Publication Trends Research Articles

Bibliometric Analysis: Interactive Multimedia For Mathematics Learning

With the development of technology in the 5.0 era, it is possible for students to use technology-based learning media such as interactive multimedia which combines video, animation and audio, thus allowing users to interact and understand the material, as well as increasing learning that is more interesting and interactive. This research aims to see the trend of publication of interactive learning media in mathematics learning from 1993-2023 on Scopus, to see the most countries that study interactive multimedia articles in mathematics learning, to find out published journals regarding interactive multimedia in mathematics learning, and to find out the level of education who use interactive multimedia a lot in mathematics learning. The method used is descriptive research using bibliometrics for publication mapping with the help of VOS viewer. Data collection techniques use Scopus with the keyword’s interactive multimedia and mathematics. The amount of data retrieved from 359 articles to 38 articles regarding interactive multimedia in learning mathematics. Research results show development publication in 1993-2023 on search sqopus the highest in 2010 was 4 publications with 0.12%. Mathematics education for 29 years has increased every year. Malaysia is the country with the largest number of articles on interactive multimedia, namely 87 articles. The journal that publishes interactive multimedia articles is Educational Technology and Society with 79 articles. Writer article the highest of each is article written by (Goodwin, 2008). The level of education that often uses interactive multimedia is Junior High School (SMP) with 10 articles.

A Survey of Quantitative Techniques in Electricity Consumption—A Global Perspective

This study uses the Scopus and Web of Science databases to review quantitative methods to forecast electricity consumption from 2015 to 2024. Using the PRISMA approach, 175 relevant publications were identified from an initial set of 821 documents and subsequently subjected to bibliometric analysis. This analysis examined publication trends, citation metrics, and collaboration patterns across various countries and institutions. Over the period analyzed, the number of articles has steadily increased, with a more rapid rise observed after 2020. Although China dominates this research field, strong bibliographic coupling worldwide indicates significant international collaboration. The study suggests that no single method consistently outperforms others across all contexts and that forecasting methods should be adapted to regional contexts, considering specific economic, social, and environmental factors. Furthermore, we emphasize that review papers should compare methods and results regarding both time horizon and temporal resolution, as these aspects are crucial for the accuracy and applicability of the forecasts.

Building Digital Trust and Rapport in the Tourism Industry: A Bibliometric Analysis and Detailed Overview

In the rapidly changing environment of the tourism business, building digital trust and rapport has appeared as a critical factor for sustaining profitable customer relationships and confirming long-term business survival. This study aims to provide a comprehensive overview of the research landscape with respect to digital trust and rapport establishment within the tourism context using techniques for bibliometric analysis in conjunction with visualization. This research paper explores publication trends, identifies key journals and authors, and determines the most productive countries, academic institutions, and primary research keywords. It involves analyzing publications from the Scopus database focusing on the duration between 2014 and 2023. The findings show that the digital trust and rapport-building literature expands its importance within the tourism industry due to factors such as competition pressure; customers’ high expectations; the incorporation of technology; and, most recently, the occurrence of pandemics like the COVID-19 pandemic. The US, in particular, can be identified as the most productive country in this research area. The International Journal of Contemporary Hospitality Management and the International Journal of Hospitality Management appear to be popular scientific publications on this topic. They present the following main research themes: customer engagement, employee conduct, and technology in the construction of trust. This study also underscores the practical role of the findings in successful endeavors within the field, detailing how cultural sensitivity, technological incorporation, and accessibility in service provision would contribute to building digital trust with international customers. Potential future research directions are proposed to advance the understanding of culture, technology, the effects of crises, and the application of other research methods.

