Data Science and Management Impact Factor, Indexing, Ranking

Data Science and Management (DSM) is a scholarly journal dedicated to publishing research in the field of Decision Sciences. KeAi Communications Co is the publisher of this esteemed journal. and its abbreviated form is Data Sci Manag.

Data Science and Management (DSM) is a peer-reviewed open access journal for original research articles, review articles and technical reports related to all aspects of data science and its application in the field of business, engineering, social management, etc. DSM was launched in 2021, and published quarterly by Xi'an Jiaotong University.

Data Science and Management 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 Data Science and Management Journal is Data Sci Manag.

The Ranking of Data Science and Management in 2026 is 8536. Ranking systems aim to provide an indication of a journal's quality, influence, and prestige within a specific field or discipline.

The Impact Factor of Data Science and Management in 2026 is 4.61. 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 SCImago of Data Science and Management in 2026 is 0.603. 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 H-Index of Data Science and Management in 2026 is 7. 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 Quartile of Data Science and Management is Q2. 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 Data Science and Management is indexed in (Indexing details)

• 1. UGC
• 2. Scopus
• 3. Google Scholar
• 4. DOAJ

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 Data Science and Management is Zongben Xu

Data Science and Management Call for paper : Data Science and Management invites original research contributions for consideration of publication in Data Science and Management journal.

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

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 Data Science and Management involves the following steps:

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

• Journal Website
• Scopus
• SCImago