Keyword Co-occurrence Network Research Articles

Influencing Factors of Stereotypes on Wastewater Treatment Plants- Case Study of 9 Wastewater Treatment Plants in Xi'an, China.

As an indispensable part of cities, wastewater treatment plants play an important role in environmental protection and urbanization. However, the promotion of wastewater treatment plants has been consistently hindered by residents' negative stereotypes and rejections, which is called "Not-In-My-Back-Yard" (NIMBY) effect. This study collected the first-hand data with the residents residing within 3 kilometers of 9 wastewater treatment plants in Xi'an, China through a survey. Keyword co-occurrence network analysis was conducted and the results illustrate that residents have stereotypes toward wastewater treatment plants. There are two types of residents' stereotypes toward wastewater treatment plants: positive and negative. The positive stereotypes of wastewater treatment plants in turn can be subdivided into the three categories of treatment technologies, treatment results, and social impacts. But the negative stereotypes didn't demonstrate meaningful categories. We also tried to identify the influencing factors that cause residents' stereotypes. The distance from residents' residence to the wastewater treatment plants has impacts on the stereotypes of residents' who reside within 1000 meters of the wastewater treatment plant: the farther from the wastewater treatment plants their residence is, the more positive their stereotypes are. We also found that the more educated the participants are, the more positive stereotypes of wastewater treatment plants they have. Moreover, residents' stereotypes toward wastewater treatment plants are more influenced by formal education. Non-formal education and informal learning probably have less influence on the promotion of wastewater treatment plants. Therefore, we propose to incorporate environmental education for sustainable development into formal education to increase residents' acceptance of wastewater treatment plants.

Knowledge diffusion of halal food research: a main path analysis

PurposeHalal food (HF) has received significant attention from scholars and practitioners. However, no studies have explored the distinct role played by HF literature as part of knowledge diffusion. Given the increasing number of scholarly outputs, this study aims to examine the HF development over the past decades comprehensively, including emerging topics and knowledge transmission paths and structure.Design/methodology/approachThis study conducted a keyword co-occurrence network analysis and main path analysis (MPA). The MPA included four types of main paths to trace the historical formation of HF based on 253 articles extracted from the Web of Science database.FindingsThe findings show that: HF research revolves around several dimensions, including HF safety and trust, halal certification, HF supply chain management and attitudes towards HF purchasing, and the focus of HF research has shifted from the business perspective to the consumer perspective. In recent years, there has been a trend to explore how blockchains can benefit HF supply chains by improving traceability, transparency and consumer trust in HF.Originality/valueThis study addresses the need to examine the knowledge diffusion paths in the HF domain. This study offers a framework to investigate the knowledge dissemination and structure, helping researchers deal with hundreds of articles effectively and increasing their understanding of the past, present and future research trends in the HF domain.

Transition towards Sustainable Carwash Wastewater Management: Trends and Enabling Technologies at Global Scale

Carwash wastewater (CWW) contains grease, oil, hydrocarbon residues, heavy metals, and surfactants, posing severe impacts to the environment and human health. Accordingly, various physical, chemical, and biological processes for CWW treatment have been demonstrated in recent research. In this study, a bibliometric approach was performed to comprehensively illustrate the recent progress, current direction, and future perspectives of CWW-related research. A keyword co-occurrence network was used to represent the results of the bibliometric analysis and to show the major pollutants in CWW effluents and the common systems for treating CWW via coagulation/flocculation, electrochemical, oxidation, membrane, adsorption, biological, and hybrid methods. An integrated anaerobic digestion/oxidation process has been reported to degrade CWW-associated pollutants and help develop an energy-efficient approach for waste management. The results demonstrated that the treatment of CWW has several benefits relevant to sustainable development, viz., good health and well-being, protection of life below water, bioenergy generation, and community awareness and acceptance towards wastewater reuse. Hence, these benefits could assist in meeting the environmental, economic, and social sustainable development goals (SDGs). These study outputs can encourage policymakers and stakeholders in implementing sensible regulations that control water usage and treatment in car sharing and personal vehicle services to either directly or indirectly adopt the agenda 2030 with its seventeen SDGs.

