Evidence map›Paper›PMID 40764812›Full record

ArticleScientific reports2025

Defected ground structure antenna array with metasurface inspired interlinked CSRR for 5G millimeter wave applications.

Esraa Mousa Ali, Mohammad Alibakhshikenari, Nouf Abd Elmunim, Bal S Virdee, Nasr Rashid, Dion Mariyanayagam, Muhammad Akmal Chaudhary, Nisar Ahmad Abbasi, Patrizia Livreri, Takfarinas Saber

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Esraa Mousa AliCommunications and Computer Engineering Department, Al-Ahliyya Amman University, Amman, 19111, Jordan.
Mohammad AlibakhshikenariLero, the Research Ireland Centre for Software, School of Computer Science, University of Galway, Galway, H91 TK33, Ireland. mohammad.alibakhshikenari@universityofgalway.ie.
Nouf Abd ElmunimDepartment of Electrical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia. naasmail@pnu.edu.sa.
Bal S VirdeeCenter for Communications Technology, School of Computing and Digital Media, London Metropolitan University, London, N7 8DB, UK.
Nasr RashidElectrical Engineering Department, College of Engineering, Jouf University, Sakaka, 72388, Aljouf, Saudi Arabia.
Dion MariyanayagamCenter for Communications Technology, School of Computing and Digital Media, London Metropolitan University, London, N7 8DB, UK.
Muhammad Akmal ChaudharyDepartment of Electrical and Computer Engineering, Ajman University, Ajman, UAE.
Nisar Ahmad AbbasiDepartment of Electrical Engineering, University of Hafr Al Batin, Hafr Al Batin, 39524, Saudi Arabia.
Patrizia LivreriDepartment of Engineering, University of Palermo, Palermo, 90128, Italy. patrizia.livreri@unipa.it.
Takfarinas SaberLero, the Research Ireland Centre for Software, School of Computer Science, University of Galway, Galway, H91 TK33, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper introduces a high-performance antenna array optimized for 5G millimeter-wave (mm-Wave) applications, efficiently operating within the 25-30 GHz frequency range. Three integrated techniques enhance performance without increasing physical size: First, a Defected Ground Structure (DGS) with a 25 × 25 mm

Indexed as

5G millimeter-wave (5G mm-wave) applicationsArray antennasComplementary split ring resonator (CSRR)Defected ground structure (DGS)High gainMetasurface (MTS)Slot loadingWideband

Identifiers

PMID40764812
PMCPMC12325575

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.