Impact Score 14.36
IEEE Transactions on Knowledge and Data Engineering grants a site for the publication of new research findings in the quickly developing fields of General Computer Science and Machine Learning & Artificial intelligence . IEEE Transactions on Knowledge and Data Engineering features unique scholarly documents which undergo peer review by experts in the given subject area. The journal encourages submissions from the research community where attention will be on the novelty and the practical importance of the published findings.
IEEE Transactions on Knowledge and Data Engineering is indexed at Guide2Research, Web of Science and Scopus. There are a number of leading scientists who published in this journal such as Feiping Nie, Lei Chen, Philip S. Yu and Xiaofang Zhou
For extra information on the guidelines and submission requirements for authors, it is recommended to visit the official website for the journal for IEEE Transactions on Knowledge and Data Engineering at https://www.computer.org/web/tkde .