It is undoubtedly of great impression how some of the areas of evolving Computational Sciences, such as Machine Learning and the great and vast nanotechnology domain, can contribute to all-world research. Some examples are nanotoxicology in medicine and food regulation, using predictive models to study the biological activity of nanomaterials, characterization of nanoparticles, and against COVID-19, with the development of vaccines and nanosensors. The relationship between nanotechnology and machine learning was investigated through bibliometric analysis using articles registered in the Scopus database. The keywords "Machine Learning" and "Nanotechnology" were searched in the Scopus database to develop this work. Two hundred sixty-seven scientific articles were gathered using the number of publications per year, area of knowledge, and countries as search criterions. Then, the titles and abstracts of these papers were stored in Research Information Systems (RIS) format and went through automatic analysis by the software "Visualization Of Similarities Method" (VOS viewer) version 1.6.18., which gave us a notion of link strength produced by their intercorrelation network with maps of Clusters, which was followed by a numerical criterion. Due to the limitation of VOSViewer to integrate and process the data in tables, tree maps, or graphics, Python can import and filter the data. So, it is possible to create new forms of visualizing data and the relationship between them using Python software. The trendline that describes the volume of publications as a function of the year assumes a third-order polynomial behavior, with R²=0.9716. Furthermore, the present work inferred the ten countries with the highest volume of publications that intersect the two areas between researched years. The United States, China, and the United Kingdom lead the volume of publications, with a significant difference between the amount of US publications and the subsequent ones.
Nanotoxicology emerged from the need to understand the impact of nanomaterials on human and environmental health in a safe way. Currently, there are many literature data that can be processed using Data Science, including Data Mining Objective: Compare data obtained from Scopus Database (Elsevier) and PubMed in the period 2017-2022 to obtain bibliometric maps via VOSviewer Software. Methods: Search for articles with the term "nanotoxicology" in Scopus and Pubmed indexing sources and obtain articles in RIS format for processing via VOSViewer; reference the generation of VOSviewer clusters and nodes; Results: 1624 articles were obtained from the Scopus database and 1247 documents from the Pubmed database. The keywords with the most occurrences were "nanotoxicology", "nanoparticles", "human" and "animals.
Conclusion:VOSviewer is a software that allows data collection and an integrative visualization of keywords and their occurrences.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.