Laura Alcaide-Muñoz, M. Bolívar, M. Cobo, E. Herrera-Viedma
{"title":"Science Mapping Tools: their application to e-Government field","authors":"Laura Alcaide-Muñoz, M. Bolívar, M. Cobo, E. Herrera-Viedma","doi":"10.1145/2912160.2912172","DOIUrl":null,"url":null,"abstract":"This study presents an approach to analyze the thematic evolution of e-Government field. We combine different bibliometric tools to analyze the evolution of the cognitive structure of this research topic, allowing us to discover important knowledge related to its themes and thematic areas. Also, we are able to identify thematic areas and show their evolutionary behavior, supported by different visualization tools to understand their evolution, importance and likely future tendencies. These findings are a contribution in e-Government field, detecting the most prominent productive and highest-impact subfields, offering symptoms of field in constant evolution.","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2912160.2912172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This study presents an approach to analyze the thematic evolution of e-Government field. We combine different bibliometric tools to analyze the evolution of the cognitive structure of this research topic, allowing us to discover important knowledge related to its themes and thematic areas. Also, we are able to identify thematic areas and show their evolutionary behavior, supported by different visualization tools to understand their evolution, importance and likely future tendencies. These findings are a contribution in e-Government field, detecting the most prominent productive and highest-impact subfields, offering symptoms of field in constant evolution.
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