Thirty Years of Human Rights Study in the Web of Science Database (1990–2020)

Severo, Priscilla Paola; Furstenau, Leonardo Bertolin; Sott, Michele Kremer; Cossul, Danielli; Bender, Mariluza Sott; Bragazzi, Nicola Luigi

doi:10.3390/ijerph18042131

Cited by 13 publications

(5 citation statements)

References 167 publications

(131 reference statements)

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“…In addition, the SciMAT presents a robust preprocessing module, which ensures data quality [ 30 ]. With the support of the SciMAT, we plotted a strategic diagram and the intellectual network structure of the most important themes [ 61 , 62 , 63 ]. In addition, it was possible to generate an evolutionary diagram that presented the most important themes of the field of study distributed over time.…”

Section: Methodsmentioning

confidence: 99%

A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure

Sott

Nascimento

Foguesatto

et al. 2021

Sensors

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The agriculture sector is one of the backbones of many countries’ economies. Its processes have been changing to enable technology adoption to increase productivity, quality, and sustainable development. In this research, we present a scientific mapping of the adoption of precision techniques and breakthrough technologies in agriculture, so-called Digital Agriculture. To do this, we used 4694 documents from the Web of Science database to perform a Bibliometric Performance and Network Analysis of the literature using SciMAT software with the support of the PICOC protocol. Our findings presented 22 strategic themes related to Digital Agriculture, such as Internet of Things (IoT), Unmanned Aerial Vehicles (UAV) and Climate-smart Agriculture (CSA), among others. The thematic network structure of the nine most important clusters (motor themes) was presented and an in-depth discussion was performed. The thematic evolution map provides a broad perspective of how the field has evolved over time from 1994 to 2020. In addition, our results discuss the main challenges and opportunities for research and practice in the field of study. Our findings provide a comprehensive overview of the main themes related to Digital Agriculture. These results show the main subjects analyzed on this topic and provide a basis for insights for future research.

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Section: Methodsmentioning

confidence: 99%

A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure

Sott

Nascimento

Foguesatto

et al. 2021

Sensors

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“…A Bibliometric Performance and Network Analysis (BPNA) supported by the SciMAT software was carried out to identify the strategic themes and the evolution map of the field of study. To achieve our goal, the Web of Science database was used to export related documents, as this indexed database has a large volume of quality research [12,13].…”

Section: Methodsmentioning

confidence: 99%

A Science Mapping Analysis of Sixty-Seven Years of Scientific Evolution about the Transgender Population

Bender¹,

Sott²,

Fernandes³

et al. 2021

Preprint

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Gender and identity issues permeate society as a whole. Therefore, the matters involving transgender individuals should be analised in order to understand the difficulties experienced by this population and the social practices implemented. In this sense, the objective of this study was to investigate the strategic themes and their evolution in relation to the theme. For this, a bibliometric performance and network analysis (BPNA) was carried out with the existing data in the Web of Science database between 1954 and march 2021. Twenty-three thousand and four hundred and seventy-one (23,471) articles were identified, which were included in the SciMAT software to perform a bibliometric analysis, resulting in the graph of the thematic evolution structure and the strategic diagram, in which 8 motor themes and a cross-cutting theme of great magnitude are highlighted, which are discussed in depth. The results show the relation between the transgender theme and gender, identity, sexual orientation, hormone therapy and gender-affirming surgery. It is concluded that, despite the large number of associated researches, some areas of study are still incipient, such as the inclusion of transgender people in the formal labor market and in the prison context, thus opening field for further studies.

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“…To answer the research questions, studies available in the Web of Science (WoS) Core Collection database were used. All indexes were considered such as Social Science Citation Index (SSCI), Science Citation Index Expanded (SCI-E) and others, since WoS is an indexed database with a large volume of quality research (Cobo et al, 2011;Furstenau et al, 2021aFurstenau et al, , 2021Severo et al, 2021;Sott et al, 2020b). In the population phase of the PICOC protocol, the following search string (('data mining' OR 'knowledge-discovery' OR 'estimation' OR 'prediction') AND ('solid waste')) was used to identify the documents associated with the field of study.…”

Section: Picoc Protocolmentioning

confidence: 99%

Data mining and knowledge discovery in databases for urban solid waste management: A scientific literature review

et al. 2021

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The processes related to solid waste management (SWM) are being revised as new technologies emerge and are applied in the area to achieve greater environmental, social and economic sustainability for society. To achieve our goal, two robust review protocols (Population, Intervention, Comparison, Outcome, and Context (PICOC) and Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA)) were used to systematically analyze 62 documents extracted from the Web of Science database to identify the main techniques and tools for Knowledge Discovery in Databases (KDD) and Data Mining (DM) as applied to SWM and explore the technological potential to optimize the stages of collecting and transporting waste. Moreover, it was possible to analyze the main challenges and opportunities of KDD and DM for SWM. The results show that the most used tools for SWM are MATLAB (29.7%) and GIS (13.5%), whereas the most used techniques are Artificial Neural Networks (35.8%), Linear Regression (16.0%) and Support Vector Machine (12.3%). In addition, 15.3% of the studies were conducted with data from China, 11.1% from India and 9.7% of the studies analyzed and compared data from several other countries. Furthermore, the research showed that the main challenges in the field of study are related to the collection and treatment of data, whereas the opportunities appear to be linked mainly to the impact on the pillars of sustainable development. Thus, this study portrays important issues associated with the use of KDD and DM for optimal SWM and has the potential to assist and direct researchers and field professionals in future studies.

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Thirty Years of Human Rights Study in the Web of Science Database (1990–2020)

Cited by 13 publications

References 167 publications

A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure

A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure

A Science Mapping Analysis of Sixty-Seven Years of Scientific Evolution about the Transgender Population

Data mining and knowledge discovery in databases for urban solid waste management: A scientific literature review

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