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The purpose of this study was to compare the evolution of the scientific production of Costa Rica and Panama, from Central America and Paraguay and Uruguay, from South America in the period 2000–2018. To achieve this, first, a bibliometric mapping was performed using the Web of Science (WoS) database. Second, the triple helix model was used to determine whether there are similar patterns or marked differences in the distribution of this type of publications in the helices of government, academia and industry.

The steps followed in this study were as follows: design and application of an algorithm to perform WoS downloads; download the publications using the country descriptor; process data using R and VOSviewer; design of a profile of the selected countries based on indicators; and use of the triple helix model to determine the weight of the scientific production.

The data found corroborate that the small technoscientific worlds examined do not have the minimum Science & Technology personnel nor the capabilities in infrastructure and technological equipment, and that expenditure in this area is minimal and for these reasons, the production in the WoS is low.

Studying the small technoscientific worlds from a bibliometric perspective allows generating inputs to diagnose the state of these countries in this area, as no evidence of similar studies in these countries was found in Scopus or the WoS. Likewise, examining scientific production from the triple helix model makes it possible to identify the weaknesses of each actor, and the results can contribute to the design of better public policies.

The purpose of this study focused on a global longitudinal bibliometric mapping of research in the field of health biotechnology between 1990 and 2023 to determine who is leading this field of knowledge and to estimate the sub-disciplines that are emerging and project those that will prevail in the future.

The study identified the most relevant countries, institutions and researchers, as well as the type of scientific collaborations. The applied steps applied in the study were the following: identification and selection of keyword terms by a panel of experts; design and application of an algorithm to identify these selected keywords in titles, abstracts and keywords using Web of Science terms to contrast them; performance of JCR data processing during 2023 using R, Python and VOSviewer.

Among the most relevant conclusions of the study are the following exponential growth has been observed in the study period; new branches of knowledge have emerged in which the subjects have been acquiring their own autonomous capabilities; and R&D in this field is still concentrated in a small group of core countries, and the trend is for it to remain so due to the capacity needs required.

This contribution seeks to systematize the existing scientific knowledge in the field of biotechnology, specifically in the area of health, using the technique of scientific mapping based on a logical model of indicators that aims to determine potential thematic ramifications.

The purpose of this study is to analyze the technological change under development linked to the convergence of the Internet of Things (IoT) and digital transformation (DT) from the perspective of a scientific mapping in a context marked by the occurrence of an unexpected event that accelerated this process such as the SARS-CoV-2 pandemic and its variants.

The study was developed under the longitudinal scientific mapping approach and considered the period 1990–2021 using as a basis the descriptors DT and IoT. The steps followed were identification and selection of keywords; design and application of an algorithm to identify these selected keywords in titles, abstracts and keywords using terms in Web of Science (WoS) to contrast them; and performing a data processing based on the journals in the Journal Citation Report during 2022. The longitudinal study uses scientific mapping to analyze the evolution of the scientific literature that seeks to understand the acceleration in the integration of technology and its impact on the human factor, processes and organizational culture.

This study showed that the technologies converging around IoT form the basis of the main DT processes being experienced on a global scale; furthermore, it was shown that the pandemic accelerated the convergence and application of new technologies to support the major changes required for a world with new needs. Finally, China and the USA differ significantly in the production of scientific knowledge with respect to the first eight followers.

The knowledge gap addressed by this study is to identify the production of scientific knowledge related to IoT and its impact on DT processes at the scale of individuals, organizations and the new way of delivering value to society. This knowledge about researchers, institutions, countries and the derivation is multiple indicators allows improving decision-making at multiple scales on these issues.

The multidimensional complexity of urban settlements is increasing and the problem of spaces and territories brought to the scale of smart cities is a critical global issue. This study aims to analyse the scientific production in the Web of Science (WoS) on the relationship between smart cities and the eight urban dimensions defined by the World Economic Forum (WEF) in the period 1990 to 2021, in order to establish which countries lead the knowledge related to the search for sustainable living conditions for people and how this knowledge contributes to improving stakeholders' decision-making.

The methodological steps followed in the study were: (1) Identification and selection of keywords. (2) Design and application of an algorithm to identify these selected keywords in titles, abstracts and keywords using WoS terms to contrast them. (3) Data processing was performed from Journal Citation Report (JCR) journals during the year 2022.

This study identified the authors, institutions and countries that publish the most globally on the topic of Smart Cities. The acceleration in the integration of new technologies and their impact on population conglomerates and their relationship with urban dimensions were also analysed. The evidence found indicates that the USA and China are leading in this field.

This bibliometric study was designed to analyse a knowledge space not addressed in the scientific literature referred to the relationship between the concept of smart cities and the urban dimensions established by the WEF, the identification of new technologies that are converging to promote developments of new ways of managing urban dimensions and propose new knowledge spaces.

This chapter analyzes spatio-temporal patterns of female homicides in Mexico during the period 1990 to 2018. It analyzes socio-demographic and geographical characteristics of female homicides from which it is possible to apply statistical methods that identify regions with high incidence rates that persist over time. It is also discussed the growing participation of civil society organizations (CSOs) and its role on establishing accountability mechanisms and the developments of public policy programs in light of the poor institutional capacity of the Mexican state to address this problem. The findings here described suggest a demographic and geographic spread of female homicides – that is, the phenomenon of violence against women has reached more significant socio-demographic segments whose incidence covers a greater territorial extension. Furthermore, it is argued that despite the strategies implemented by the federal and local government on addressing the problem, the results are far from being acceptable. As argued, this calls for a nationwide initiative, the involvement of international agencies, and the consolidation of women’s empowerment though participatory mechanisms in all aspects of public life.