Healthcare management and COVID-19: data-driven bibliometric analytics

Healthcare management and COVID-19 has been broadly studied during the recent few days, especially after declaration of the COVID-19 outbreak in almost all countries in the world. Therefore, the present research article aims to provide an extensive overview of the scientific literature about the study of healthcare management and COVID-19 for choosing the new topic of related research. It conducts four types of analyses where the first analysis is a trend analysis and other three analyses are related to network and density maps. The second analysis is analyzed decisively in order to produce all keywords, author keywords and index keywords co-occurrence network map and country co-authorship network map and tables summarizing the significant scientific trends under the present topics. The third analysis is analyzed purposefully in order to produce all documents, journals, authors and countries bibliographic coupling network maps and tables summarizing the significant scientific trends. The last analysis provides valuable approaching of the most significant used keywords on the research topic and the links among them using keyword co-occurrence network and density maps respectively.Supplementary InformationThe online version contains supplementary material available at 10.1007/s12597-022-00576-2.

What We Know about Research on Life Insurance Lapse: A Bibliometric Analysis

A lapsed policy is an insurance policy that has become inactive due to non-payment of premiums. The word “lapse” is an insurance topic that constantly evolves, proven by the recent increase in publications on this topic. The study explores the life insurance lapse decision through a comprehensive bibliometric analysis throughout the years, concentrating on publication trends; co-authorship networks among countries, authors, and scientific journals; and the field’s evolution. The research is based on the Scopus database. Ultimately, 178 documents were retrieved and analysed, demonstrating increased literature on insurance lapse from 1971 to 2021. The authors’ keyword co-occurrence network was also analysed for possible future directions of the field. Journals originating from the United Kingdom dominate the publication on life insurance lapsation. In contrast, an author from the United States is at the first rank in terms of the co-authorship network’s total link strength. The results may help researchers define the research objective and determine the aspects of the life insurance lapse for future research.

Developing a topic-driven method for interdisciplinarity analysis

• This study presented a methodological framework for analyzing topic-based interdisciplinarity. The proposed bottom-up approach effectively describes the relationships and structure of disciplines centered on particular research topics. • A text corpus of keywords with important semantic meanings that did not appear in publications was generated through a deep keyword generation model from the vast number of articles. Dirichlet-Multinomial Regression topic modeling, interdisciplinarity indices, and network analysis were employed to analyze the collected corpus. • Our methodology represents the current dynamic and convergent knowledge system in a bottom-up manner. Also, through the four interdisciplinarity indices, we not only measured the similarity of keywords shared by disciplines within each topic but also analyzed the relationships between topics based on keyword co-occurrence. • Our proposed framework is not limited to disciplines but serves as a guide to uncover the characteristics of topics and relationships between topics that are actively discussed in a research domain with high interdisciplinarity (e.g., literacy). Therefore, this study is significant by presenting a methodology that reveals topics with high collaboration potential and their relationships using keywords in over 200 disciplines. This study explores the topic-based interdisciplinarity in the research domain of literacy. A text corpus of keywords was generated through a deep keyword generation model from abstracts of 346,387 articles published in 296 disciplines from 1917 to 2021. Dirichlet-Multinomial Regression topic modeling, interdisciplinarity indices, and network analysis were employed to analyze the collected corpus. Topic modeling uncovered 15 dominant research topics in the literacy field, as well as their up-and-down trends from 2000 to 2021. For each topic, keywords were then replaced with disciplines, and interdisciplinarity was measured using four indices: variety, balance, disparity, and diversity. Finally, the interdisciplinarity of each topic, connectivity between topics, and topic trends were comprehensively analyzed on the keyword co-occurrence network. Our methodology reaches beyond connectivity limited to a few disciplines and provides insight into the direction of collaboration between disciplines centered on a research domain. Moreover, the study's deep keyword generation model has methodological implications for forming a corpus spanning numerous disciplines as a bottom-up approach.

