{"title":"Geographical distribution of high-novelty research","authors":"Kuniko Matsumoto","doi":"10.55835/643b16770dbbd7f8a6d7c898","DOIUrl":null,"url":null,"abstract":"In this study, trial analyses using bibliometric approaches were performed to investigate the geographical distribution of high-novelty research. Data on approximately 2.55 million academic papers published in 2021 were examined as a pilot to show worldwide statistical data on novelty research. A combinatorial novelty indicator measuring units comprising paired reference papers was adopted in the analyses. This study shows the main three results: the top 20 countries/regions in the top 10% of high-novelty papers, the share of the top 10% high-novelty papers in each country/region, and the share of the top 10% high-novelty papers by field in China and the United States, which contribute globally to the top 10% of high-novelty papers.","PeriodicalId":334841,"journal":{"name":"27th International Conference on Science, Technology and Innovation Indicators (STI 2023)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"27th International Conference on Science, Technology and Innovation Indicators (STI 2023)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55835/643b16770dbbd7f8a6d7c898","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, trial analyses using bibliometric approaches were performed to investigate the geographical distribution of high-novelty research. Data on approximately 2.55 million academic papers published in 2021 were examined as a pilot to show worldwide statistical data on novelty research. A combinatorial novelty indicator measuring units comprising paired reference papers was adopted in the analyses. This study shows the main three results: the top 20 countries/regions in the top 10% of high-novelty papers, the share of the top 10% high-novelty papers in each country/region, and the share of the top 10% high-novelty papers by field in China and the United States, which contribute globally to the top 10% of high-novelty papers.