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Research with stem cells is a biomedical venture with great scientific impact, and whose development flows over into many other areas. This article aims to present a dual analysis of Spain's scientific output in this field during the period 1997‐2007.

The authors used bibliometric indicators of a basic nature as well as techniques for the visualization and analysis of networks of scientific information based on a study of KeyWords Plus.

The output is mainly concentrated in Cataluña and Madrid, and hospitals are the most productive centres (followed by health institutes), where the main authors are affiliated. Main categories are hematology, oncology and biophysics. The outstanding areas of study revolve around the therapeutic use of transplant of hematopoietic progenitors, the processes of generation, proliferation and differentiation of lines of cells, and the study of neurosciences.

This study provides an overview of Spanish research involving stem cells, detecting and representing the main areas of research. The article considers the potential of KeyWords Plus in combination with the proposed methodology as particularly useful for the analysis and delimitation of a scientific domain.

The purpose of this paper is to visualize the structure of SCImago Journal & Country Rank (SJR) coverage of the extensive citation network of Scopus journals, examining this bibliometric portal through an alternative approach, applying clustering and visualization techniques to a combination of citation-based links.

Three SJR journal-journal networks containing direct citation, co-citation and bibliographic coupling links are built. The three networks were then combined into a new one by summing up their values, which were later normalized through geo-normalization measure. Finally, the VOS clustering algorithm was executed and the journal clusters obtained were labeled using original SJR category tags and significant words from journal titles.

The resultant scientogram displays the SJR structure through a set of communities equivalent to SJR categories that represent the subject contents of the journals they cover. A higher level of aggregation by areas provides a broad view of the SJR structure, facilitating its analysis and visualization at the same time.

This is the first study using Persson’s combination of most popular citation-based links (direct citation, co-citation and bibliographic coupling) in order to develop a scientogram based on Scopus journals from SJR. The integration of the three measures along with performance of the VOS community detection algorithm gave a balanced set of clusters. The resulting scientogram is useful for assessing and validating previous classifications as well as for information retrieval and domain analysis.

The purpose of this paper is to investigate whether potentially disadvantaged groups of researchers derive more research performance benefits from co-authorship network centrality (degree, closeness and betweenness).

The paper builds on Badar et al. (2013), which found positive associations of network centrality on research performance with a moderating relationship of gender for female authors. Using data from ISI Web of Science (SCI), the authors study the same domestic co-authorship network of Chemistry researcher in Pakistan publishing from years 2002-2009 and investigate the moderating role of academic age and institutional sector on the relationship between co-authorship network centrality (degree, closeness, and betweenness) and the academic research performance (aggregate impact factor) of chemistry university/institute faculty members in Pakistan.

Ordinary least squares (OLS)-regression findings indicated a positive relationship between degree centrality and research performance with a positive moderating relationship for both academic age and institutional sector on the relationship between degree centrality and research performance for junior faculty members and faculty members employed in private sector universities/research institutes.

The findings can be heartening and motivating for junior faculty and private institute faculty in Pakistan in suggesting opportunities to surpass barriers of domination and poor resource access through co-authorship ties and structural social capital.

This paper adds to the limited research by strengthening the argument that potentially disadvantaged faculty with certain individual (academic age) and work-related characteristics (institutional sector) may benefit differentially from their co-authorship network centrality.

This chapter offers a comprehensive review the literature on authentic leadership (AL). The authors employ a bibliometric approach to identify, classify, visualise and synthesise relevant scholarly publications and the work of a core group of interdisciplinary scholars who are key contributors to the research on AL. They review 264 journal articles, adopting a clustering technique to assess the central themes of AL scholarship. They identify five distinct thematic clusters: authenticity in the context of leadership; structure of AL; social perspectives on AL; dynamism of AL; and value perceptions of AL. Velt and Sinkovics assert that these clusters will help scholars of AL to understand the dominant streams in the literature and provide a foundation for future research.

Although the role of enterprise in R&D is broadly acknowledged, few attempts have been made to gather data for analyzing the nature and scope of private sector collaboration. This study aims to deliver empirical results based on quantitative data to gain insight into the role of private enterprise as an indispensable actor in scientific development and innovation.

The study aimed to deliver empirical results based on quantitative data to gain insight into the role of private enterprise as an indispensable actor in scientific development and innovation. To this end, an analysis was conducted of the contribution made by Spanish business, focusing on the 50 most active companies in terms of internationally visible scientific output, from three perspectives.

The findings provide insight into business involvement in the R&D system based on: research papers published; national, international and sectoral collaboration patterns; structural patterns; and the identification of the most prominent companies from a systematic comparison of their research results and their position in the resulting collaboration network.

Bibliometric analyses do not measure all types of publications. Indicators are usually based on data in the Thomson Reuters databases, which are regarded as being representative of peer‐reviewed, publicly accessible papers with high international visibility and impact. The Thomson Reuters databases feature a series of advantages that make them indispensable for studies on scientific collaboration.

One of the core ideas of this study is the emphasis on the essential role of collaboration in improving scientific results, as borne out by the correlation between the clustering coefficient and the hybrid indicators. The findings also provide proof of the success of strategies for institutional collaboration. The foregoing shows that the application of hybrid indicators to institutional aggregates yields novel results not explored in preceding studies.

