Solid waste management refers to collecting, treating, and disposing of solid waste that has served its purpose or is no longer useful. The primary purpose of this research is to map and visualize the solid waste management literature indexed on the Web of science between 1966 and 2021 based on bibliometrics analysis. This study also identified the most productive authors, sources, organizations, countries, research areas, funding agencies etc. This study employed the bibliometric method to analyze global research productivity on solid waste management literature. A total of 4444 research papers downloaded from the Web of science during the study period. Bibliometrics software, namely Bibexcel, VOSviewer, Biblioshiny, and Microsoft Excel, used to analyze the data. The results show that there was 4444 publication with 78759 citations between 1966 and 2021. The maximum number of papers, i.e., 424 published in 2020, in 1966 single paper published and received one citation. The journal Waste management published 382 papers and became the most relevant source of the topic, whereas Huang GH recognized as the most prolific author with 214 papers. China contributed a significant number of research papers in the field, while the University of Regina, Canada, emerged as a top-performing institution. China and Canada together collaborated more in producing literature in solid waste management. The study concludes that there is a need for further bibliometric study of other related topics in waste management, such as liquid waste management and gasses waste management.

This study aimed to gauge the quality of behavioral science journals on account of selected bibliometric indicators, namely Journal Impact Factor, Eigenfactor Score, CiteScore, SCImago Journal Rank; Source normalised impact per paper and H5-index. Also, to ascertain whether these indicators use as an alternative to each other for the assessment of the journals. 53 Journals from the behavioral science discipline have retrieved from Journals citation Report (JCR) of the Web of science. The JIF and ES metrics extracted from JCR, the metrics of CS, SJR and SNIP derived from Scopus and the metrics of H-Index managed from Google Scholar. The analysis has done by using IBM SPSS (21.0). Bivariate correlation coefficient has considered, a high Pearson's (r) found between JIF and SNIP (r = 0.928), while the lowest correlation recorded between JIF and H5 Value (r = 0.411). Spearman's (ρ) statistical correlation between JIF with CS shows maximum correlation, i.e. (ρ = 0.822), the minimum correlation recorded between JIF and H5-index ranks, i.e. (ρ= 0.664). The top five journals repeated in each indicator are "Trends in Cognitive Sciences", "Neuroscience and Biobehavioral Reviews", "Behavioral and Brain Sciences", "Cortex" and "Appetite". The linear correlation observed in term of values and ranks of metrics of the indicators with the help of scatter plot hence concluded that the selected indicators could use as an alternative to each other.

Background: This study aims to critically review, quantify, and assess research outcomes on brain-based learning with an evidence-based study on Scopus indexed literature, with a focus to understand the evolution structure and growth, detect trends, subject development, and most importantly, identify the gaps in the published body of literature that relates brain-based learning to design and visual arts education. Methods: Various scientometric tools were used to map, visualize, and analyze 186 research publications, indexed in Scopus in a twenty-year timespan ‘2001-2021’. Annual publication trends, relevant sources, prolific authors, authorship patterns, productive organizations and countries, funding agencies, keyword co-occurrence analysis, and thematic evolution mapping on brain-based learning publications were examined in this study. Results: Despite the significance to apply brain-based learning strategies in design and visual arts education to boost students’ knowledge and creative skills, the findings show a decline in quantities and growth patterns in brain-based learning research directed towards design disciplines in the past twenty years. Among the identified (186) documents published in (128) sources, with (1013) citations, the study detected only (57) research (30%) that were related to ‘design education,’ including those focusing on ‘instructional design, ‘and ‘syllabus design’ whereas only (3) articles were in ‘design and visual arts’ disciplines. Conclusion: These rather small numbers reflect the big gap in the current body of literature that associates brain-based learning with creativity-based disciplines, specifically in design and visual arts education. This infers the necessity to direct the attention of academics, researchers, and educationalists in the fields of design and arts towards brain-based learning applications, research and pedagogy.

Purpose: An increasing number of scholarly publications on autism spectrum disorder (ASD) have urged researcher interest in this topic; however, there is still a lack of quantitative analysis. Therefore, this study aims to cover the knowledge gap between the amount of literature published on ASD research on architectural and designers' perspectives compared to the medical and psychological fields. The study has analyzed global research output on ASD from a designer's perspective to recognize this gap related to designing the physical environment. Methodology: The bibliometric method was employed to analyze the published literature from 1992–to 2021. 812 papers were downloaded from the Web of Science for analysis based on annual growth of literature, prolific authors, authorship pattern, organizations, countries, international collaboration, and subject development by keywords and thematic map analyses. Various bibliometric and scientometric software was used to analyze the data, namely Bibexcel, Biblioshiny, and VOS viewer. Results: The812 research papers were published in 405 sources. 2019 appeared as a productive year (NP=101), and 2014 received the highest number of citations (TC=6634). Researchers preferred to publish as journal articles (NP=538; TC=24922). The University of Toronto, Canada, was identified as a productive institution with 42 publications and 5358 citations. The USA was the leading producing country with 433 publications, and most of the researchers published in the journal "Scientific Reports" (NP=16). The word autism (NP=257) and architecture (NP=165) were more frequently used keywords. Conclusion: The study identified a massive gap in the development of literature in ASD for architecture design and built environment perspective, the most important and trending keywords are missing, and the analyses also showed a lack of subject development. The authors have suggested areas and keywords for further research to fulfill the gap in the future.

Background: This study aims to critically review, quantify, and assess research outcomes on brain-based learning with an evidence-based study on Scopus indexed literature, with a focus to understand the evolution structure and growth, detect trends, subject development, and most importantly, identify the gaps in the published body of literature that relates brain-based learning to design and visual arts education. Methods: Various scientometric tools were used to map, visualize, and analyze 186 research publications, indexed in Scopus in a twenty-year timespan ‘2001-2021’. Annual publication trends, relevant sources, prolific authors, authorship patterns, productive organizations and countries, funding agencies, keyword co-occurrence analysis, and thematic evolution mapping on brain-based learning publications were examined in this study. Results: Despite the significance to apply brain-based learning strategies in design and visual arts education to boost students’ knowledge and creative skills, the findings show a decline in quantities and growth patterns in brain-based learning research directed towards design disciplines in the past twenty years. Among the identified (186) documents published in (128) sources, with (1013) citations, the study detected only (57) research (30%) that were related to ‘design education,’ including those focusing on ‘instructional design, ‘and ‘syllabus design’ whereas only (3) articles were in ‘design and visual arts’ disciplines. Conclusion: These rather small numbers reflect the big gap in the current body of literature that associates brain-based learning with creativity-based disciplines, specifically in design and visual arts education. This infers the necessity to direct the attention of academics, researchers, and educationalists in the fields of design and arts towards brain-based learning applications, research and pedagogy.