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…
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.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (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 in | Digital Marketing and Social Media Big Data and Business Intelligence Anomaly Detection Techniques and Applications Technology Adoption and User Behaviour Network Security and Intrusion Detection |
| ISSN | 2666-7649 |
| Citation impact (2-yr) | 7.96 |
| h-index | 34 |
| i10-index | 88 |
| Total citations | 3,850 |
| Open access | Yes |
| Top institutions publishing here | Xi'an Jiaotong University |
| Journal website | www.sciencedirect.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Data Science and Management per year
Citation impact of Data Science and Management by publication year
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
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…
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…
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 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…