The aim of this paper is to analyze responses of public universities to the introduction of New Public Management (NPM) as the outcome of balancing between the managerial logics endorsed by NPM and the academic professional logics. Building on the institutional logics approach, we develop a framework concerning how universities will achieve compliance to conflicting claims by strategies like compartmentalization and blending stipulations of both logics. Empirical results based on a large-scale survey of 26 universities in eight European countries display how compatibility is achieved through highly differentiated adoption of logics that depends on the task considered. The results reveal that the strength of NPM pressures strongly affects the adoption of managerial practices within universities yet has no significant effect on the academic characteristics.

The purpose of this paper is to attempt to provide a review of the growing literature on co-authorship networks and the research gaps that may be investigated for future studies in this field.

The existing literature on co-authorship networks was identified, evaluated and interpreted. Narrative review style was followed.

Co-authorship, a proxy of research collaboration, is a key mechanism that links different sets of talent to produce a research output. Co-authorship could also be seen from the perspective of social networks. An in-depth analysis of such knowledge networks provides an opportunity to investigate its structure. Patterns of these relationships could reveal, for example, the mechanism that shapes our scientific community. The study provides a review of the expanding literature on co-authorship networks.

This is one of the first comprehensive reviews of network-based studies on co-authorship. The field is fast evolving, opening new gaps for potential research. The study identifies some of these gaps.

Technology has revolutionized the delivery of health-care services, with e-consultations becoming popular mode of service delivery, especially during the pandemic. Extant research has examined the adoption of e-health consultation services, with little attention paid to examine the switching behavior. This study aims to identify factors affecting patients’ intentions to switch from conventional mode i.e. visiting hospitals/clinics to e-health consultations.

To understand this we use the push–pull–mooring (PPM) framework and integrate variables from status quo bias framework to the model. A cross-section research design was used, which rendered 413 valid responses which were obtained from the patients visiting a traditional hospital setup. The data was analyzed using partial least square – structural equation modeling using SmartPLS 3.0.

Findings suggest that push effects (inconvenience and perceived risk), pull effects (opportunity for alternatives and ubiquitous care), mooring effects (trust) and inertia significantly influence patients’ switching intentions from visiting hospitals/clinics to e-health consultations. Further, habit and switching cost positively influence inertia.

This study shall enable online health-care service providers and practitioners to understand patients’ intentions to switch to online health platforms and accordingly develop related marketing strategies, services and policies to encourage them to switch to the new offerings.

The current study enriches the previous research on e-health services by applying and extending PPM framework as the base model and showing its efficiency in predicting individuals switching intentions in the context of emerging economies. This study bridges the gap by focusing on switching behavior in context of health services.

The current study aims to map the scientific output of grey literature (GL) through bibliometric approaches.

The source for data extraction is a comprehensive “indexing and abstracting” database, “Web of Science” (WOS). A lexical title search was applied to get the corpus of the study – a total of 4,599 articles were extracted for data analysis and visualisation. Further, the data were analysed by using the data analytical tools, R-studio and VOSViewer.

The findings showed that the “publications” have substantially grown up during the timeline. The most productive phase (2018–2021) resulted in 47% of articles. The prominent sources were PLOS One and NeuroImage. The highest number of papers were contributed by Haddaway and Kumar. The most relevant countries were the USA and UK.

The study is useful for researchers interested in the GL research domain. The study helps to understand the evolution of the GL to provide research support further in this area.

The present study provides a new orientation to the scholarly output of the GL. The study is rigorous and all-inclusive based on analytical operations like the research networks, collaboration and visualisation. To the best of the authors' knowledge, this manuscript is original, and no similar works have been found with the research objectives included here.

The coronavirus-19 (COVID-19) pandemic mobilized the international scientific community in the search for its cure and containment. The purpose of this paper is to examine the nature of the rapid response to the COVID-19 of the scientific community in selected Latin American countries (Argentina, Brazil, Chile, Colombia and Mexico) in the period running from January to August 2020. Rapid response is reconceptualized from its original meaning in health policy, as the swift mobilization of existing scientific resources to address an emergency (DeVita et al., 2017).

The paper explores the rapid response of the Argentinian, Brazilian, Chilean, Colombian and Mexican scientific communities from the perspective of bibliometric and altmetric data. The authors will examine scientific publications indexed to the Web of Science (WoS) dealing with COVID-19. Besides patterns of scientific output and impact as measured by citations, the authors complement the analysis with altmetric analysis. The aim is to verify whether or not factors that explain the extent of scientific impact can also be identified with respect to the wider impact made evident by altmetric indicators (Haustein, 2016).

The authors identified a somewhat limited response of the Argentinian, Brazilian, Chilean, Colombian and Mexican scientific communities to COVID-19 in terms of quantity of publications. The authorship of publications in the topic of COVID-19 was associated with authorship of publications dealing with locally relevant diseases. Some factors appear to contribute to visibility of scientific outputs. Papers that involved wider international collaborations and authors with previous publications in arboviruses were associated with higher levels of citations. Previous work on arbovirus was also associated with higher altmetric attention. The country of origin of authors exerted a positive effect on altmetric indicators.

A limitation in the analysis is that, due to the nature of the data source (WoS), the authors were unable to verify the career status and the productivity of the authors in the sample. Nonetheless, the results appear to suggest that there is some overlapping in authors conducting research in Arboviruses and COVID-19. Career status and productivity should be the focus of future research.

In the context of countries with limited scientific resources, like the ones investigated in our Latin American sample, previous efforts in the study of locally relevant diseases may contribute to the creation of an expertise that can be applied when a health emergency brings about a novel disease.

The originality of the paper rests on the fact that the authors identified that previous work on arbovirus contributed to the scientific visibility of publications on COVID-19.