Automated Author ProfileRoniberto Morato Do Amaral
Roniberto Morato Do Amaral
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.6 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract Purpose: The purpose of this study was to analyze the network structure of automotive companies linked by cross-shareholding, joint ventures, manufacturing contracts and alliances, from 2004 to 2012. The study also explored how the network structure affects the competition in the field. Design/methodology/approach: The sample involved 3695 dyads. Based on this data, it was possible to build and assess networks using Gephi and UCINET software. The study considered network analysis metrics such as centrality, group and network densities temporally. Thus, associated with a contextual and longitudinal analysis, the construction of sociograms allowed visualization of the interactional structure and the automakers’ position in the field. Findings: Results showed that the internationalization and growth of automakers and suppliers are made possible through these relationships among companies (cross-shareholding, joint ventures, manufacturing contracts and alliances). Connections may generate greater power, access to resources and market opportunities. It also enhanced the elaboration of inferences about how these resources influence the competition in the field. Originality/value: The increasing importance of this relational resource shapes the industry competitive structure, which is composed of cooperative and competitive relationships found in meso-level orders.
Authors
- Neto, Mário Sacomano ;
- Matui, Paulo César ;
- Candido, Silvio Eduardo Alvarez ;
- Roniberto Morato Do Amaral
Abstract Purpose: The purpose of this study was to analyze the network structure of automotive companies linked by cross-shareholding, joint ventures, manufacturing contracts and alliances, from 2004 to 2012. The study also explored how the network structure affects the competition in the field. Design/methodology/approach: The sample involved 3695 dyads. Based on this data, it was possible to build and assess networks using Gephi and UCINET software. The study considered network analysis metrics such as centrality, group and network densities temporally. Thus, associated with a contextual and longitudinal analysis, the construction of sociograms allowed visualization of the interactional structure and the automakers’ position in the field. Findings: Results showed that the internationalization and growth of automakers and suppliers are made possible through these relationships among companies (cross-shareholding, joint ventures, manufacturing contracts and alliances). Connections may generate greater power, access to resources and market opportunities. It also enhanced the elaboration of inferences about how these resources influence the competition in the field. Originality/value: The increasing importance of this relational resource shapes the industry competitive structure, which is composed of cooperative and competitive relationships found in meso-level orders.
Authors
- Neto, Mário Sacomano ;
- Matui, Paulo César ;
- Candido, Silvio Eduardo Alvarez ;
- Roniberto Morato Do Amaral
In order to contribute to the study of use and users of electronic library resources and to support higher rational and sustainable decisions regarding the maintenance of the library collection, the aim of this study was to develop a set of indicators on the use of the library collection by means of bibliometric and social network analyses. The research method was a case study and the single unit assessed was the Community Library of the Universidade Federal de São Carlos, located in São Carlos, São Paulo. The data sample consisted of 119,720 records of book circulation (loan, renewal and booking) from 2011. The indicators of the community use of the library collection were developed and the VantagePoint(r) software was used to evaluate them. Based on the results obtained, it can be stated that the use of bibliometrics and network analysis for conducting studies of uses, as predicted in the studies of uses and users, were effective to automatically establish indicators for the user profile and use of the collection without direct contact with users.
Authors
- Ninin, Débora Marroco ;
- Roniberto Morato Do Amaral ;
- Milanez, Douglas Henrique ;
- Faria, Leandro Innocentini Lopes De
In order to contribute to the study of use and users of electronic library resources and to support higher rational and sustainable decisions regarding the maintenance of the library collection, the aim of this study was to develop a set of indicators on the use of the library collection by means of bibliometric and social network analyses. The research method was a case study and the single unit assessed was the Community Library of the Universidade Federal de São Carlos, located in São Carlos, São Paulo. The data sample consisted of 119,720 records of book circulation (loan, renewal and booking) from 2011. The indicators of the community use of the library collection were developed and the VantagePoint(r) software was used to evaluate them. Based on the results obtained, it can be stated that the use of bibliometrics and network analysis for conducting studies of uses, as predicted in the studies of uses and users, were effective to automatically establish indicators for the user profile and use of the collection without direct contact with users.
Authors
- Ninin, Débora Marroco ;
- Roniberto Morato Do Amaral ;
- Milanez, Douglas Henrique ;
- Faria, Leandro Innocentini Lopes De