Knowledge and Information Systems

  in Journal   Posted on September 23, 2020

Journal Ranking & Metrics

G2R Score : 6.93
G2R H-Index : 18
JCR Impact Factor : 2.936
Scopus Citescore : 5.2
SCIMAGO SJR : 0.875
SCIMAGO H-index : 65
Guide2Research Overall Ranking : 86

Journal Information

ISSN : 0219-1377
Publisher :
Periodicity : Monthly
Editors-in-Chief : Xindong Wu
Journal & Submission Website : https://www.springer.com/journal/10115

Top Scientists who published in this Journal

Number of top scientists* : 85
Documents published by top scientists* : 97
* Based on data published during the last three years.

Aims & Scope of the Journal

Knowledge and Information Systems (KAIS) provides an international forum for researchers and professionals to share their knowledge and report new advances on all topics related to knowledge systems and advanced information systems. This monthly peer-reviewed archival journal publishes state-of-the-art research reports on emerging topics in KAIS, reviews of important techniques in related areas, and application papers of interest to a general readership. The journal focuses on knowledge systems and advanced information systems, including their theoretical foundations, infrastructure and enabling technologies. We solicit submissions of original research, and experience and vision papers that address this theme. Suggested topics include, but are not limited to, the following areas:Knowledge and information processing: theory, techniques and systemsknowledge and data engineeringdecision supportactive and dynamic systemsdata sharing and warehousingtemporal and spatial database processingintelligent information retrievallearning and adaptationknowledge discovery and data miningartificial lifemodelling and object orientationsoftware re-engineeringco-operativeness, interoperability and software re-usabilityhuman-computer interactionhypertext, hypermedia and multimediadata and knowledge visualizationUnderlying computational techniquessoft computing (including neural nets, fuzzy logic, probabilistic reasoning, and rough set theory)evolutionary computinghybrid computinguncertainty managementagent architectures and systems (including multi-agent scenarios)Platformshigh performance computing systemsdistributed intelligent systemsmobile systemsApplication to specific problem domainsbiomedical systemsgeographical systemssoftware information systemsemerging applications (such as Internet technologies and digital libraries)We publish critical review papers…