Elsevier

Data Science and Management Template

Write in a clean editor, then format for Data Science and Management in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Data Science and Management format

Data Science and Management is a peer-reviewed journal published by Elsevier, covering Digital Marketing and Social Media, Big Data and Business Intelligence, Anomaly Detection Techniques and Applications.

PublisherElsevier
Reference styleNumbered (Elsevier)
Numbered — [1], [2] in the text
[1] A. Smith, B. Jones, C. Lee, A representative article title, Data Science and Management 12 (2023) 45–58.

Formats any DOI in Data Science and Management style. No sign-up.

Publishes research inDigital Marketing and Social Media Big Data and Business Intelligence Anomaly Detection Techniques and Applications Technology Adoption and User Behaviour Network Security and Intrusion Detection
ISSN2666-7649
Citation impact (2-yr)7.96
h-index34
i10-index88
Total citations3,850
Open accessYes
Top institutions publishing hereXi'an Jiaotong University
Journal websitewww.sciencedirect.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Data Science and Management per year

24
2021
25
2022
35
2023
48
2024
42
2025

Citation impact of Data Science and Management by publication year

1.2K
2021
830
2022
977
2023
544
2024
229
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Data Science and Management

Machine learning-based approach: global trends, research directions, and regulatory standpoints

Raffaele Pugliese, Stefano Regondi, Riccardo Marini · 1 Dec 2021

The field of machine learning (ML) is sufficiently young that it is still expanding at an accelerating pace, lying at the crossroads of computer science and statistics, and at the core of artificial intelligence (AI) and data science. Recent progress in ML has been driven both by the development of new learning algorithms theory, and…

Effects of information quality on information adoption on social media review platforms: moderating role of perceived risk

Guoyin Jiang, Liu Fen, Wenping Liu et al. · 23 Feb 2021

With the integration of social media and e-commerce, social media review platforms provide consumers with a place to share information and create electronic word of mouth (e-WOM). Information from e-WOM plays an important role in consumers’ decision-making process. However, the information adoption process of users of social media review platforms remains unclear. Thus, this study…

New developments in wind energy forecasting with artificial intelligence and big data: a scientometric insight

Erlong Zhao, Shaolong Sun, Shouyang Wang · 1 Jun 2022

Accurate forecasting results are crucial for increasing energy efficiency and lowering energy consumption in wind energy. Big data and artificial intelligence (AI) have great potential in wind energy forecasting. Although the literature on this subject is extensive, it lacks a comprehensive research status survey. In identifying the evolution rules of big data and AI methods…

Hotspots and trends of environmental, social and governance (ESG) research: a bibliometric analysis

Guochao Wan, Ahmad Yahya Dawod, Somsak Chanaim et al. · 15 Mar 2023

This study examines paper-level metrics in the literature on topics related to environmental, social and governance (ESG) to provide a research agenda for hotspots and trends. Based on 755 papers on ESG in the Web of Science Core Collection database from 2004 to 2021, we use VOSviewer and CiteSpace to present a bibliometric review of…

The impact of consumer perceived value on repeat purchase intention based on online reviews: by the method of text mining

Ning Zhang, Rong Liu, Xiaoyang Zhang et al. · 1 Sep 2021

The progress of IT technology such as social network and mobile payment and the change of social economic environment promote the emergence of sharing economy. As a subversive business model, the sharing economy is growing at an alarming rate all over the world. However, the influencing factors of consumers' continuous participation in the sharing economy…

Data Science and Management template — frequently asked questions

How do I write a paper in the Data Science and Management format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Data Science and Management template. When you export, DocuGuru compiles the paper into the official Elsevier format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Data Science and Management use?
Data Science and Management uses Numbered (Elsevier) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] A. Smith, B. Jones, C. Lee, A representative article title, Data Science and Management 12 (2023) 45–58.
Do I need to know LaTeX to submit to Data Science and Management?
No. DocuGuru generates the elsarticle LaTeX class and compiles the PDF for you in the background, so you get a Elsevier-ready Data Science and Management document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Data Science and Management template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Data Science and Management format with correct headings, figures, tables, and numbered citations.
Who publishes Data Science and Management?
Data Science and Management is a multidisciplinary journal published by Elsevier. DocuGuru's Data Science and Management template matches Elsevier's official submission format.
Can I export a submission-ready Data Science and Management PDF?
Yes — DocuGuru produces a PDF built with the official Data Science and Management template (the elsarticle class) that is ready to submit to Elsevier, together with the matching LaTeX source files.
How much does the Data Science and Management template cost?
You can start writing in the Data Science and Management template for free. Exporting the final submission-ready Data Science and Management PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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