MDPI

Metrics Template

Write in a clean editor, then format for Metrics 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 Metrics format

Metrics is a peer-reviewed journal published by MDPI, covering Leadership and Management in Organizations, scientometrics and bibliometrics research, Big Data and Business Intelligence. Over its lifetime it has published 106 papers, which have received 369 citations.

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

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

Publishes research inLeadership and Management in Organizations scientometrics and bibliometrics research Big Data and Business Intelligence Global Maternal and Child Health Research Data Management Practices
ISSN3042-5042
Citation impact (2-yr)1.56
h-index10
i10-index12
Open accessYes — indexed in DOAJ
Top institutions publishing hereUniversity of Parma
Journal websitewww.mdpi.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Metrics per year

16
2011
29
2016
16
2020
5
2024
25
2025

Citation impact of Metrics by publication year

1
2011
222
2016
72
2020
20
2024
41
2025

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

Most-cited papers in Metrics

Mapping Data-Driven Research Impact Science: The Role of Machine Learning and Artificial Intelligence

Mudassar Hassan Arsalan, Omar Mubin, Abdullah Al Mahmud et al. · 2 Apr 2025

In an era of evolving scholarly ecosystems, machine learning (ML) and artificial intelligence (AI) have become pivotal in advancing research impact analysis. Despite their transformative potential, the fragmented body of literature in this domain necessitates consolidation to provide a comprehensive understanding of their applications in multidimensional impact assessment. This study bridges this gap by employing…

Topic Modeling for Faster Literature Screening Using Transformer-Based Embeddings

Carlo Galli, Claudio Cusano, Marco Meleti et al. · 8 Oct 2024

Systematic reviews are a powerful tool to summarize the existing evidence in medical literature. However, identifying relevant articles is difficult, and this typically involves structured searches with keyword-based strategies, followed by the painstaking manual selection of relevant evidence. A.I. may help investigators, for example, through topic modeling, i.e., algorithms that can understand the content of…

Evaluating and Enhancing Museum Websites: Unlocking Insights for Accessibility, Usability, SEO, and Speed

Ioannis C. Drivas, Eftichia Vraimaki · 2 Jan 2025

The digital transformation of museums has elevated their websites from mere informational tools to dynamic platforms that foster cultural engagement, inclusivity, and preservation. This study evaluates the performance of 234 museum websites worldwide, focusing on critical dimensions such as accessibility, usability, SEO, and speed. By employing a comprehensive diagnostic framework of evaluation metrics, the research…

Bibliometric Studies as a Publication Strategy

Libor Ansorge · 21 Nov 2024

The number of bibliometric studies published in the scientific literature has been increasing in recent years. Some authors publish more bibliometric studies than others. The aim of this study is to (i) identify authors who focus on bibliometric studies and their publication strategy based on these studies, and to (ii) determine whether the focus of…

Agri-Food Sector: Contemporary Trends, Possible Gaps, and Prospective Directions

José Roberto Herrera Cantorani, Meire Ramalho de Oliveira, Luiz Alberto Pìlatti et al. · 5 Feb 2025

The agri-food sector is expanding, driven by growing global demand. At the same time, it faces the challenge of increasing its efficiency and adopting sustainable practices. This study aimed to map scientific production in this field, identifying trends, emerging themes, critical gaps, and future directions for research. A bibliometric analysis was conducted with 5141 papers…

Metrics template — frequently asked questions

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