## 2 Methodology
### Scientometric Analysis  
Figure 2b indicates the criteria adopted for the scientometric analysis. Initially, the results provided by the Scopus analyser were used to describe the annual publication trend. Subsequently, the bibliometric data of the 161 articles were downloaded and imported into the VOSviewer. Therefore, the data collection and map generation were performed using the software.  
Initially, the VOSviewer functionality \"Create a map based on bibliographic data\" was selected. The scientific mapping of most relevant journals for the topic was carried out by setting the \"Type of analysis\" and the \"Unit of analysis\" to \"Citation\" and \"Sources\", respectively. Mapping these journals allows the analysis of existing research trends and presents alternatives for researchers. The requirement of a minimum number of publications per journal was 3. As a result, 13 out of 73 journals met the threshold.  
The analysis of the co-occurrence network of keywords was performed by setting the \"Type of Analysis\" to \"Co-occurrence\", the \"Unit of Analysis\" to \"Author Keywords\", and the \"Counting Method\" to \"Fractional Counting\". Keywords reflect the theme of research publications and are necessary for indexing articles in databases [54]. Accordingly, 39 out of 419 keywords were selected, considering terms with at least 3 occurrences.  
To identify most relevant scholars, the \"Type of Analysis\" and \"Unit of Analysis\" were set to \"Co-authorship\" and \"Authors\", respectively. The scientific collaboration networks analysis facilitates access to funds, specialties, and expertise. In addition, it contributes to productivity and prevents investigators from isolation [47]. A search for authors with equivalent names was previously carried out to avoid misinterpretation of data. The minimum number of documents per author was set to 3. Consequently, 28 out of 433 names were identified and 24 authors were selected by analyzing name overlaps.  
The \"Unit of Analysis\" was set to \"Countries\" to identify the most collaborative countries in LBAs research. Determining the most collaborative countries on a research theme facilitates the establishment of new partnerships and joint research funding programs. In addition, it aids in promoting the exchange of technologies and innovation [54]. Publications from 40 countries were identified, mainly from Europe, Asia, and North America. The minimum number of documents and citations per country was set to 3 and 10, respectively. Therefrom, 15 countries met the thresholds.  
Finally, the VOSviewer functionalities \"Create a map based on text data\" and \"Read data from bibliographic database files\" were selected. The terms were extracted from \"Titles and Abstract Fields\" to identify most relevant terms in LBAs research. Subsequently, the \"Counting Method\" was set to \"Binary Counting\" and the minimum number of occurrences of each term was set to 10. The analysis of most relevant terms provides a more comprehensive approach to scientific publications and complements the evaluation of the co-occurrence network of keywords. As a result, 56 out of 3509 terms met all the restrictions.