohydrodynamic drying EHD which uses an electric field that allows decreasing the processing time thus increasing the drying speed of raw materials and consuming less energy. In this article, a review was carried out through Scopus using a search equation with the keywords “Electrohydrodynamic drying,” “food” and “AGRI” which resulted in a total of 145 articles; which were analyzed through in-depth reading, analyzing aspects such as year, author, keywords, countries, quartile, journal, relationship with agroindustry, mathematical models used and applications in agro-industrial products, this analysis was complemented with the application of Vantage Point software through co-occurrence matrices and cluster analysis. Recent applications were found in Carrot, Chicken, Sea Cucumber, Goji Berry, Peppermint Leaf, Quince, Potato, Blueberry, Aquatic Products, Banana Slices, Grape Pomace, Blueberry, Apple, Mushroom, Wheat, and Mushroom Slices, mathematical models with application in EHD drying were also found, such as Henderson and Pabis, Page, Logarithmic, Quadratic, Newton/Lewis, Diffusion and exponential.

Synthesis, Characterization and Biomedical Application of Silver Nanoparticles

Silver nanoparticles (AgNPs) have been employed in various fields of biotechnology due to their proven properties as an antibacterial, antiviral and antifungal agent. AgNPs are generally synthesized through chemical, physical and biological approaches involving a myriad of methods. As each approach confers unique advantages and challenges, a trends analysis of literature for the AgNPs synthesis using different types of synthesis were also reviewed through a bibliometric approach. A sum of 10,278 publications were analyzed on the annual numbers of publication relating to AgNPs and biological, chemical or physical synthesis from 2010 to 2020 using Microsoft Excel applied to the Scopus publication database. Furthermore, another bibliometric clustering and mapping software were used to study the occurrences of author keywords on the biomedical applications of biosynthesized AgNPs and a total collection of 224 documents were found, sourced from articles, reviews, book chapters, conference papers and reviews. AgNPs provides an excellent, dependable, and effective solution for seven major concerns: as antibacterial, antiviral, anticancer, bone healing, bone cement, dental applications and wound healing. In recent years, AgNPs have been employed in biomedical sector due to their antibacterial, antiviral and anticancer properties. This review discussed on the types of synthesis, how AgNPs are characterized and their applications in biomedical field.

ANALISIS BIBLIOMETRIK: PERKEMBANGAN PENELITIAN DAN PUBLIKASI MENGENAI KOORDINASI PROGRAM MENGGUNAKAN VOSVIEWER

Bibliometric analysis is a popular method for exploring and analyzing large amounts of scientific data. This article is a bibliometric analysis using Scopus indexed journals on program coordination using VOSviewer application. The purpose of bibliometric analysis in this research is to identify the development of studies related to program coordination. Specifically, this article discusses citation developments, publications trends, authors’ collaboration, trending term titles, trend term author keywords, trend term abstracts, and country statistics with the topic of program coordination 1943-2021. The data was collected from Scopus database using keyword “coordination program.” Furthermore, the author uses VOSviewer software to analyze and visualize the database obtained. The results showed that the results of the citation analysis showed the number of citations per year from 1943-2021 was 4.304 citations. Irvine, M.K is a researcher who has the largest productivity, which is ten publications. In the analysis of the trend term author keywords, it can be seen that there are 676 author keys used in selected articles using a minimum of five events, resulting nine author keywords that have a strong connection. The term “care coordination” is the term most frequently used by the author with 23 entries. Moreover, the country that published the most program coordination articles was the United States with 246 articles.

Trends and Patterns in Turnaround Strategies

The paper aims to examine the publications on turnaround strategies and identify scientific gaps. Hence, bibliographic couplings of countries, institutions, journals, publications, authors, and co-occurrences of the author keywords were analyzed. Bibliographic methods were employed to examine and visualize the characteristics of the publications with the aid of VOSViewer software. Using 174 articles from the Scopus database, the results revealed that corporate distress, turnaround, organizational decline, turnaround strategies, corporate strategy, financial distress, retrenchment, turnaround strategy, and turnarounds were among the most studied key concepts in this area, The “Journal of Strategy and Management” and “European Management Journal” were the top journals. United States, United Kingdom, and India were the most influential countries. The Fort Hays University and McMurry University were top research institutions. Notably, Huang, Y., Reddy, K.S., and Xie, E. were the most influential authors in this research area. These results will help academicians and practitioners.

