{"title":"机构的生产和科学合作分析:以墨西哥国立自治大学应用数学和系统研究所(IIMAS)为例","authors":"A. León","doi":"10.5565/REV/REDES.755","DOIUrl":null,"url":null,"abstract":"A bibliometric profile of scientific production on Computer Science (CS) of the Instituto de Investigaciones en Matematicas Aplicadas y en Sistemas (IIMAS) is presented using information of Web of Science database (WoS), covering the span 1980 to 2016. The profile includes total publication, total cites, journals by publication frequency, highly cited documents, impact factor, as well as bibliometric networks considering institutions, coauthors, and WoS categories. Using the Web of Science classification allowed to see that Artificial Intelligence was the category whith higher frecuency, while Theory & Methods had more cites per document. From the 1373 documents included in this analysis, 30 percent were the result of international collaboration.","PeriodicalId":40423,"journal":{"name":"Redes de Ingenieria-Rompiendo las Barreras del Conocimiento","volume":"64 1","pages":"1-19"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Análisis de la producción y colaboración científica de Instituciones: el caso del Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) de la Universidad Nacional Autónoma de México (UNAM)\",\"authors\":\"A. León\",\"doi\":\"10.5565/REV/REDES.755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A bibliometric profile of scientific production on Computer Science (CS) of the Instituto de Investigaciones en Matematicas Aplicadas y en Sistemas (IIMAS) is presented using information of Web of Science database (WoS), covering the span 1980 to 2016. The profile includes total publication, total cites, journals by publication frequency, highly cited documents, impact factor, as well as bibliometric networks considering institutions, coauthors, and WoS categories. Using the Web of Science classification allowed to see that Artificial Intelligence was the category whith higher frecuency, while Theory & Methods had more cites per document. From the 1373 documents included in this analysis, 30 percent were the result of international collaboration.\",\"PeriodicalId\":40423,\"journal\":{\"name\":\"Redes de Ingenieria-Rompiendo las Barreras del Conocimiento\",\"volume\":\"64 1\",\"pages\":\"1-19\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Redes de Ingenieria-Rompiendo las Barreras del Conocimiento\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5565/REV/REDES.755\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Redes de Ingenieria-Rompiendo las Barreras del Conocimiento","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5565/REV/REDES.755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
利用Web of Science数据库(WoS)的信息,对法国数学应用系统研究所(IIMAS)计算机科学领域的科研成果进行了文献计量分析,时间跨度为1980年至2016年。该概况包括总发表量、总引用量、按出版频率排列的期刊、高被引文献、影响因子,以及考虑机构、合著者和WoS类别的文献计量网络。使用Web of Science分类可以看到,人工智能是频率更高的类别,而理论与方法每篇论文被引用的次数更多。在这份分析中包含的1373份文件中,30%是国际合作的结果。
Análisis de la producción y colaboración científica de Instituciones: el caso del Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) de la Universidad Nacional Autónoma de México (UNAM)
A bibliometric profile of scientific production on Computer Science (CS) of the Instituto de Investigaciones en Matematicas Aplicadas y en Sistemas (IIMAS) is presented using information of Web of Science database (WoS), covering the span 1980 to 2016. The profile includes total publication, total cites, journals by publication frequency, highly cited documents, impact factor, as well as bibliometric networks considering institutions, coauthors, and WoS categories. Using the Web of Science classification allowed to see that Artificial Intelligence was the category whith higher frecuency, while Theory & Methods had more cites per document. From the 1373 documents included in this analysis, 30 percent were the result of international collaboration.