2021年最新SCI期刊影响因子查询系统
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS 期刊详细信息
基本信息
期刊名称 | JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS |
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期刊ISSN | 0921-0296 |
期刊官方网站 | http://www.springer.com/computer/database+management+%26+information+retrieval/journal/10844 |
是否OA | 否 |
出版商 | Springer Netherlands |
出版周期 | Bimonthly |
始发年份 | 1992 |
年文章数 | 50 |
最新影响因子 | 3.129(2021) |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
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工程技术4区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能4区 | 否 | 否 |
COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机:信息系统4区 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
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学科 | 排名 | 百分位 | 1.78 | 0.416 | 1.088 |
Computer Science Hardware and Architecture |
70 / 152 | 53% |
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Computer Science Artificial Intelligence |
85 / 189 | 55% |
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Computer Science Computer Networks and Communications |
116 / 274 | 57% |
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Computer Science Information Systems |
127 / 269 | 52% |
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Computer Science Software |
181 / 360 | 49% |
补充信息
自引率 | 9.30% |
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H-index | 45 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | Submission to first decision 117 days |
网友分享审稿时间 | 数据统计中,敬请期待。 |
PubMed Central (PML) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0925-9902%5BISSN%5D |
投稿指南
期刊投稿网址 | https://www.editorialmanager.com/jiis/default.aspx |
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收稿范围 | The mission of the Journal of Intelligent Information Systems: Integrating Artifical Intelligence and Database Technologies is to foster and present research and development results focused on the integration of artificial intelligence and database technologies to create next generation information systems - Intelligent Information Systems. These new information systems embody knowledge that allows them to exhibit intelligent behavior, cooperate with users and other systems in problem solving, discovery, access, retrieval and manipulation of a wide variety of multimedia data and knowledge, and reason under uncertainty. Increasingly, knowledge-directed inference processes are being used to: discover knowledge from large data collections, provide cooperative support to users in complex query formulation and refinement, access, retrieve, store and manage large collections of multimedia data and knowledge, integrate information from multiple heterogeneous data and knowledge sources, and reason about information under uncertain conditions. Multimedia and hypermedia information systems now operate on a global scale over the Internet, and new tools and techniques are needed to manage these dynamic and evolving information spaces. The Journal of Intelligent Information Systems provides a forum wherein academics, researchers and practitioners may publish high-quality, original and state-of-the-art papers describing theoretical aspects, systems architectures, analysis and design tools and techniques, and implementation experiences in intelligent information systems. The categories of papers published by JIIS include: research papers, invited papters, meetings, workshop and conference annoucements and reports, survey and tutorial articles, and book reviews. Short articles describing open problems or their solutions are also welcome. Topics of Interest: Topics of interest to JIIS include, but are not limited to: Foundations and principles of data, information, and knowledge models, Methodologies for IIS analysis, design, implementation, validation, maintenance and evolution, User models, intelligent and cooperative query languages and interfaces, Knowledge representation, integration, fusion, interchange and evolution, Intelligent information retrieval, digital libraries, and networked information retrieval, Distributed multimedia and hypermedia information space design, implementation and navigation, Visual interfaces, visual query languages, and visual expressiveness of IIS, Machine learning, knowledge discovery, and data mining, Uncertainty management and reasoning under uncertainty, Applications and case studies in novel applications (e.g., global change, scientific databases, Human Genome project, Earth Observing System, manufacturing, telemedicine, education, etc.) We seek papers that improve on the best academic research or the best industrial practice. Submitted papers should be motivated by the problems they address with compelling examples from real or potential applications. Systems papers must contain interpreted experimentation results either on real systems or simulations based on representative traces from real systems. Papers from industrial organizations that discuss implementation of systems and their use in practice are welcome. Proposals for special issues, especially on emerging topics, are also welcome. Authors can expect a first decision response in three months from their manuscript's submission date. |
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