{"title":"An Overview of Publications on Artificial Intelligence Research: A Quantitative Analysis on Recent Papers","authors":"Saiyan Cheng, Bin Wang","doi":"10.1109/CSO.2012.156","DOIUrl":null,"url":null,"abstract":"The study on artificial intelligence (AI) is highly interdisplinary, which involves increasing number of researchers from different academic fields. In order to provide an overview for the researchers on recent publications in related fields, we conducted a statistic analysis using bibliometric methods. Using the data source from Web of Science (ISI), we have studied the articles published in the SCI and SSCI journals on the the subject of AI between the year of 2000 and 2011. The data were analyzed from six aspects, including article distribution by years, journals, languages, countries/regions, research fields, and authors. The result revealed the most influential journals, language and authors in this field, which could help researchers from the related area to find useful in formations and direct their researches.","PeriodicalId":170543,"journal":{"name":"2012 Fifth International Joint Conference on Computational Sciences and Optimization","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fifth International Joint Conference on Computational Sciences and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2012.156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The study on artificial intelligence (AI) is highly interdisplinary, which involves increasing number of researchers from different academic fields. In order to provide an overview for the researchers on recent publications in related fields, we conducted a statistic analysis using bibliometric methods. Using the data source from Web of Science (ISI), we have studied the articles published in the SCI and SSCI journals on the the subject of AI between the year of 2000 and 2011. The data were analyzed from six aspects, including article distribution by years, journals, languages, countries/regions, research fields, and authors. The result revealed the most influential journals, language and authors in this field, which could help researchers from the related area to find useful in formations and direct their researches.