Shedding light on the efforts into the rehabilitation of a major culprit of carbon emissions: A scientometric analysis of net-zero in the built environment sector

Recent global commitments towards net-zero 2050 have resulted in an increased interest within a number of industries. The built environment has been identified as a major culprit contributing to the ongoing complex problem of carbon emissions. In an attempt to reveal the efforts, put into alleviating this challenge, this paper aims to provide a comprehensive, quantitative analysis of the literature on net-zero (energy and GHG emissions) in the built environment over the last two decades. In this study, well-established bibliometric and scientometric techniques are deployed to map the scientific domains by developing and analysing the resulting co-citation and keyword co-occurrence network developed from the bibliometric data from 1934 peer-reviewed articles retrieved from the SCOPUS database.The most significant contributions in net-zero research have originated primarily from UK, USA, and China. The results of the network analysis identified seven foundational themes of research - greenhouse gas emission, deep decarbonisation, earth material, residential building, high-rise building, displacement, ventilation, and walling element. The burst analysis revealed how a number of emerging digital technologies in the sector present opportunities to optimise future developments towards the attainment of a net-zero emission-built environment. To address the complexity associated with emissions caused by the built environment, the findings suggest that there is a need to expand the current LCA assessments to a broader, industry-wide scale, beyond the predominant ‘single building case study’ as the unit of reference. Moreover, the national net-zero pathway studies should aim to extend beyond the operational emission scenarios, and into assessing the impacts on materials and embedded emissions, which has grown exponentially.

Current Status and Trends in Research on Caries Diagnosis: A Bibliometric Analysis.

There are a wide variety of devices for the detection and diagnosis of caries from the initial stages. The purpose of this study was to perform a bibliometric study on research regarding caries diagnosis by identifying the contributing researchers, organizations, countries or regions, journals, and to provide an analysis of keyword co-occurrence and co-authorship networks. An advanced search was performed in Web of Science (WOS) Core Collection database, using the terms “caries diagno*” and “caries detect*” in the “topic” field, from 2013 to 2021. Bibliometric parameters were extracted using WOS’s analyze results tools and VOSviewer software. A total of 816 documents were identified. Most of them, (61.3%) are included in “Dentistry Oral Surgery & Medicine” category within WOS. The largest scientific production on the subject is observed between 2018 and 2021, with a total of 344 records. The most productive author is Mendes FM, followed by Braga MM. The journal with the most articles published on caries diagnosis is Caries Research, with 55 articles (6.74%). The terms with the highest co-occurrence refer to the validity of diagnostic methods, tools or principles used in diagnosis or general aspects related to caries detection and diagnosis.

Innovations in freight transport: a systematic literature evaluation and COVID implications

PurposeThis paper systematically evaluates the existing literature of innovations in freight transport, including all modes, to uncover the key research themes and methodologies employed by researchers to study innovations and their implications in this industry. It analyses the role of transport and the impact of innovations during crises, such as COVID-19.Design/methodology/approachQualitative and quantitative analysis of the innovations in freight transport unravels the pre-requisites of such endeavours in achieving a resilient and sustainable transport network that effectively and efficiently operates during a crisis. The authors performed keyword co-occurrence network (KCON) analysis and research focus parallelship network (RFPN) analysis using BibExcel and Gephi to determine the major resulting research streams in freight transport.FindingsThe RFPN identified five emerging themes: transport operations, technological innovation, transport economics, transport policy and resilience and disaster management. Optimisation and simulation techniques, and more recently, artificial intelligence and machine learning (ML) approaches, have been used to model and solve freight transport problems. Automation innovations have also penetrated freight and supply chains. Information and communication technology (ICT)-based innovations have also been found to be effective in building resilient supply chains.Research limitations/implicationsGiven the growth of e-commerce during COVID-19 and the resulting logistics demand, along with the need for transporting food and medical emergency products, the role of automation, optimisation, monitoring systems and risk management in the transport industry has become more salient. Transport companies need to improve their operational efficiency using innovative technologies and data science for informed decision-making.Originality/valueThis paper advises researchers and practitioners involved in freight transport and innovation about main directions and gaps in the field through an integrated approach for evaluating research undertaken in the area. This paper also highlights the role of crisis, e.g. COVID-19, and its impacts on freight transport. Major contributions of this paper are as follows: (1) a qualitative and quantitative, systematic and effective assessment of the literature on freight transport through a network analysis of keywords supplemented by a review of the text of 148 papers; (2) unravelling major research areas; (3) identifying innovations in freight transport and their classification as technological and non-technological and (4) investigating the impact of crises and disruptions in freight transport.