Opportunities promoting social inclusion in elementary school learning context: study of Merdeka Curriculum the Indonesian policies on GEDSI (Gender, Disability, and Social Inclusion) framework

Social inclusion is an effort to improve the dignity of disadvantaged individuals so that they can engage in social life. This research explains how the Merdeka Curriculum can direct students as social beings who have character and can accept various roles in the surrounding community. In essence, social inclusion is beginning to take shape and play a crucial role in education. The purpose of this research is to examine the potential of the Merdeka Curriculum policy in promoting social inclusion in the elementary school learning context. Bibliometric analysis is employed to examine publication trends using the Google Scholar database from 2013 to 2023. A total of 760 articles gathered from Publish or Perish are then subjected to data visualization analysis using a VOS viewer to obtain network, overlay, and density visualization. The research findings indicate that studies related to the Merdeka Curriculum significantly increased in 2023 in line with its implementation, but studies addressing social inclusion were relatively scarce. Based on network visualization, 59 terms are grouped into 9 clusters. The term 'Multiculturalism' exhibited a relatively high link strength in connection with terms such as 'new curriculum,' 'modern,' and 'national curriculum' in the current context of the Merdeka Curriculum policy. Other terms found include 'diversity,' 'social inclusion,' and 'social cohesion.' The co-authorship analysis identified 1543 contributing authors. Given Indonesia's multicultural nature, characterized by diversity in various dimensions, Researchers focus the findings of this research as a guide for educators to consistently provide inclusive, comprehensive, and interesting teaching approaches to all students.

Quality Of Audit In Public Sector Organizations: Trends And Article Analysis

This study purpose to explore and analysis the "characteristics of audit quality" through two questions: 1. what are the publication trends of audit quality-themed articles based on research contributors, and 2. what are the developments in research related to audit quality up to the present. The study employs a systematic literature review using keywords that describe the article topic coverage to identify trends in audit quality characteristics. The sample consists of 26 articles from the database SCOPUS from 2011 to 2020 on audit quality. The results indicate that University Utara Malaysia's contributions dominate among institutional contributors to the articles, article contributions are predominantly from Indonesia by country, and contributions are dominated by the International Journal of Economics Research based on journal source. The final results related to audit quality show variability with appropriate testing. This research empirically contributes to the development of literature and aids in analyzing audit quality-related research.

A Review of Renewable Energy Investment in Belt and Road Initiative Countries: A Bibliometric Analysis Perspective

Since the proposal of the “Belt and Road” initiative (BRI) in 2013, China’s renewable energy investments in the countries along the route have shown rapid growth and diversification. These investments have shifted from initial product exports and engineering contracts to deeper equity investments and financing cooperation. They not only promote a global energy structure transformation towards green and low-carbon development but also bring significant economic growth and social progress to the participating countries. This study aims to systematically review the research status and trends of renewable energy investments in “Belt and Road” countries through comprehensive bibliometric analysis. Utilizing the Web of Science database and VOS viewer 1.6.17 software for visualization, this research reveals the publication trends, high-impact articles, institutional collaborations, and author networks in this field. Additionally, through keyword co-occurrence network analysis, three core research themes are identified: investment motivations, synergy effects, renewable energy consumption, and international cooperation. This systematic bibliometric analysis not only outlines the current research landscape but also provides important insights for identifying emerging research directions, thereby supporting more in-depth investigations into renewable energy investments within the “Belt and Road” initiative.

Potential Increasing Trend in Schizophrenia Relapse Prevention in the Past 40 Years: A Bibliometric Analysis.

Schizophrenia is an organic disease and a severe mental disorder with a relatively high risk of relapse. The rising rate of schizophrenia relapse has motivated researchers and academics to innovate and develop interventions aimed at relapse prevention. This bibliometric study sought to examine the publication trends in schizophrenia relapse prevention from 1973 to 2023, assess the contribution of international collaborations across various journals, identify the most influential authors and articles, and forecast future developments in this field. The study included 683 articles obtained from the Scopus database, analyzed using VOSviewer software, and visualized with Tableau. Reports of schizophrenia relapse prevention strategies have increased significantly over the last 3 decades. However, fluctuations persist, as evidenced by the annual number of publications ranging from 25 to 40 within the past 5 years. Nevertheless, this increasing trend underscores the sustained interest in this area of research. Regarding contribution size, the United States produced the largest volume of publications on this subject. John M. Kane authored the most articles, while Stefan Leucht exhibited the highest h-index. Frequently used keywords in this field include "relapse AND schizophrenia" AND "prevention." These results represent an important reference for determining the current state of research on schizophrenia relapse prevention and future research directions.

