Scientometric Review Research Articles

A Scientometric Review for Uncertainties in Integrated Simulation–Optimization Modeling System

Water resources management is a challenging task caused by huge uncertainties and complexities in hydrological processes and human activities. Over the last three decades, various scholars have carried out the study on hydrological simulation under complex conditions and quantitatively characterized the associated uncertainties for water resources systems. To keep abreast of the development of the collective knowledge in this field, a scientometric review and metasynthesis of the existing uncertainty analysis research for supporting hydrological modeling and water resources management has been conducted. A total of 2020 publications from 1991 to 2018 were acquired from the Web of Science. The scientific structure, cooperation, and frontiers of the related domain were explored using the science mapping software CiteSpace V5.4.R3. Through co–citation, collaboration, and co–occurrence network study, the results present the leading contributors among all countries and hotspots in the research domain. In addition, synthetical uncertainty management for hydrological models and water resource systems under climatic and land use change will continue to be focused on. This study comprehensively evaluates various aspects of uncertainty analysis in hydrologic simulation–optimization systems, showcasing advanced data analysis and artificial intelligence technologies. It focuses on current research frontiers, aiding decision–makers in better understanding and managing the complexity and uncertainties of water resource systems, thereby enhancing the sustainability and efficiency of responses to environmental changes.

3-D Printing Technologies From Infancy to Recent Times: A Scientometric Review

The three-dimensional (3-D) printing technology field is rapidly evolving and being adopted worldwide for a broad spectrum of applications in interdisciplinary research. A periodic critical quantitative assessment of the research domain is essential to unleashing various domains, research areas, and technological trends in the 3-D printing technology domain. CiteSpace—a scientific information measurement software—is used for scientometric analysis to understand the development of 3-D printing technology, viz., its evolution, status quo, and exploring the hidden internal connections between the work of literature. This article presents a cocitation analysis of participating nations, authored documents, scientific contributors, journals, and co-occurrence analysis of keywords on 37445 extracted Scopus indexed scientific literature. Further, a timeline review of keywords pinpoints the hotspots and research trends. This article identifies the research frontiers, hotspots, and potential future research directives in this research domain.

Progress and Prospects of 3-D and 4-D Printing in Sustainable Development: A Scientometric Review

Progress and Prospects of 3-D and 4-D Printing in Sustainable Development: A Scientometric Review

Digital health implementation in Australia: A scientometric review of the research.

Australia is committed to establishing a digitally enabled healthcare system that fosters innovation, strengthens data capabilities, and establishes a foundation for future digital health reform. This study provides a comprehensive overview of digital health implementation research in Australia, employing scientometric analysis and data visualization. We assess the existing knowledge base, identify key research areas and frontier trends, and explore their implications for healthcare delivery in rural and remote settings. A systematic search of the Web of Science Core Collection database was conducted for relevant documents up to December 31, 2023. Analysis of annual growth patterns, journals, institutional and authorship contributions, reference co-citation patterns, and keyword co-occurrence was conducted using scientometrics to create outputs in the form of graphs and tables. Evolutionary analyses were undertaken to delineate the current knowledge base, predominant research themes, and frontier trends in the field. A total of 196 documents related to digital health implementation in Australia were identified, demonstrating sustained growth since 2019. The evolution of the field is characterized by four distinct phases, with a pronounced focus on telehealth, particularly in the context of the COVID-19 pandemic. 'Remote health' emerged as a significant area of contemporary interest. This scientometric study contributes to our understanding of digital health implementation research in Australia. Despite a considerable body of research, there remains a relative paucity of studies focused on implementation in underserved rural and remote areas which arguably stand to benefit the most from digital health advancements. Continued research in this field is crucial to ensure equitable access to the benefits offered by digital health innovations.