Evaluation of the Information-based Teaching Design Abilities of Educators in Blended Teaching

Information-based teaching is a process where the information technologies are actively integrated with the curriculum system, teaching objectives and teaching content. In order to improve the information-based teaching design abilities of teachers, it is of practical significance to study the criteria and methods for evaluating their information-based teaching design abilities under the online and offline blended teaching model. Based on the visualized measurement results of the keyword co-occurrence network, this paper constructed an evaluation indicator system for the information-based teaching design abilities of teachers under the online and offline blended teaching model, and gave the detailed steps of fuzzy comprehensive evaluation. In order to identify the improvements in the information-based teaching design abilities of teachers, it established a neural network prediction model for the information-based teaching design ability set of teachers based on the given evaluation indicator sample time series. At last, the scientificity of the proposed evaluation indicator system was verified through a test, with the prediction results of the model given.

A Decade of Activity of the Medical Journal of Tabriz University of Medical Sciences through Scientometric Method (2010-2019)

A Decade of Activity of the Medical Journal of Tabriz University of Medical Sciences through Scientometric Method (2010-2019)

Global Research Trends, Top-100 Most Cited Studies, and Network Visualization of Eating and Feeding Disorders Research From 1900-2020: A Historical Bibliometric Analysis

Background: Eating disorders (EDs) are psychiatric disorders that leads to affect the health. In last few decades, EDs have been rising rapidly due to disturbed attitudes towards eating that play a critical role in the maintenance of EDs. This study was performed to assess key bibliometric indicators, visualize the research outcomes in the field, and find the current trends in EDs. Methods: A comprehensive search was conducted utilizing the Web of Science Core Collection (WoSCC) database. The obtained data was imported into Microsoft Excel 2019 and VOSviewer software for windows. The database search was performed for the period from the inception of WoSCC until 2020. The downloaded data was exported into VOSviewer software version 1.6.16 for Windows to construct co-authorship countries, keywords co-occurrence, and journal and organization sources network visualization. Results: The initial search yielded 16,693 publications, of which 11,322 articles were included in the overall analysis. Furthermore, the top-100 most cited papers were included based on number of citations in descending order. The average citation per year for overall publications (n=11,322) was 830.92 and that of top-100 most cited papers was 490.24. The study authored by Fairburn and Beglin in year 1994 received the highest citations (2,999). Among the top-100 highly cited articles, Fairburn CG was the most prolific author with 10 publications (6,254 citations). The frequently studied research area was psychiatry, and the leading source of publication was Archives of General Psychiatry with 20 published articles and 7,872 citations. The analysis of the overall articles indicted that International Journal of Eating Disorders got 2,500 publications and 88,921 citation score. The University of Minnesota was first in top-100 most cited articles for maximum number of publications (n=12) but from the overall analysis of all the articles, Harvard University was first with a total of 405 publications. The United States of America was the most prominent country with 58 number of documents. Conclusion: Majority of articles were produced by developed countries. Hence, there is a dire need for interdisciplinary research approaches to evaluate and intervene Eds. We believe that the highly cited articles in feed and EDs may help to some future novel ideas and regulate effective preventive strategies.