A Bibliometric Analysis on the Topic of Social Policy

Social policy relates to a variety of social phenomena. Over recent decades, it has attracted the interest of scholars from a variety of academic disciplines as well as that of national and international organizations. This study applied the bibliometric approach to identify and analyse articles present in the Web of Science database, published in the English language, containing the term social policy in the title, abstract, or author keywords. Bibliometric networks and analyses were conducted using bibliometrix and VOSviewer software. The results show that the publication trend of articles on social policy varied over time and in association with social phenomena; for instance, an increase in publications occurred in the wake of the 2008 financial crisis. COVID-19, environmental issues, migration, and austerity were the main social policy topics being addressed in more recent investigations. This paper advances our knowledge about the research trends on the topic of social policy. This analysis included all articles published until the end of 2023 and can thus be considered to be up to date at the time of publication. It highlights the latest topics social policy has become interested in and the range of research disciplines it is associated with.

Research trends and hot topics of wearable sensors in wound care over past 18 years: A bibliometric analysis

ObjectiveThis study determined the development trends, analyzed collaboration networks, and identified research hotspots in the field of wearable sensors for wound care from 2007 to 2024 using a rigorous bibliometric analysis approach. MethodsBibliometric and scientometric analyses were performed utilizing data sourced from the Web of Science Core Collection database. This study examined publication trends, contributions from various countries and institutions, author productivity, keyword prevalence, and citation patterns to discern research hotspots and potential future avenues in the application of wearable sensors for wound care. ResultsThis study included 1177 articles, which demonstrated a marked increase in publications since 2016 and underscores the burgeoning interest in wearable sensors for wound care. China and the United States have emerged as prominent contributors to the research field, exhibiting numerous international collaborations. An analysis of keywords and citation bursts highlighted wound healing, hydrogels, and sensors as the key research foci with recent trends shifting towards the integration of wearable technology with advanced materials and artificial intelligence for advanced wound management. The research landscape is characterized by a diverse network of international collaborations and an emphasis on interdisciplinary approaches that integrate materials science, sensor technology, and clinical applications. ConclusionThe utilization of wearable sensors in wound care constitutes a rapidly progressing area of research, garnering significant interest and promising avenues for future advances. The integration of wearable sensors with advanced materials and AI technologies presents a frontier of opportunity for innovating wound care methodologies, enhancing patient outcomes, and optimizing the allocation of healthcare resources.

A Review of Conventional and Environmentally Sustainable Glitter

ABSTRACTPlastics offer several benefits, such as durability, versatility, and cost‐effectiveness, which have led to their pervasive use in nearly every aspect of modern life. However, their widespread use has led to significant environmental concerns. One of the major issues is their persistence in the environment, where they accumulate and cause contamination. This problem is particularly severe with plastic packaging and microparticles used in cosmetic products. As a result, the cosmetics industry started producing environmentally sustainable glitter. “Biodegradable” glitter is available in distinct compositions, mainly with a central base composed of a biodegradable material. This review focuses on academic research and patents related to glitter and biodegradable glitter, aiming to classify and compare commercially available options. Furthermore, this review analyzes scientific research on conventional glitter and its conclusions regarding environmental impact. For this, we used the keywords “glitter,” “biodegradable glitter,” “eco‐friendly glitter,” “natural glitter,” and “sustainable glitter” in the databases of Wiley, Science Direct, Springer, and Clarivate Analytics ISI—Web of Science. We also performed a bibliometric analysis using the keyword “glitter” in the Web of Science database to obtain a bibliometric map of publication trends in the field using VOSviewer software. The products identified in the search were analyzed for their components and biodegradation potential. These products were classified as “biodegradable” if they were composed entirely of biodegradable constituents and as “eco‐friendly” if only a portion of their constituents was biodegradable. We observed that several glitter products are incorrectly classified as biodegradable, demonstrating the need for standardized terminology that accurately reflects the composition of the glitter particles. Patent applications indicate a growing interest in developing environmentally safe glitter particles in recent years. Studies on conventional glitter mainly focus on its environmental impact or discuss analyzes for the identification and classification of glitter particles. The data gathered highlight the gaps in the field, mainly related to glitter production methods and the standardization of biodegradable glitter. Thus, studies in this direction are highly necessary.

