•  
  •  
 

About This Journal

Knowledge Engineering and Data Science (KEDS), brings together researchers, industry practitioners, and potential users, to promote collaborations, exchange ideas and practices, discuss new opportunities, and investigate analytics frameworks on data-driven and knowledge base systems. This journal is follow the principles of the Committee on Publication Ethics (COPE).

Abstracting and Indexing

KEDS is indexed and/or listed in the following services:

In addition, the journal’s metadata and article DOIs are registered and distributed through services such as CrossRef, OpenAlex, Wikidata, SUDOC and other library catalogues and scholarly discovery platforms, which support wider visibility and citation tracking but do not function as traditional abstracting or indexing databases.

{ top }

Ownership and Management

KEDS is publish and manage by Universitas Negeri Malang

{ top }

Publication Schedule

KEDS publishes two series peryear of scientific articles in every 6 months (July, December)

{ top }

Language

The journal published articles in English.

{ top }

Digital Archiving

To ensure the long-term and permanent accessibility of published content, the articles are archived in CLOCKKS, ensuring long-term accessibility of its published content.

Each article is also assigned a Digital Object Identifier (DOI) from CrossRef, providing a permanent and reliable means of citation and retrieval.

{ top }

The journal does not accept adverts from third parties.

{ top }

Revenue Sources

This journal is financially supported through institutional support and author fees. We ensure that the availability of institutional funding or the payment of author fees, or even waiver status, does not influence editorial decision-making in any way. All submissions undergo a rigorous and impartial peer-review process to uphold the highest standards of academic integrity

{ top }

Direct Marketing

This journal conducts direct marketing activities in a targeted and professional manner. Occasionally, we publish Call for Papers announcements on the journal’s website and/or send them via email to relevant researchers and scholars. All information provided about the journal and publisher is accurate, truthful, and not misleading. We ensure that our outreach efforts remain appropriate and unobtrusive, respecting recipients' preferences and professional engagement.

{ top }

Target Readership

Knowledge Engineering and Data Science is intended for data scientists, researchers, government professionals, and academics who are involved in the development, application, and evaluation of data-driven and knowledge-based systems.

The journal is particularly relevant for data scientists and researchers working in data science, artificial intelligence, machine learning, computer vision, knowledge engineering, data mining, predictive analytics, intelligent systems, and related computational fields. It provides a platform for sharing theoretical developments, computational methods, experimental findings, and practical applications across diverse domains.

Government professionals, policymakers, and institutional decision-makers may benefit from research related to data-driven decision support, public-sector analytics, intelligent information systems, computer vision applications, and the use of computational methods for policy development and public services. Academics, including lecturers, graduate students, and early-career researchers, can also use the journal as a source of current knowledge, methodological references, and interdisciplinary research developments in knowledge engineering and data science.

{ top }

Cited Documents in Scopus

2024 (6/14)= 42.86%
2023 (4/14)= 77.78%
2022 (16/19)= 84.21%
2021 (14/14)= 100.00%
2020 (8/12)=66.67%
updated 13 April 2025

{ top }

Author Countries

(1) Indonesia; (2) China; (3) Nigeria; (4) United States (USA); (5) Australia; (6) Hungary; (7) Colombia; (8) Mexico; (9) Palestine; (10) Poland; (11) Malaysia; (12) Brunei; (13) Ukraine; (14) Mauritius; (15) Pakistan; (16) Ghana; (17) South Korea; (18) Japan; (19) Bangladesh; (20) Norway; (21) Saudi Arabia; (22) Netherlands; (23) India; (24) Turkey; (25) Vietnam; (26) Germany; (27) Iran; (28) Taiwan; (29) Egypt; (30) Singapore; (31) Russia.

{ top }