Research on Digital Transformation Based on Complex Systems: Visualization of Knowledge Maps and Construction of a Theoretical Framework

In the digital age, the exploration of digital transformation has made remarkable progress in many fields. However, the existing theories related to digital transformation at the organizational level are relatively scattered, which makes it difficult to support the practical exploration of organizational change in the digital context. Through quantitative and visual analysis of the literature in the field of digital transformation, this study analyzes the research situation in this field from the aspects of the paper publishing trend, node literature, key scholars and regional cooperation. Through the analysis of the keywords co-occurrence network, the research frontier of digital transformation is identified, and, based on complex systems, this study discusses the research frontier from three aspects: organizational symbiosis oriented by environmental coordination, ability remodeling oriented by structural optimization and value creation oriented by functional realization. Further, based on the analysis framework and principle of organizational management systematics, this study constructs the theoretical framework of digital transformation from three aspects: core dimension, implementation mechanism and action mechanism. The systematic theoretical framework can provide reference for the development of relevant theories of digital transformation and better support the management practice of digital transformation.

Bibliometric Mapping of Literature on High-Entropy/Multicomponent Alloys and Systematic Review of Emerging Applications.

High-entropy/multicomponent alloy (HEA/MCA) has received significant research attention in the last decade. There is a dearth of data-driven works dedicated to assessing and visualizing the HEA/MCA literature from a global perspective. To this end, we present the first bibliometric literature analysis of more than 3500 HEA/MCA articles, published between 2004 and 2021, in the Scopus database. We identify the most prolific authors, their collaborators, institutions, and most prominent research outlet. Co-occurrence networks of keywords are mapped and analyzed. A steep rise in research outputs is observed from 2013, when the number of annual publications doubled the previous years. The top five preferred research outlets include Journal of Alloys and Compounds, Materials Science and Engineering A, Scripta Materialia, Intermetallics, and Acta Materialia. Most of these publications emanate from researchers and institutions within China, USA, and Germany, although international scientific collaboration among them is lacking. Research gaps and future research directions are proposed, based on co-occurrence frequencies of author keywords. Finally, a brief systematic review of emerging applications, covering hydrogen storage, additive manufacturing, catalysis, and superconductivity, is undertaken. This work provides an important comprehensive reference guide for researchers to deepen their knowledge of the field and pursue new research directions.

Characteristics of High Suicide Risk Messages From Users of a Social Network-Sina Weibo "Tree Hole".

BackgroundPeople with suicidal ideation post suicide-related information on social media, and some may choose collective suicide. Sina Weibo is one of the most popular social media platforms in China, and “Zoufan” is one of the largest depression “Tree Holes.” To collect suicide warning information and prevent suicide behaviors, researchers conducted real-time network monitoring of messages in the “Zoufan” tree hole via artificial intelligence robots.ObjectiveTo explore characteristics of time, content and suicidal behaviors by analyzing high suicide risk comments in the “Zoufan” tree hole.MethodsKnowledge graph technology was used to screen high suicide risk comments in the “Zoufan” tree hole. Users' level of activity was analyzed by calculating the number of messages per hour. Words in messages were segmented by a Jieba tool. Keywords and a keywords co-occurrence matrix were extracted using a TF-IDF algorithm. Gephi software was used to conduct keywords co-occurrence network analysis.ResultsAmong 5,766 high suicide risk comments, 73.27% were level 7 (suicide method was determined but not the suicide date). Females and users from economically developed cities are more likely to express suicide ideation on social media. High suicide risk users were more active during nighttime, and they expressed strong negative emotions and willingness to end their life. Jumping off buildings, wrist slashing, burning charcoal, hanging and sleeping pills were the most frequently mentioned suicide methods. About 17.55% of comments included suicide invitations. Negative cognition and emotions are the most common suicide reason.ConclusionUsers sending high risk suicide messages on social media expressed strong suicidal ideation. Females and users from economically developed cities were more likely to leave high suicide risk comments on social media. Nighttime was the most active period for users. Characteristics of high suicide risk messages help to improve the automatic suicide monitoring system. More advanced technologies are needed to perform critical analysis to obtain accurate characteristics of the users and messages on social media. It is necessary to improve the 24-h crisis warning and intervention system for social media and create a good online social environment.

