一种考查高被引论文的h型指数  

A Hirsch-type Index to Lay Particular Emphasis on Highly Cited Papers

作　　者：房威[1] 朱安[1] 张镅[2] 

机构地区：[1]<安徽农业科学>编辑部,安徽合肥230031 [2]<合肥工业大学学报>编辑部,安徽合肥230009

出　　处：《情报科学》2012年第1期72-76,共5页Information Science

摘　　要：从h指数和整数分割思路出发,构建"线性增长"赋分模型,在此基础上提出了一种具有高被引指向性的h型指数--hl-g,并通过与hT、hm的比较,得出hl-g更加切合实际、更加完善的结论。以8种综合性农业核心期刊的hl-g比较和分析为例,阐述了hl-g在期刊评价中具有着重考查高被引区域表现和完整反映被引频次分布情况两大优势。据此推测,hl-g可作为期刊评价赋分指标,弥补现行期刊评价方法在这两方面的不足。A＂linear-growth＂model was formed from the perspectives of h-index and integer partition, and on the basis of which a Hirsch-type index with highly cited emphatic attribute was presented, that is, h1_g. By comparing with hr and hm, hl_g was proved to be a more practical and improved index.Take the h1_g comparison and analysis of 8 comprehensive agricultural core journals for example, two advantages of h1-g in journal evaluation were elaborated.One is its emphasis on the performance of journals in highly cited area, the other is its complete reflection on citation frequency distribution.Therefore, h1-g earl be a new assigned index in journal evaluation and make up the deficiencies of present journal evaluation methods in such two aspects.

关 键 词：hl-g H型指数 期刊评价 高被引指向性 被引频次分布 

分 类 号：G350[文化科学—情报学]