IEEE Transactions on Knowledge and Data Engineering Impact Factor, Indexing, Ranking

IEEE Transactions on Knowledge and Data Engineering (ITKDE) is a scholarly journal dedicated to publishing research in the field of Computer Science. Institute of Electrical and Electronics Engineers is the publisher of this esteemed journal. The P-ISSN assigned to IEEE Transactions on Knowledge and Data Engineering is 1041-4347 and its abbreviated form is IEEE Trans Knowl Data Eng.

The scope of the IEEE Transactions on Knowledge and Data Engineering includes the knowledge and data engineering aspects of computer science, artificial intelligence, electrical engineering, computer engineering, and other appropriate fields. This Transactions provides an international and interdisciplinary forum to communicate results of new developments in knowledge and data engineering and the feasibility studies of these ideas in hardware and software. Specific areas to be covered are as follows: Fields and Areas of Knowledge and Data Engineering: (a) Knowledge and data engineering aspects of knowledge-based and expert systems, (b) Artificial Intelligence techniques relating to knowledge and data management, (c) Knowledge and data engineering tools and techniques, (d) Distributed knowledge base and database processing, (e) Real-time knowledge bases and databases, (f) Architectures for knowledge and data based systems, (g) Data management methodologies, (h) Database design and modeling, (i) Query, design, and implementation languages, (j) Integrity, security, and fault tolerance, (k) Distributed database control, (l) Statistical databases, (m) System integration and modeling of these systems, (n) Algorithms for these systems, (o) Performance evaluation of these algorithms, (p) Data communications aspects of these systems, (q) Applications of these systems.

Abbreviation : ISO Journal abbreviation refers to the shortened form or acronym used to represent the full title of a scholarly journal. The ISO4 Abbreviation of IEEE Transactions on Knowledge and Data Engineering Journal is IEEE Trans Knowl Data Eng.

The Ranking of the Journal in 2024 is 1001. Ranking systems aim to provide an indication of a journal's quality, influence, and prestige within a specific field or discipline.

The Journal's Impact Factor in 2024 is 8.9. it is all calculated by Clarivate, which means how many times a particular citation has been published in the past two years.

List of All Journal Impact Factors

The Journal SCImago in 2024 is 2.358. It is measured by the number of citations which are made by the particular journals, and the journal from where the citations arrived from.

The Journal's H-Index in 2024 is 190. The H-index is calculated on how many times a particular author is cited and the number of published papers that a particular author has.

The Journal's Quartile is Q1. A quartile has three points, which are the upper quartile, median, and lower quartile. The main motive of the quartile is to calculate the interquartile range, that resembles the changes across the median.

The Journal is indexed in (Indexing details)

• 1. Web of Science
• 2. UGC
• 3. Scopus
• 4. ProQuest
• 5. Google Scholar

Indexing services aim to make it easier for researchers, scholars, and readers to discover and access articles from various journals within a specific field or discipline.

The Editor-in-chief of the Journal is Lei Chen

Processing/Submission Fee : Article submission/Processing fees (APC), also known as manuscript Publication fees or processing fees (APC), are charged by journals to authors for submitting/publishing their research papers/article.

The APC/Submission (Publication) Fee of the Journal is $2,345

Call for paper : The Journal invites original research contributions for consideration of publication in IEEE Transactions on Knowledge and Data Engineering journal.

Journal seeking submissions in the broad areas of Computer Science that align with journal's focus on Computer Science.

for details about call for paper please visit to the official website of the journal to check the details about call for papers.

Publishing in IEEE Transactions on Knowledge and Data Engineering involves the following steps:

• Research: Conduct high-quality, impactful research in the field of Computer Science.
• Familiarize Yourself: Read and understand the aims and scope of IEEE Transactions on Knowledge and Data Engineering to ensure your work aligns with their focus.
• Manuscript Preparation: Prepare your manuscript according to the IEEE Transactions on Knowledge and Data Engineering guidelines, including formatting, length, and referencing style.
• Submission: Submit your manuscript through the journal's online submission system.

• Journal Website
• PubMed
• Scopus
• SCImago