کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4968126 1365184 2017 8 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله ISI
Bibliometric author evaluation through linear regression on the coauthor network
ترجمه فارسی عنوان
ارزیابی نویسنده کتابشناختی از طریق رگرسیون خطی بر روی شبکه همکار
کلمات کلیدی
نویسنده چندگانه؛ روش آماری؛ مشارکت همکار؛
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


- A method to disentangle statistically authorship contributions to a body of coauthored works.
- Only small deviations from fractional citation counts observed.
- No assumptions about the shape of the citation distribution.

The rising trend of coauthored academic works obscures the credit assignment that is the basis for decisions of funding and career advancements. In this paper, a simple model based on the assumption of an unvarying “author ability” is introduced. With this assumption, the weight of author contributions to a body of coauthored work can be statistically estimated. The method is tested on a set of some more than five-hundred authors in a coauthor network from the CiteSeerX database. The ranking obtained agrees fairly well with that given by total fractional citation counts for an author, but noticeable differences exist.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Informetrics - Volume 11, Issue 1, February 2017, Pages 299-306
نویسندگان
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