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The present study aims to trace out the science research output of top Indian universities from 2015 to 2019, as reflected in the Web of Science (WOS) database.

The present study has selected the Science Citation Index (SCI) of WOS core collection for selecting top Indian universities in terms of total publications in the last five years (2015–2019). The University of Delhi (DU), Banaras Hindu University (BHU), Anna University (AU), Jadavpur University (JU) and Punjab University (PU) have been selected. The study identified the most prolific authors, collaborating countries, collaborating institutions and the impact of their output in terms of citations per paper (CPP) and relative citation impact (RCI). For visualizing purposes, VOSviewer was used. The study also identified frequently used keywords and channels used for communicating research results.

The authors retrieved 26,173 documents consisting of journal articles, review papers and proceeding papers. The consistent growth of science research output has been observed. The University of Delhi (DU) has the maximum science publications. The study reflects that multi-authored papers have more research impact in terms of citation received. The USA, South Korea and Germany are the most collaborating countries. The top Indian Universities have a major collaboration with Anna University, Indian Institute of Technology, Center for Scientific and Industrial Research (CSIR) of India.

The present study reveals how the science research output of top Indian universities has grown in the last few years. The findings of the study can be used for identifying specific science research areas where special attention can be given.

Despite the construction industry's significant impact on high energy use and a growing carbon footprint, technologies like Green BIM help to optimize natural resources, reduce pollution, use sustainable space and work on human comfort and health. But the trend in a holistic approach is minimal. Thus, the paper aimed to systematically investigate Green BIM research and implementation trends using a mixed-method and also show the prospects of holistic Green BIM implementation.

First, we conducted a Scientometrics analysis on the topic using the Scopus database for the time interval of (2013–present). Secondly, the Qualitative Content Review method asserted the Scientometrics analysis result. Lastly, exploratory research was done on secondary data to compare the AEC industry trend for a comprehensive view.

The merged findings confirmed the partial implementation of Green BIM and of which 43% of research focused only on energy analysis. Despite the potential of BIM and the interrelationship among green building parameters, the result showed other aspects of green building and sustainable design parameters as green material selection, sustainable site, waste management and water-use efficiency not comprised.

The authors propose a new conceptual framework for integrating green building parameters, BIM tools and green building assessment tools in a life cycle of a project that adds into the sustainability of the Architectural, Engineering and Construction sector. The study would help to provoke researchers, software developers and practitioners for further innovative effort in holistic Green BIM implementation.

This article aims to show the application of scientometrics and patent bibliometrics in remaining useful life (RUL) analysis for evaluating the value of intangible assets.

Technology innovation management is strictly related to the RUL. The RUL concept is defined as the time remaining until the reliability drops below a defined minimal operating threshold. The RUL analysis of certain intangible assets (patents and know‐how licence agreements, industrial designs, trade marks, logos, customer base) is done through different methodologies and various different approaches. The key subject in all these methodologies is the life cycle of the technology. The analyst tries to approach the foresight of the life cycle of technology to establish its value in use. Different life measure systems are considered in RUL analysis depending on different typologies of technology life: statutory, contract, judicial, economic and functional. Data used in life cycle estimation may be used in RUL analysis. Typically, these data include scientific articles, registration documents (patent applications, trade marks and copyright applications), commercial contracts, judicial orders, financial statements and technology data.

The analysis of the life cycle allows the incorporation of qualitative considerations (legal, contractual, physical, technical know‐how, functional, economic) related to the conduct of future technologies. But technology development is conditioned by trends in scientific research and by the changes in the marketing dynamic, today and in the future. Qualitative methods provide a valuable information service that relates to the intangible assets over time. The “typical survivor curve” shows the released, remaining and probable life span of a certain technology by taking into account factors such as technological changes, marketing acceptance, and other exogenous and endogenous factors. Quantitative analysis of scientific production, applications for patents, industrial designs and trade marks, developed in scientometrics and bibliometrics, provide an unbiased guide to R&D and business trends.

The original purpose of the paper is to emphasise how the technology life cycle is influenced by changes in technology but also in scientific research evolution. Scientific research life analysis must examine the historical emergence or decay of a certain intellectual interest in the scientific community through the study of what is and what is not published in scientific journals.