Augmented reality research in the 21 century pandemic situation by coronavirus disease (COVID-19): A bibliometric study

The aim of this study is to identify publications in 21 century pandemic situation by coronavirus disease (COVID-19) related to augmented reality (AR) and to describe the characteristics of those studies. The Google Scholar database was searched for publications on AR in COVID-19 research criteria between 2019 and 2021. Bibliographic coupling of the details and co-occurrences of the publication of the author keywords were examined for the selected publications. A total of 2907 publications were selected following the research criteria between 2019 and 2021. The results showed that among the most researched researchers in AR study are the names of authors with color highlights from different countries. The study addressed the pattern in research and advancement of the idea of increased pandemic reality for COVID19.

Bibliometrics of Latin American research on COVID-19 in the first year of the pandemic: the main trends

This study aimed to identify and analyze the characteristics of COVID-19 publications in the Science Citation Index Expanded published by Latin Americans in 2020. Documents including searching keywords in their title, abstract, or author keywords were assessed. The analyzed aspects covered characteristics of document types, languages, Web of Science categories, and journals. Publication performances of countries and institutions were evaluated by six publication indicators and two citation indicators. Results showed that a lower percentage of articles and a higher percentage of Spanish language were found. Web of Science category of general and internal medicine published the most articles. The Clinics was the most popular journal. The Cadernos de Saude Publica and Revista da Associacao Medica Brasileira published the most articles and reviews, respectively. Brazil took a leading position in the six publication indicators. The University of São Paulo in Brazil was the most productive institution. Based on the number of citations from the Web of Science Core Collection since publication to the end of 2020, 10 most frequently cited publications were presented. In addition, the analysis of words in publication titles, author keywords, and KeyWords Plus was performed to find the main research focuses.

Why IEEE Xplore Matters for Research Trend Analysis in the Energy Sector

The paper aims to briefly compare and analyze the results of queries to IEEE Xplore and the leading abstract databases Scopus and Web of Science to identify research trends. Some errors were revealed in the Author Keywords in Web of Science. Therefore, a more detailed analysis that involved comparing various types of key terms was made only for IEEE Xplore and Scopus platforms. The study employed IEEE Access journal metadata as indexed on both platforms. Sample matching for IEEE Xplore and Scopus was achieved by comparing DOI. The IEEE Xplore metadata contains more key term types, which provides an advantage in analyzing research trends. Using NSPEC Controlled Terms from expert-compiled vocabulary provides more stable data, which gives an advantage when considering the change of terms over time. Apriori, an algorithm for finding association rules, was used to compare the co-occurrence of the terms for a more detailed description of sample subjects on both platforms. VOSviewer was used to analyze trends in scientific research based on IEEE Xplore data. The 2011-2021 ten-year period was divided into two sub-intervals for comparing the occurrence of Author Keywords, IEEE Terms, and NSPEC Controlled Terms. Bibliometric data of the IEEE conference proceedings was used to illustrate the importance of context in estimating the growth rate of publishing activity on a topic of interest.

Text Mining in Management Research: A Bibliometric Analysis

The goal of this paper is to provide a bibliometric analysis of scientific publications that employ text mining in management. To accomplish this, the authors collected 1282 documents from the Web of Science and performed performance analysis and science mapping with the help of the Bibliometrix package in Rstudio. The performance analysis used a range of bibliometric indicators such as productivity, citations, h-index, and m-quotient, in order to identify research trends and the most influential journals, authors, countries, and literature in the study. Science mapping used author keywords co-occurrence, co-authorship, and co-citation analysis to reflect the conceptual, social, and intellectual structure of the research. Specifically, we have seen an exponential increase in the use of text mining in management in recent years. The United States is the dominant country for research, having the earliest studies and the highest number of literature and citations. Furthermore, the research themes showed that topic modeling is at the forefront of current text mining research about management. This study will help scholars and management practitioners interested in the intersection of text mining and management to quickly understand the latest advances in research.