The application of digital twin technology in operations and supply chain management: a bibliometric review

PurposeThe application of digital twins to optimise operations and supply chain management functions is a bourgeoning practice. Scholars have attempted to keep pace with this development initiating a fast-evolving research agenda. The purpose of this paper is to take stock of the emerging research stream identifying trends and capture the value potential of digital twins to the field of operations and supply chain management.Design/methodology/approachIn this work we employ a bibliometric literature review supported by bibliographic coupling and keyword co-occurrence network analysis to examine current trends in the research field regarding the value-added potential of digital twin in operations and supply chain management.FindingsThe main findings of this work are the identification of four value clusters and one enabler cluster. Value clusters are comprised of articles that describe how the application of digital twin can enhance supply chain activities at the level of business processes as well as the level of supply chain capabilities. Value clusters of production flow management and product development operate at the business processes level and are maturing communities. The supply chain resilience and risk management value cluster operates at the capability level, it is just emerging, and is positioned at the periphery of the main network.Originality/valueThis is the first study that attempts to conceptualise digital twin as a dynamic capability and employs bibliometric and network analysis on the research stream of digital twin in operations and supply chain management to capture evolutionary trends, literature communities and value-creation dynamics in a digital-twin-enabled supply chain.

A Survey of Smart Classroom Literature

Recently, there has been a substantial amount of research on smart classrooms, encompassing a number of areas, including Information and Communication Technology, Machine Learning, Sensor Networks, Cloud Computing, and Hardware. Smart classroom research has been quickly implemented to enhance education systems, resulting in higher engagement and empowerment of students, educators, and administrators. Despite decades of using emerging technology to improve teaching practices, critics often point out that methods miss adequate theoretical and technical foundations. As a result, there have been a number of conflicting reviews on different perspectives of smart classrooms. For a realistic smart classroom approach, a piecemeal implementation is insufficient. This survey contributes to the current literature by presenting a comprehensive analysis of various disciplines using a standard terminology and taxonomy. This multi-field study reveals new research possibilities and problems that must be tackled in order to integrate interdisciplinary works in a synergic manner. Our analysis shows that smart classroom is a rapidly developing research area that complements a number of emerging technologies. Moreover, this paper also describes the co-occurrence network of technological keywords using VOSviewer for an in-depth analysis.

A Decade of Post-Intensive Care Syndrome: A Bibliometric Network Analysis.

Background and Objectives: In 2012, the umbrella term post-intensive care syndrome (PICS) was introduced to capture functional long-term impairments of survivors of critical illness. We present a bibliometric network analysis of the PICS research field. Materials and Methods: The Web of Science core database was searched for articles published in 2012 or later using ‘post-intensive care syndrome’ and variant spellings. Using VOSviewer, we computed co-authorship networks of countries, institutions, and authors, as well as keyword co-occurrence networks. We determined each country’s relative research effort and Category Normalized Citation Index over time and analyzed the 100 most-cited articles with respect to article type, country of origin, and publishing journal. Results: Our search yielded 379 articles, of which 373 were analyzed. Annual PICS research output increased from 11 (2012) to 95 articles (2020). Most PICS research originates from the US, followed by England, Australia, the Netherlands, and Germany. We found various collaborations between countries, institutions, and authors, with recent collaborative networks of English and Australian institutions. Article keywords cover aspects of cognitive, mental health, and physical impairments, and more recently, COVID-19. Only a few keywords and articles pertained to PICS prevention and treatment. Conclusions: Our analysis of Web of Science-indexed PICS articles highlights the stark increase in PICS research output in recent years, primarily originating from US- and Europe-based authors and institutions. Despite the research field’s growth, knowledge gaps with respect to PICS prevention and treatment remain.

