<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>NoSQL is one of the technical trends that rises in this context in the Web 2.0 Era. With the aim to explore the research status and development trends related to NoSQL technology, articles between 1998 and 2016 were collected from Thomson ISI’s SCI. After the analysis by using CiteSpace V, the pivotal documents related to NoSQL, as well as institutions, co-citation patterns, research hotspots and frontiers, etc., were visualized and identified.</p>
</abstract>

NoSQL is one of the technical trends that rises in this context in the Web 2.0 Era. With the aim to explore the research status and development trends related to NoSQL technology, articles between 1998 and 2016 were collected from Thomson ISI’s SCI. After the analysis by using CiteSpace V, the pivotal documents related to NoSQL, as well as institutions, co-citation patterns, research hotspots and frontiers, etc., were visualized and identified.

Visualization Analysis of NoSQL Research Field Based on SCI by CiteSpace V

South China University of Technology Zhuhai

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Visualization Analysis of NoSQL Research Field Based on SCI by CiteSpace V"}

NoSQL is one of the technical trends that rises in this context in the Web 2.0 Era. With the aim to explore the research status and development trends related...

Visualization Analysis of NoSQL Research Field Based on SCI by CiteSpace V

Online veröffentlicht: 12. Apr. 2018

Seitenbereich: 129 - 134

DOI: https://doi.org/10.21307/ijanmc-2017-039

Schlüsselwörter
NoSQL, Visual analysis, CiteSpace, SCI-E, Database

© 2017 Ming He Ying Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Visualization Analysis of NoSQL Research Field Based on SCI by CiteSpace V

Online veröffentlicht: 12. Apr. 2018

Seitenbereich: 129 - 134

DOI: https://doi.org/10.21307/ijanmc-2017-039

SchlüsselwörterNoSQL, Visual analysis, CiteSpace, SCI-E, Database

© 2017 Ming He Ying Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
NoSQL, Visual analysis, CiteSpace, SCI-E, Database