The purpose of this paper is to summarize the research of construction conflict from 1991 to 2020 and propose research directions for future scholarly work. During the recent decades, it is widely accepted that construction conflict is inevitable, and conflict management has become an important component of project management. However, few works were done to map the global study in this field, there is limited review that evaluates the current stage of construction conflict research.

This study adopted a holistic literature review approach that incorporates bibliometric search and scientometric analysis. A total of 698 bibliographic records from the Web of Science core collection database were collected for the scientometric analysis. CiteSpace5.7 was adopted for the science mapping purpose in this study.

Through co-authorship analysis, co-word analysis and co-citation analysis, influential scholars and journals are identified. Several research trends are highlighted according to the scientometric analyses of the construction conflict topics. For example, the application of simulation and algorithms to the study of construction conflict management systems.

Construction is a resource-intensive, multi-participant and multi-targeted industry. Conflicts always exist in the whole life cycle of construction projects, it is important for industry practitioners to be updated of the latest movement and progress of the academic research.

This study contributed to the body of knowledge in construction conflict and bridge the research gap in the thorough review of previous research work.

This study aims to summarize the trend and overall aspect of Circular Economy (CE) in supply chain management research as a contribution of the previous research towards the CE concept narrowed in perspective, without presenting a specific application. Further, it is explored to identify the research hotspot, knowledge base, topic, landmark and pivot point in this research.

The scientometric mapping of CE in supply chain research papers is analyzed using VOSviewer and CiteSpace software to cover the broader field spectrum and overcome a manual review. The Research papers are extracted from the Web of Science core collection comprising keywords “Circular Economy*” and “Supply Chain*”. A number of 1,092 papers are selected from the reputed journals over 20 years (2001–2021) for review.

The co-operation visualization network analysis initially identifies the descriptive analysis of overall publications, leading authors, countries, institutions and journal sources. The co-occurrences of keywords present the research hotspot. Moreover, the co-citation cluster analysis identifies knowledge base, research topic, landmark and pivot point. Industry 4.0 integrated supply chain, their driver, barrier, challenges and risks need further investigation.

The findings are based on networks visualization analysis principles, which indicate connection, quality and impact of academic works that might be open to accusations. The methodology chosen for the research and findings interpretations are based on researchers' perceptive limitations and subjective judgment.

This review paper covers a diverse view to attain sustainable development goals due to considerable attention from researchers, practitioners and policymakers. Also is expected to set the future direction of the CE in the supply chain research.

Several manuscripts are adopting knowledge-based dynamic capabilities (KBDCs) as their main theoretical lens. However, these manuscripts lack consistent conceptualization and systematization of the construct. Consequently, the purpose of this study is to advance the understanding of KBDCs by clarifying the dominant concepts at the junction of knowledge management and dynamic capabilities domains, identifying which emerging themes are gaining traction with KBDCs scholars, demonstrating how the central thesis around KBDCs has evolved and explaining how can KBDCs scholars move towards finding a mutually agreed conceptualization of the field to advance empirical assessment.

The Clarivate Analytics Web of Science Core Collection database was used to extract 225 manuscripts that lie at the confluence of two promising management domains, namely, knowledge management and dynamic capabilities. A scientometric analysis including co-citation analysis, bibliographic coupling, keyword co-occurrence network analysis and text mining was conducted and integrated with a systematic review of results to facilitate an unstructured ontological discovery in the field of KBDCs.

The co-citation analysis produced three clusters of research at the junction of knowledge management and dynamic capabilities, whereas the bibliographic coupling divulged five themes of research that are gaining traction with KBDCs scholars. The systematic literature review helped to clarify each clusters’ content. While scientific mapping analysis explained how the central thesis around KBDCs has evolved, text mining and keyword analysis established how KBDCs emerge from the combination of knowledge management process capabilities and dynamic capabilities.

Minimal attention has been paid to systematizing the literature on KBDCs. Accordingly, KBDCs view has been investigated through complementary scientometric methods involving machine-based algorithms to allow for a more robust, structured, comprehensive and unbiased mapping of this emerging field of research.