Forecasting COVID-19 Pandemic – A scientometric Review of Methodologies Based on Mathematics, Statistics, and Machine Learning

Introduction: The COVID-19 pandemic is being regarded as a worldwide public health issue. The virus has disseminated to 228 nations, resulting in a staggering 772 million global infections and a significant death toll of 6.9 million. Since its initial occurrence in late 2019, many approaches have been employed to anticipate and project the future spread of COVID-19. This study provides a concentrated examination and concise evaluation of the forecasting methods utilised for predicting COVID-19. To begin with, A comprehensive scientometric analysis has been conducted using COVID-19 data obtained from the Scopus and Web of Science databases, utilising bibliometric research. Subsequently, a thorough examination and classification of the existing literature and utilised approaches has been conducted. First of its kind, this review paper analyses all kinds of methodologies used for COVID-19 forecasting including Mathematical, Statistical, Artificial Intelligence - Machine Learning, Ensembles, Transfer Learning and hybrid methods. Data has been collected regarding different COVID-19 characteristics that are being taken into account for prediction purposes, as well as the methodology used to develop the model. Additional statistical analysis has been conducted using existing literature to determine the patterns of COVID-19 forecasting in relation to the prevalence of methodologies, programming languages, and data sources. This review study may be valuable for researchers, specialists, and decision-makers concerned in administration of the Corona Virus pandemic. It can assist in developing enhanced forecasting models and strategies for pandemic management.

Global research contributions on orchids: A scientometric review of 20 years

Orchids, renowned for their attractive beauty, play vital roles in ecosystems worldwide. Many researches highlight the role of orchids as indicator species, reflecting ecosystem health and vulnerability to environmental changes. Across the globe, numerous articles have been published on these topics, facilitating the exchange of innovative ideas their pros and cons. However, no study was conducted to evaluate the trends of research in this field. It is also very essential to understand the prolific authors, sources, journals, institutions, recent trends, and other relevant factors associated with orchids. As a result, this paper is undertaken to comprehensively map the existing articles published on the orchids and its relevant research with a scientometric method. The dataset was downloaded from the Scopus database from 2003 to 2022 and for analysis; Bibliosiny (version 6.1.R2) and VOSviewer (version 1.6.18) were used. A total 18600 numbers of records were globally published under the topic during the entire period from 2003 to 2022. Publications were also contributed from different sources such as journals and books. Total 543660 numbers of references are used in the different documents, and 43216 authors contributed their work in this field. Moreover, this paper also highlights the urgent need for concerted efforts to protect and preserve these valuable plants for ecosystems, ensuring the understanding of the lacking of research on orchids.

Two decades of IFRS research: scientometric review analysis

Two decades of IFRS research: scientometric review analysis

A Scientometric Analysis of Language Teacher Emotions (2004-2022): Spotlight on the Impact of the COVID-19 Pandemic on LTE Research

Frontline language teachers have experienced anxiety, vulnerability, and emotional burnout as a result of the sudden transition to online teaching due to the COVID-19 pandemic. This study extracted Language Teacher Emotions (LTE) literature from the Scopus database during the period 2000-2022. During the first round of data extraction, 169 relevant documents written in English were identified. Furthermore, the researchers conducted a scientometric analysis using the literature analysis tool, CiteSpace (v.5.8.R3), and employed co-citation techniques involving visualization and text mining. Our results indicate the following: (1) The first LTE publication was released in 2004, followed by a growing number of publications in the first decade. Nevertheless, more studies were published during 2020-2022; (2) The five countries with the highest number of publications were the USA, China, Iran, the UK, and Turkey; (3) According to Author Co-citation Analysis (ACA), the majority of researchers had expertise in language education, teaching methods, educational assessment, teacher education, and applied psychology; (4) Based on the Document Co-citation Analysis (DCA), emotional labour, emotional burden, and vulnerability were the primary topics of interest; (5) Cluster analysis of keywords indicates that the LTE research trajectory was inevitably affected by the COVID-19 pandemic. As the first scientometric review of LTE research, this study calls for a greater understanding of the impact of online and blended teaching during the post-pandemic period. It will be of interest to inter-domain researchers and frontline teachers in terms of identifying influential scholars, publications, and research trends, as well as considering future research projects.