Global trends and hotspots in research of paronychia: A bibliometric analysis.

Paronychia is a prevalent clinical disease profoundly affecting patients' quality of life. As ongoing evolution in modern living environments, factors contributing to paronychia are becoming increasingly diverse. Therefore, a further understanding about latest trend of paronychia is imperative and pressing. A systematic literature search was performed based on Web of Science Core Collection and Science Citation Index Expanded. The search parameters encompassed keywords associated with paronychia from 1980 to 2023, and rigorous data cleaning procedures were executed to maintain the analysis's relevance and dependability, supplemented by a thorough examination of abstracts and titles. Visibility analysis was conducted with Citespace and VOSviewer tools to explore the publication trends, collaborative networks, and impactful studies. A total of 595 articles were included in this study. The annual publication trends exhibited a significant increase since 1990, reached a peak of 41 articles in 2021. Collaborative relationships among countries demonstrated strong connections, with the United States leading in both publication volume, citation records and international cooperation. Keyword analysis indicated that in recent years, a substantial body of research has concentrated on paronychia issues caused by epidermal growth factor receptor inhibitors (EGFRI)-class drugs, such as Gefitinib, Erlotinib, and Afatinib, in the context of tumor treatment. In this area, most of the recent hotspots are not focused on the basic research about paronychia due to the basic research about traditional paronychia already reached a relative mature stage. However, with the widespread clinical application of EGFRI anticancer drugs, the incidence of drug-induced paronychia is inevitably on the rise. Therefore, with the expanding diversity in the etiology of paronychia, this area deserves a multiple discipline cooperation with a much wider international communication.

Insights into frankincense and myrrh research: A comprehensive analytical study of patterns and perspectives

ObjectiveFrankincense (Boswellia) and Myrrh (Commiphora) are natural substances that have a long history of traditional use and potential therapeutic applications. This study aimed to provide comprehensive insights into the literature on Frankincense and Myrrh research (FMR) by examining patterns, perspectives, and research trends within the research landscape. MethodsThis bibliometric study utilized MeSH-generated terms, followed the PRISMA guidelines, and analyzed English-based bibliographic data from original studies retrieved from the Scopus database. The VOSviewer and Bibliometrix applications were employed to analyze the CVS and BibTex data consisting of 955 records. This study focuses on publication trends, research topics, citation counts, research impacts, and collaboration dynamics. ResultsThe analysis revealed a steady increase in FMR, indicating growing interest in these substances. Egypt, the United States, and Saudi Arabia are the most prolific countries in terms of research output. FMR primarily focuses on chemical composition, pharmacological properties, and medicinal applications. Key research topics include identification and analysis of bioactive compounds, optimization of extraction techniques, and evaluation of their therapeutic potential. Surprisingly, the thematic map was overwhelmed by the niche, motor, basic, and emerging themes. Trending topics in FMR include “Myrrh oil”, “sesquiterpene”, “tapping”, “triterpenoids”, and “allergic contact dermatitis”. Collaboration networks highlight the involvement of diverse stakeholders, indicating the importance of multidisciplinary and international collaboration in advancing the field. ConclusionsThese insights contribute to a better understanding of the research landscape of FMR, guiding future studies and facilitating the utilization of these natural substances for the benefit of society.

MAPPING WHISTLEBLOWING THROUGH THE ROLE OF WHISTLEBLOWERS: A BIBLIOMETRIC ANALYSIS

This study explores whistleblowing's role in addressing fraud and corruption in Indonesia. Using bibliometric analysis, we examined publication trends, document types, subject areas, influential authors, and critical topics in whistleblowing research from 2014 to 2023. Data were collected from the Scopus database, analyzed with the Publish or Perish application, and visualized using a VOS viewer. The results show that articles dominate the field, making up 80.25% of total citations. The findings have significant implications for policymakers, practitioners, and academics. It is a beneficial overview of whistleblowing research, but it only needs to be better and measured based on these findings. These insights do not offer actionable guidelines or strategies but work as, at most, a compass map of existing research trends and areas of interest in whistleblowing discussions. However, the lessons could form a valuable database for anyone to understand the current status of the research ecosystem. However, more than insights alone need to be directly translated into practical designs or applications like building up a system for whistleblowing and anti-fraud, et cetera, which would require further (more applied) studies.