Agronomic Practices to Increase the Yield and Quality of Common Bean (Phaseolus vulgaris L.): A Systematic Review

Common bean (Phaseolus vulgaris L.) is the most important legume for human consumption worldwide and an important source of vegetable protein, minerals, antioxidants, and bioactive compounds. The N2-fixation capacity of this crop reduces its demand for synthetic N fertilizer application to increase yield and quality. Fertilization, yield, and quality of common bean may be optimised by several other agronomic practices such as irrigation, rhizobia application, sowing density, etc. Taking this into consideration, a systematic review integrated with a bibliometric analysis of several agronomic practices that increase common bean yield and quality was conducted, based on the literature published during 1971–2021. A total of 250 publications were found dealing with breeding (n = 61), sowing density and season (n = 14), irrigation (n = 36), fertilization (n = 27), intercropping (n = 12), soilless culture (n = 5), tillage (n = 7), rhizobia application (n = 36), biostimulant/biofertilizer application (n = 21), disease management (n = 15), pest management (n = 2) and weed management (n = 14). The leading research production sites were Asia and South America, whereas from the Australian continent, only four papers were identified as relevant. The keyword co-occurrence network analyses revealed that the main topics addressed in relation to common bean yield in the scientific literature related to that of “pod”, “grain”, “growth”, “cultivar” and “genotype”, followed by “soil”, “nitrogen”, “inoculation”, “rhizobia”, “environment”, and “irrigation”. Limited international collaboration among scientists was found, and most reported research was from Brazil. Moreover, there is a complete lack in interdisciplinary interactions. Breeding for increased yield and selection of genotypes adapted to semi-arid environmental conditions combined with the suitable sowing densities are important agronomic practices affecting productivity of common bean. Application of fertilizers and irrigation practices adjusted to the needs of the plants according to the developmental stage and selection of the appropriate tillage system are also of high importance to increase common bean yield and yield qualities. Reducing N-fertilization via improved N-fixation through rhizobia inoculation and/or biostimulants application appeared as a main consideration to optimise crop performance and sustainable management of this crop. Disease and weed management practices appear neglected areas of research attention, including integrated pest management.

Public health insurance for elderly: did researchers recognise health as human right for elderly?

PurposeThis study aims to shed some light on the subject matter of the exploration of public medical coverage and elderly done as such far across the world. To achieve this objective, a comprehensive bibliometric examination was used to investigate papers published between the years 1960 and 2020. An aggregate of 366 papers was selected and analysed for the same. The investigation endeavours to recognise the journals with outstanding performance in this field, distribution of papers concerning the year of their publication, most referred to papers. Then various maps depicting bibliometric networks are provided, namely, the joint-authorship network map, inter-country joint-authorship network map and keyword co-occurrence network map.Design/methodology/approachTo achieve the objective of this study, the Scopus database was used for comprehending the vast magnitude of information about numerous papers included in this paper. VOSviewer has been used to create a joint-authorship network map, inter-country joint-authorship network map and keywords concurrences network map.FindingsThe result of this investigation demonstrates that the highest number of publications came out in the year 2019, the most notable journal is Journal of Aging and Social Policy, and the most referred to research paper is about long-term care insurance (LTCI) in Japan. The USA is the most productive nation with the most elevated number of papers published under its name. Tamiya N. has teamed up with the highest number of authors, which is 29. Again the USA is the nation that participated with the highest number of authors of different countries in the research paper.Originality/valueThis paper accord with the current writing on public health insurance and elderly. A much far-reaching and solid image of this sector is given using the bibliometric analysis technique. The authors keen on directing future exploration on this topic can take guidance from the results of this study.