MDPI

Telecom Template

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

Telecom is a peer-reviewed journal published by MDPI, covering Advanced MIMO Systems Optimization, Advanced Wireless Communication Technologies, Antenna Design and Analysis. Over its lifetime it has published 380 papers, which have received 2,513 citations.

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

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

Publishes research inAdvanced MIMO Systems Optimization Advanced Wireless Communication Technologies Antenna Design and Analysis Millimeter-Wave Propagation and Modeling IoT and Edge/Fog Computing
ISSN2673-4001
Citation impact (2-yr)2.59
h-index26
i10-index72
Article processing charge$1,082
Open accessYes — indexed in DOAJ
Top institutions publishing hereAristotle University of Thessaloniki
Journal websitewww.mdpi.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Telecom per year

19
2020
32
2021
39
2022
39
2023
65
2024
99
2025

Citation impact of Telecom by publication year

246
2020
540
2021
505
2022
537
2023
325
2024
215
2025

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

Most-cited papers in Telecom

Challenges Associated with Implementing 5G in Manufacturing

Eoin O’Connell, Denis Moore, Thomas Newe · 12 Jun 2020

5G networks will change several industries, including manufacturing. 5G has the potential to become the future communication platform of choice for many industries and in particular the manufacturing sector, driving the future of Industry 4.0 and smart manufacturing. The vision of a “factory of the future” is now tangible for many industry sectors. The ability…

XGB-RF: A Hybrid Machine Learning Approach for IoT Intrusion Detection

Jabed Al Faysal, Sk Tahmid Mostafa, Sk Tahmid Mostafa et al. · 4 Jan 2022

In the past few years, Internet of Things (IoT) devices have evolved faster and the use of these devices is exceedingly increasing to make our daily activities easier than ever. However, numerous security flaws persist on IoT devices due to the fact that the majority of them lack the memory and computing resources necessary for…

Stock Market Prediction Using Microblogging Sentiment Analysis and Machine Learning

Paraskevas Koukaras, Christina Nousi, Christos Tjortjis · 27 May 2022

The use of Machine Learning (ML) and Sentiment Analysis (SA) on data from microblogging sites has become a popular method for stock market prediction. In this work, we developed a model for predicting stock movement utilizing SA on Twitter and StockTwits data. Stock movement and sentiment data were used to evaluate this approach and validate…

Designing Smart Electromagnetic Environments for Next-Generation Wireless Communications

Andrea Massa, Arianna Benoni, Pietro Da Rù et al. · 12 May 2021

The design of a smart electromagnetic (EM) environment for next-generation wireless communication systems is addressed in this work. The proposed approach aims at synthesizing a desired EM field distribution over a target region, where the receiving terminals are located, through the opportunistic exploitation of the complex scattering interactions between the EM field generated by a…

Review of Localization and Clustering in USV and AUV for Underwater Wireless Sensor Networks

Kaveripakam Sathish, Ravikumar Chinthaginjala Venkata, A. Rajesh et al. · 11 Jan 2023

Oceanographic data collection, disaster prevention, aided navigation, critical observation sub-missions, contaminant screening, and seaward scanning are just a few of the submissions that use underwater sensor hubs. Unmanned submerged vehicles (USVs) or autonomous acoustic underwater vehicles (AUVs) through sensors would similarly be able to explore unique underwater resources and gather data when utilized in conjunction…

Telecom template — frequently asked questions

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