Looking Back to Look Forward: Publication Trends in the First Decade of Sociology of Race and Ethnicity

Looking Back to Look Forward: Publication Trends in the First Decade of <i>Sociology of Race and Ethnicity</i>

Advancing timber construction: historical growth, research frontiers, and time series forecasting

ABSTRACT Lauded for its capacity to curtail building energy consumption and enhance environmental performance compared to traditional mineral-based materials, wood has gained substantial traction in the construction sector. Timber construction, which is a focal point of growing interest in both industry and academia, warrants a reassessment of its historical trajectory and future prospects. This study examines publications on timber construction from 1990 to 2022 to analyze the growth path, shifting hotspots, and potential research directions in this field. By employing scientometric analysis, influential journals, articles, countries, and keywords are identified. Integration into a logistic growth model (LGM) showcases publication trends, while the Prophet model forecasts global growth. Research frontiers and emerging themes are revealed through keyword bursts surge evolution. This study offers a visualized knowledge framework, bridging current research with future trends and enabling practitioners and researchers to comprehensively grasp the evolution of timber construction.

Enhancing climate forecasting with AI: Current state and future prospect

Background The escalating impact of climate change underscores the critical need for advanced and sustainable climate forecasting techniques. This review examines the current state and future prospects of leveraging Artificial Intelligence (AI) for climate forecasting, focusing on enhancing accuracy and identifying complex patterns in large datasets. Methods A systematic bibliometric methodology was employed, analyzing peer-reviewed literature from the past two decades. The study screened 455 articles from Scopus and Web of Science databases using specific keywords related to AI and weather forecasting. After removing duplicates and irrelevant studies, 218 articles were selected for detailed analysis. Bibliometric analysis was conducted using RStudio software to examine publication trends, co-word co-occurrence, and thematic evolution. Results The findings indicate significant growth in AI applications for climate forecasting, particularly from 2014 to 2023. AI techniques such as machine learning, artificial neural networks, and deep learning have shown promise in improving the accuracy of weather forecasts and early warning systems. The thematic analysis identified key themes like numerical weather prediction, feature selection, and neural networks as fundamental areas of research. Additionally, AI-based early warning systems for extreme weather events were highlighted as a crucial application. Below Figure 1. shows the graphical abstract of research Conclusions AI has the potential to significantly enhance climate forecasting by analyzing vast amounts of data and identifying complex patterns. Future research should focus on developing universal AI models, increasing model accuracy with explainable AI techniques, and integrating region-specific forecasts to aid decision-making in various sectors. Addressing ethical concerns and ensuring sustainable AI applications are essential for the responsible deployment of AI in climate forecasting.

Sentiment Analysis of Nigerian Opinions Using Logistic Regression and Random Forest Algorithms: A Comparative Study

This study investigates the efficacy of Logistic Regression and Random Forest models in sentiment analysis using Nigerian-based datasets, namely "Gangs of Lagos" and "PeterObi Politics." Sentiment analysis, a vital component of Natural Language Processing (NLP), plays a crucial role in understanding public opinion and sentiment trends, particularly in the context of Nigerian socio-political discourse. Leveraging machine learning techniques, the study examines the performance of these models in predicting sentiment classes, including positive, negative, and neutral sentiments, within the datasets. The findings shed light on the strengths and limitations of Logistic Regression and Random Forest in discerning sentiment nuances prevalent in Nigerian language expressions with Logistic Regression outperforming Random Forest in both cases. This research contributes to the advancement of sentiment analysis methodologies tailored to Nigerian linguistic and cultural contexts, with implications for various applications, including social media monitoring, political analysis, and market research.