Situations of Internationalization of Higher Education Under The Covid-19 Pandemic – A Scientometric Review

Situations of Internationalization of Higher Education Under The Covid-19 Pandemic – A Scientometric Review

The Construction of Affordable Housing in Developing Countries: a Scientometric Review

The presence of affordable housing in developing countries is a crucial issue in order to fulfill the primary need for housing in a large market segment, especially people whose income is below the average household income. In contrast to developed countries, the development of studies on affordable housing construction (AHC) in developing countries has not been well mapped. This certainly creates many gaps in determining the direction of future developments, especially related to the studies that will be carried out. This study tries to map the development of scientific publications related to AHC in developing countries, from 1983 - 2021. Using scientometric techniques and VosViewers as a data processing tool, 116 publications that meet the given criteria have been identified. The findings of this study reveal a mapping of publications organized by country, organization, research outlet, author, document citation, and main research area. During the observation period, most research focused on developing nations, affordability, sustainable development, the construction industry, and the developing globe. In addition, the results of this study also successfully mapped opportunities for future research focuses related to building materials, affordable housing, low-income populations, decision-making, and structural design. In conclusion, this study highlights the need for further research on affordable housing development in developing countries to guide policy makers and researchers in developing affordable housing solutions that meet the housing needs of low-income households.

Capital Structure Decisions: A Scientometric Assessment and Future Research Lines

A company’s capital structure has long captured the interest of academics, industry professionals and decision-makers in corporate finance. This scientometric review carefully examines the large body of research on capital structure decisions. Co-word and co-citation analyses were used as two scientometric analytic techniques. Combining these two techniques helps the researcher understand the studied issue’s evolution and the field’s overall picture. A final dataset of 4,873 was used to synthesise and analyse the capital structure-related research. To the best of our knowledge, there is no comprehensive scientometric review of the literature on the domain of capital structure with this extensive data corpus. This review uses a scientometric approach to analyse the evolution of capital structure research, identify emergent trends and highlight areas that necessitate further investigation. This research lays the groundwork for future scholarly endeavours that resonate with the intricacies of capital structure’s role in value creation and firm sustainability, thereby improving our understanding of capital structure decisions in the contemporary financial landscape.

Financial Aspects of Elderly Care that Enhances their Quality of Life: A Scientometric Review

Financial Aspects of Elderly Care that Enhances their Quality of Life: A Scientometric Review

Sustainability of Green Building Materials: A Scientometric Review of Geopolymers from a Circular Economy Perspective

Ecosystems suffer from CO2 emissions and pollution caused by waste materials, mainly agricultural and industrial, that are dumped in landfill sites. These materials contain aluminosilicates, which are key ingredients for producing geopolymer composite (GPC). While cement, the main component of ordinary Portland cement (OPC), is a highly energy-consuming and polluting material in terms of CO2 emissions, water absorption, and land depletion, GPC is an emerging building material that can contribute to the sustainability of the construction industry. In this research, bibliometric data on GPCs were collected from Dimensions databases, and a scientometric analysis was performed using the innovative VOSviewer software (ver. 1.6.19). The scope was to examine the development of GPC for construction applications in the context of a circular economy and as an emerging green building material. Using specific query metrics and three keywords (geopolymer, circular economy, and green building materials), bibliometric records were analyzed to identify the articles, authors, and journals with the highest impact. This investigation can help scholars and policymakers in deepening their knowledge in this growing research area. From a societal perspective, this study stimulates geopolymer developments through policies aimed at promoting the circular economy, such as the adoption of green subsidies in research and development (R&D) and production.

A systematic scientometric review of paternal inheritance of acquired metabolic traits

