计算机科学各个方向有哪些顶刊和顶会？
关注者
837被浏览
514,089登录后你可以
不限量看优质回答私信答主深度交流精彩内容一键收藏
公众号同名，内容更新更全(投稿交流群+会议截稿+期刊专刊)
感觉CCF的分级应该是国内最认可的评价标准了，里面包括了顶会和顶刊，有的人也关注中科院的分区，具体可以参考：
国际上的评价主要是Core ranking，是澳大利亚的一个机构做的，具体可以参考：
关注顶会顶刊也是很好的习惯，下面以人工智能领域为例，给出近期截稿的顶会信息：
| KSEM |
| 会议全称：International conference on Knowledge Science, Engineering and Management会议网址：http://www.cloud-conf.net/ksem21/ 会议地点：Tokyo, JapanCCF分类：C 类Core分类：B 类H5指数：NA录取率：KSEM’20 29.2% (85/291) |
| IMPORTANT DATES:Paper submission: March 15, 2021Author notification: June 1, 2021Camera-Ready: June 20, 2021Registration: June 20, 2021Conference date: August 14-16, 2021 |
| SPECIFIC AREAS OF INTEREST:Knowledge Science• Knowledge representation and reasoning• Logics of knowledge; formal analysis of knowledge; reasoning about knowledge• Knowledge complexity and knowledge metrics• Common sense knowledge; non-monotonic reasoning• Uncertainty in knowledge (randomness, fuzziness, roughness, vagueness)• Machine learning• Formal ontologies• Integration of machine learning and knowledge representation• Reasoning about knowledge in the presence of inconsistency, incompleteness and context-dependency• Belief revision and updates• Cognitive foundations of knowledge• Knowledge in complex systems (e.g. economical and quantum systems)• Game-theoretical aspects of knowledge; knowledge in multi-agent systemsKnowledge Engineering• Knowledge extraction from texts/big data/Web• Knowledge discovery from very large databases• Knowledge integration• Knowledge-based software engineering• Knowledge-based systems in life sciences• Conceptual modelling in knowledge-based systems• Semantic database systems• Semantic Web: Content and ontological engineering• Knowledge engineering applicationsKnowledge Management• Knowledge creation and acquisition• Knowledge verification and validation• Knowledge dissemination• Knowledge management systems• Knowledge and data integration• Knowledge adaptation• Knowledge management best practices and applicationsKnowledge Graphs• Probabilistic Knowledge Graphs• Knowledge graph construction• Knowledge graph query• Knowledge graph storage, query and management• Learning on knowledge graphs• Knowledge graph embedding• Knowledge graph completion |
其他领域的会议类似～