Scientific production on Para Athletics: A bibliometric review

Background: A comprehensive evaluation of the scientific production in the sport of Para Athletics, encompassing both quantity and quality, is lacking. Aim: To perform a quantitative and qualitative bibliometric analysis using science mapping techniques, to investigate publication trends, author network clusters, and keyword occurrence linked to the scientific production in the PA sport. Methods: Studies related to PA were identified throughout a search across the databases PubMed, Scopus, and Web of Science (Core Collection). Results: From an initial pool of 2,350 documents, 149 were deemed eligible and incorporated into the study. Most studies were published in the last 10 years, mainly in journals related to the fields of Sport Sciences and Rehabilitation. The keyword analysis revealed 364 unique keywords, 8 distinct clusters, 287 connections. Bibliometric examination unveiled 21 authorship network clusters, comprising 260 links. Countries that contributed with most research (75.7% of all published articles) includes United States, Canada, Brazil, United Kingdom, Germany, Netherlands, Spain, South Africa, Japan, and Australia. Conclusion: Research related to PA has increased exponentially in recent years, particularly in the fields of Sport Sciences and Rehabilitation. Collaborative research (authorship network clusters) seems prevalent, and all continents demonstrated participation in published studies, albeit with different relative contributions.

Digital Migration Infrastructure in return-writing: visualizing the migration landscape of India.

Digitization has carved out the migration patterns of immigrants over the recent years of increased technological interventions in human mobility. Migration infrastructures, which typically refer to the physical, commercial, humanitarian, and governmental modes of operation, are multidimensional in nature. Digital infrastructures are equally important to the physical ones as digital technologies facilitate these migration processes through agents like hardware, software, and mediating actors. Amongst the multiple forms of migration, the concept of return-writing and nostalgia-struck-returnees encompass individuals whose life trajectories run parallel to the homeland. The narrative of return to the homeland emerges aβs a dominant motif in literature due to the rising trends of globalization, the writers' reflection on their own migrant experiences, and publishing trends meeting the demand of the global book market. The objective is to assess the role of digital migration infrastructures in return migrations to India through a close reading of the selected texts and review of postcolonial literary theories by using conditional operation in Python. The study here explores the varied nuances of return migration with a primary focus on the external conditions of travel in migration literature. The paper aims to analyze the genre of return-writing in Indian English literature, through three novels over a period of two decades, i.e., from 2000-2023. The selected texts, beginning with Amit Chaudhuri's A New World (2000), Gun Island (2019) by Amitav Ghosh, and Devika Rege's novel Quarterlife (2023), offer a panoramic view of return migration. These novels are extensive in the time period of technological interventions and in depiction of return migration. The Python code examines the extent of existence of a set of digital migration infrastructure keywords by analyzing the content of the novels and creates bar plots and charts to offer a visual representation of the classification results. The resulting trend traces the increased intervention of Digital Migration Infrastructure in the recent migration literature.

Chiropractic and Spinal Manipulation: A Review of Research Trends, Evidence Gaps, and Guideline Recommendations

Chiropractors diagnose and manage musculoskeletal disorders, commonly using spinal manipulative therapy (SMT). Over the past half-century, the chiropractic profession has seen increased utilization in the United States following Medicare authorization for payment of chiropractic SMT in 1972. We reviewed chiropractic research trends since that year and recent clinical practice guideline (CPG) recommendations regarding SMT. We searched Scopus for articles associated with chiropractic (spanning 1972–2024), analyzing publication trends and keywords, and searched PubMed, Scopus, and Web of Science for CPGs addressing SMT use (spanning 2013–2024). We identified 6286 articles on chiropractic. The rate of publication trended upward. Keywords initially related to historical evolution, scope of practice, medicolegal, and regulatory aspects evolved to include randomized controlled trials and systematic reviews. We identified 33 CPGs, providing a total of 59 SMT-related recommendations. The recommendations primarily targeted low back pain (n = 21) and neck pain (n = 14); of these, 90% favored SMT for low back pain while 100% favored SMT for neck pain. Recent CPG recommendations favored SMT for tension-type and cervicogenic headaches. There has been substantial growth in the number and quality of chiropractic research articles over the past 50 years, resulting in multiple CPG recommendations favoring SMT. These findings reinforce the utility of SMT for spine-related disorders.