BackgroundThe concept of the inheritance of acquired traits, a foundational principle of Lamarck’s evolutionary theory, has garnered renewed attention in recent years. Evidence for this phenomenon remained limited for decades but gained prominence with the Överkalix cohort study in 2002. This study revealed a link between cardiovascular disease incidence and the food availability experienced by individuals’ grandparents during their slow growth periods, reigniting interest in the inheritance of acquired traits, particularly in the context of non-communicable diseases. This scientometric analysis and systematic review comprehensively explores the current landscape of paternally transmitted acquired metabolic traits.ResultsUtilizing Scopus Advanced search and meticulous screening, we included mammalian studies that document the inheritance or modification of metabolic traits in subsequent generations of unexposed descendants. Our inclusive criteria encompass intergenerational and transgenerational studies, as well as multigenerational exposures. Predominantly, this field has been driven by a select group of researchers, potentially shaping the design and focus of existing studies. Consequently, the literature primarily comprises transgenerational rodent investigations into the effects of ancestral exposure to environmental pollutants on sperm DNA methylation. The complexity and volume of data often lead to multiple or redundant publications. This practice, while understandable, may obscure the true extent of the impact of ancestral exposures on the health of non-exposed descendants. In addition to DNA methylation, studies have illuminated the role of sperm RNAs and histone marks in paternally acquired metabolic disorders, expanding our understanding of the mechanisms underlying epigenetic inheritance.ConclusionsThis review serves as a comprehensive resource, shedding light on the current state of research in this critical area of science, and underscores the need for continued exploration to uncover the full spectrum of paternally mediated metabolic inheritance.

A scientometric review of structural topology optimization

Structural topology optimization seeks to identify the most efficient way to allocate material within a given domain to achieve a specific design objective. This research area has broad applications in various fields, including mechanical design and other physical disciplines. Over the past two decades, a great variety of applications and diverse research papers on structural topology optimization have been undertaken and published in the last two decades to highlight its acceptance and advantages. This paper presents a scientometric analysis of 5713 papers published between 2000 and 2022 to provide an overview and visualization of the development of structural topology optimization. While there are numerous approaches to topology optimization, this study focuses on presenting a quantitative analysis of the most popular and influential methods. The method used in this paper involved data collection and analysis through CiteSpace, one of the most popular software tools in this field. This paper provides a comprehensive overview of the latest developments of research in structural topology optimization and identifies key directions for future research. The analysis of the top 10 co-cited articles revealed four main approaches that have been developed for structural topology optimization.

What makes an informative and publication-worthy scientometric analysis of literature: A guide for authors, reviewers and editors

In light of the proliferation of scientometric/bibliometric software and its accessibility to a wide array of researchers, we have witnessed a substantial increase in literature analyses founded in these methods across diverse scientific domains. With these methods gaining popularity, the influx of similar papers seeking publication is expected to continue in the forthcoming years. However, persistent questions remain regarding the benchmarks for a well-justified, informative, and publication-worthy scientometric review paper. This concern resonates not only with authors but also holds significance for editors and reviewers tasked with evaluating the quality, rigour, and relevance of such contributions. In this context, this paper furnishes a concise guide elucidating the fundamental criteria underpinning a publication-worthy scientometric literature analysis. Encompassing the entire spectrum of steps integral to a scientometric review, the guide addresses the rationale and benefits of undertaking such an analysis. This includes all relevant aspects such as scoping, data procurement and search methodologies, visualisation, result delineation and interpretation. Furthermore, this guide addresses a range of prevalent misconceptions and common errors with respect to this genre of scholarly publications. It concludes by proposing a quality checklist that can be used as a standard benchmark for assessing studies that employ methodologies of scientometric literature analysis.

A Scientometric Analysis of the Use Indices for Water Quality Biomonitoring

Water resources are supplied under strong anthropic pressures and result in several problems of water contamination in the world, which necessitates the use of methodologies for their evaluation. Thus, this research aimed to identify the biomonitoring indices based on macroinvertebrates in the evaluation of the quality of the water used and to identify its application trends. The study was developed through a scientometric review over a 20-year period (2000–2020). The search consisted of articles indexed in the Scielo, ScienceDirect, and Scopus databases, based on the keywords “biotic index” * OR “aquatic macroinvertebrates” * OR “benthic macroinvertebrates” * OR “Biomonitoring” * AND “water quality.” Selection, such as inclusion and exclusion, was applied in the Start program (State of the Art through Systematic Review-Start). The results showed that the EPT index (Ephemeroptera, Plecoptera, and Trichoptera) was the most used among all researched databases (20%), and among the Ecological Indicators journals from which the largest number of publications were obtained (11%). Regarding the indices used in biomonitoring research, the ASPT index (average score per taxon) was the only one with a tendency to increase in use over the years (R² = 0.29; p < 0.05). Although the biomonitoring indices are commonly used worldwide denoting that it is still an alternative tool, this literature review showed that among the indices only one has a trend of use, which must be considered for further research.