This study aimed to identify the main and emerging structural patterns in the growth of the literature on probiotic research in food science, analyze current trends and determine gaps and present future projections.

A total of 1,301 scientific documents retrieved from Scopus database dated from 1993 to 2021 were analyzed by using bibliometric and scientometric tools.

The most influencer journals, leading countries and hotspots were identified by scientometric mapping. “Lactic acid bacteria”, “lactobacillus”, “lactobacillus plantarum”, “viability”, “functional foods” and “microencapsulation” were the top keywords that indicate main emerging areas. After a clear understanding of the current situation, future directions can be better projected. Therefore, investigating new probiotic microorganisms with advanced health promoting properties, adapting the new organisms to various food formulations, identifying the probiotic potential of unexplored traditional fermented foods and developing of nondairy probiotic foods can be the studies of the future.

Probiotic concept has been revised during years and valuable knowledge has been accumulated over past decades. The findings demonstrate the development and trends of probiotic related food science researches. This is the first study to address the limitations of prior systematic literature reviews by applying network analysis and guide future works to fill the identified gaps.

The probiotic concept has been revised for years and valuable knowledge has been accumulated. Within the expanding literature, scientometric and bibliometric analysis will provide valuable contribution for identifying the main patterns, analyzing current trends, determining gaps and presenting future projection. This work presents detailed analysis to determine tendencies in probiotic research in food science.

This paper aims to present a meta-analysis and scientometric review to explore the intellectual evolution of research on the health and safety of women in construction, identify trends and research patterns and workplace stressors and hazards encountered by women in the construction industry.

A combination of scientometric analysis and meta-analysis was adopted to systematically review 32 relevant studies from 1984 to 2020, to provide a holistic review of research on women’s health and safety in construction aimed to identify the trend of research development. Techniques such as co-authorship, keyword co-occurring and cluster analysis were adopted.

Five main themes summarized by clustering focusing on Workplace Psychological Health, HIV/AIDS and Construction Work, Occupational Health and Safety Injuries, Gender Inclusivity and Sexism in Construction and Gender-specific Health and Safety Analysis. Findings revealed a slow growth in women’s health and safety research with the USA, South Africa, Australia and Japan leading research development. Additionally, the major stressors or hazards faced by women in construction were found to be biological related hazards.

The findings of the study are limited, resulting from the use of one abstract and citation database.

Findings from the study provide insights to the health and safety challenges of women in construction and identifies of knowledge gaps in the existing literature could provide researchers and industry practitioners with a comprehensive insight into intellectual landscapes, potential research frontiers on technologies for women’s construction health and safety.

While numerous studies have focused on the health and safety of workers in the construction industry, research on women’s health and safety is lacking. The study adopted a scientometric and meta-analysis approach to explore the intellectual evolution and reflect the research status on the subject.

This study aims to thoroughly examine the trends and developments of crane layout planning (CLP) in the construction field and reveal future research directions for modular integrated construction (MiC).

Through a rigorous systematic mixed-review methodology that integrates bibliometric, scientometric and qualitative analysis, this study explored the crane layout research trend; the scientometric analysis of journal sources and keywords occurrence network; the research contributions and links between influential countries; the classification of research articles based on the type of problems and solution approaches; the qualitative analysis of existing findings and research gaps; and the future research direction for CLP in MiC.

This study found five categories under the CLP domain, namely, crane selection, crane location, integrated crane selection and location, integrated crane location and allocation of supply points and hybrid problems. The major research approaches used to solve CLP is optimization (43%), visualization (23%), decision support systems (16%), simulation (11%) and qualitative techniques (7%). The possible future research directions include artificial intelligence-based models, multi-crane locations, CLP for MiC re-use, dynamic models representing real-life scenarios and building information modeling-based virtual reality models.

Through a mixed-review methodology, this study provides a comprehensive analysis of problem settings and solution methods of CLP while mitigating the subjectivity of traditional review methods. Also, it presents a repertoire on CLP and illuminates future directions for seasoned researchers in the context of MiC.

Synergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles.

The synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks.

The findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles.

In a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.