MDPI

Analytics Template

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

About the Analytics format

Analytics is a peer-reviewed journal published by MDPI, covering Big Data and Business Intelligence, Topic Modeling, Statistical Methods and Inference. Over its lifetime it has published 174 papers, which have received 783 citations.

PublisherMDPI
Reference styleNumbered (MDPI)
Numbered — [1], [2] in the text
1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Analytics 2023, 12, 45–58.

Formats any DOI in Analytics style. No sign-up.

Publishes research inBig Data and Business Intelligence Topic Modeling Statistical Methods and Inference Natural Language Processing Techniques Data Visualization and Analytics
ISSN2813-2203
Citation impact (2-yr)3.55
h-index14
i10-index24
Open accessYes — indexed in DOAJ
Top institutions publishing hereSheffield Hallam University
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Analytics per year

27
2017
15
2022
47
2023
26
2024
40
2025

Citation impact of Analytics by publication year

6
2017
91
2022
376
2023
205
2024
71
2025

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

Most-cited papers in Analytics

An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market

Jeen Mary John, Olamilekan Shobayo, Bayode Ogunleye · 12 Oct 2023

Recently, peoples’ awareness of online purchases has significantly risen. This has given rise to online retail platforms and the need for a better understanding of customer purchasing behaviour. Retail companies are pressed with the need to deal with a high volume of customer purchases, which requires sophisticated approaches to perform more accurate and efficient customer…

An Optimal House Price Prediction Algorithm: XGBoost

Hemlata Sharma, Hitesh Harsora, Bayode Ogunleye · 2 Jan 2024

An accurate prediction of house prices is a fundamental requirement for various sectors, including real estate and mortgage lending. It is widely recognized that a property’s value is not solely determined by its physical attributes but is significantly influenced by its surrounding neighborhood. Meeting the diverse housing needs of individuals while balancing budget constraints is…

Artificial Intelligence and Sustainability—A Review

Rachit Dhiman, Sofia Miteff, Yuancheng Wang et al. · 1 Mar 2024

In recent decades, artificial intelligence has undergone transformative advancements, reshaping diverse sectors such as healthcare, transport, agriculture, energy, and the media. Despite the enthusiasm surrounding AI’s potential, concerns persist about its potential negative impacts, including substantial energy consumption and ethical challenges. This paper critically reviews the evolving landscape of AI sustainability, addressing economic, social, and…

The Use of a Large Language Model for Cyberbullying Detection

Bayode Ogunleye, Babitha Dharmaraj · 6 Sep 2023

The dominance of social media has added to the channels of bullying for perpetrators. Unfortunately, cyberbullying (CB) is the most prevalent phenomenon in today’s cyber world, and is a severe threat to the mental and physical health of citizens. This opens the need to develop a robust system to prevent bullying content from online forums,…

Prediction of Stroke Disease with Demographic and Behavioural Data Using Random Forest Algorithm

Olamilekan Shobayo, Oluwafemi Zachariah, Modupe Odusami et al. · 2 Aug 2023

Stroke is a major cause of death worldwide, resulting from a blockage in the flow of blood to different parts of the brain. Many studies have proposed a stroke disease prediction model using medical features applied to deep learning (DL) algorithms to reduce its occurrence. However, these studies pay less attention to the predictors (both…

Analytics template — frequently asked questions

How do I write a paper in the Analytics format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Analytics template. When you export, DocuGuru compiles the paper into the official MDPI format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Analytics use?
Analytics uses Numbered (MDPI) 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. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Analytics 2023, 12, 45–58.
Do I need to know LaTeX to submit to Analytics?
No. DocuGuru generates the mdpi LaTeX class and compiles the PDF for you in the background, so you get a MDPI-ready Analytics 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 Analytics template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Analytics format with correct headings, figures, tables, and numbered citations.
What is Analytics?
Analytics - MDPI Journal. It is a multidisciplinary journal, published by MDPI.
Can I export a submission-ready Analytics PDF?
Yes — DocuGuru produces a PDF built with the official Analytics template (the mdpi class) that is ready to submit to MDPI, together with the matching LaTeX source files.
How much does the Analytics template cost?
You can start writing in the Analytics template for free. Exporting the final submission-ready Analytics PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
Use the Analytics template