Emerging trends in silicosis research: a scientometric review.

Silicosis is a global disease whose prevention efforts cannot be ignored today. Although numerous silicosis-related data have been published recently, emphasizing the characteristics and nature of silicosis, a summary of the developmental laws of research is lacking, especially in the visual analysis of the literature. We aim to address this issue through a scientometric review. The Web of Science Core Collection and the All Databases were searched with "silicosis" as the topic, excluding unrelated publications, and obtained data from 9802 and 1613 publications, respectively. The data was then analyzed using the Web of Science's online scientometric analysis function and CiteSpace's visual analysis functionality, including publication volume analysis, co-occurrence analysis, co-citation analysis, cluster analysis, and explosive detection. The results identify the "respiratory system" as the most influential area over a century. Furthermore, the publication's number was correlated with the gross domestic product. We ranked countries and institutions based on the frequency of publications and discovered that Europe, the USA, and China are the leading regions for silicosis research, with the USA and Europe having a stronger influence. Many reports related to artificial stone and denim jean production have been studied through citation analysis, indicating new epidemic trends in silicosis. Besides, silicosis-related diseases and the pathogenesis of silicosis were the research hotspots of silicosis through co-occurrence keyword analysis and outbreak detection. Furthermore, related diseases include coal workers' pneumoconiosis and tuberculosis, while the mechanism of silicosis includes studies on inflammation and fibrosis, oxidative stress, alveolar macrophages, apoptosis, and pathways.

Trends in photodynamic therapy for dermatology in recent 20 years: A scientometric review based on CiteSpace.

Analyze the research state and development trend of photodynamic therapy for dermatology using visual knowledge graphs derived from the Web of Science Core Collection database. The Web of Science Core Collection database was utilized as the search data source for the bibliometric analysis, and the associated articles published between January 1, 2000, and December 31, 2022, were obtained using the search terms "photodynamic therapy" and "dermatology". CiteSpace, VOSviewer, and additional tools were utilized for bibliometric analysis, and visual knowledge graphs were created. Eight hundred and thirty two articles were retrieved in total, and 747 were included following de-duplication and transformation. The country with the greatest number of publications is the United States; the primary research institution was University of Copenhagen; and the references with the highest centrality were primarily concerned with the selection of photosensitizers; High frequency keywords primarily comprised 5 aminolevulinic acid and basal cell carcinoma; and the clustering graph revealed that all keywords fell into 11 categories. In numerous areas of dermatology, photodynamic treatment is commonly employed. Current research focuses on nonneoplastic skin diseases and the choice of photosensitizers. Nonetheless, its specific mechanism and other applications merit further investigation.

Sustainable investments: a scientometric review and research agenda

PurposeSustainable investments (SI) represent a promising class of investments, combining financial returns with mitigating environmental challenges, achieving SDG goals and creating a positive business impact. An enhanced global focus on climate change developments in the backdrop of COP26 and COP27, raised the need for comprehensive literature mapping, to understand the emerging themes and future research arenas in this field.Design/methodology/approachThe authors apply a quali–quantitative approach of bibliometric methods coupled with content analysis, to review 1,022 articles obtained from the Web of Science (WoS) database for 1991–2023.FindingsThe results identify the leading authors and their collaborations, impactful journals and pioneering articles in sustainable investment literature. The authors also indicate seven major themes of SI to be financial performance; fiduciary duty; CSR; construction of ESG-based portfolios; sustainability assessment tools and mechanisms; investor behavior; and impact investing. Further, content analysis of literature from 2020 to 2023 highlights emerging research issues to be SDG financing via green bonds and social impact bonds; investor impact creation via shareholder engagement and field building strategies; and governance related determinants of firm-level sustainable investments. Finally, the authors discuss the research gaps across these themes and identify future research questions.Originality/valueThis paper crystallizes research themes in sustainable investment literature using a vast coverage of globally conducted studies published in reputed journals till date. The findings of this study coupled with future research questions provide a well-grounded foundation for new researchers to further explore the emerging dimensions of this field.