《信息科学杂志》(Journal Of Information Science)是一本以工程技术-计算机:信息系统综合研究为特色的国际期刊。该刊由SAGE Publications Ltd出版商创刊于1979年,刊期Bimonthly。该刊已被国际重要权威数据库SCIE、SSCI收录。期刊聚焦工程技术-计算机:信息系统领域的重点研究和前沿进展,及时刊载和报道该领域的研究成果,致力...
EI索引情况 否 期刊简介 Journal of Information Science(JIS)杂志是一份具有较高声誉的同行评议的国际期刊,涵盖了所有在信息和知识管理科学领域研究和工作的人感兴趣的主题。编辑们欢迎有关信息科学理论、政策、应用或实践的任何方面的材料,以促进该领域的思考。
Brazilian Journal of Information Science Vol. 4, No 1 (2010) Archive Thematic: Study of Publications in Journal of Information Science No | | PBCIB - 《Pbcib》 被引量: 0发表: 2012年 A Bibliometric Analysis on the Journal of Information Science The purpose of this study is to explore the...
Journal Of Information Science(信息科学杂志)创刊于1979年,由SAGE Publications Ltd出版商出版,收稿方向涵盖工程技术 - 计算机:信息系统全领域,此期刊水平偏中等,影响力一般,还是可以关注。平均审稿速度 约3.0个月 ,影响因子指数1.8,该期刊近期没有被列入国际期刊
JOURNAL OF INFORMATION SCIENCE《信息科学杂志》 (官网投稿) 简介 期刊简称J INF SCI 参考译名《信息科学杂志》 核心类别 高质量科技期刊(T2), SSCI(2024版), SCIE(2024版), 目次收录(维普),外文期刊, IF影响因子 自引率 主要研究方向工程技术-计算机:信息系统;INFORMATION SCIENCE & LIBRARY SCIENCE 情报学...
The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field. Material on all aspects of information science will be considered for publication including: • information processing and management • information flow ...
期刊名称:《American Journal of Information Science and Technology》|2018年第2期 4.Development of New Indicators for the Launch of Japan Agency for Medical Research and Development (AMED)-Trend Analysis for US NIH Funding 机译:为日本医学研究与发展局(AMED)的启动制定新指标-美国NIH资助趋势分析 ...
Journal of Information Science and EngineeringEIAJSCIE中科院4区JCR:Q4 发文量2,526 被引量2,352 影响因子(2023)0.654 The Journal of Information Science and Engineering is dedicated to the dissemination of information on computer science, computer engineering, and computer systems. This journal encourages...
In this study, the category of Information Science and Library Science (IS-LS) is reclassified according to editorship information covering research interests, research experience, professional identity, and affiliated departments. Unlike earlier studies using interlocking editorship data, this study ...
The theory of rough sets serves as an easy-to-understand framework for data/information/knowledge representation and exploration. A number of rough set methods and algorithms have been designed with an emphasis on learning interpretable and … Submission deadline: 30 September 2024 Explainable Artificia...