Skip to content

PeerfordResearch intelligence

Countries
Institutions
Researchers
Fields
Rankings
Compare
Commons

Search institutions, scholars, countries and publications

Countries
Institutions
Researchers
Fields
Rankings
Compare

CommonsWhere researchers talk about their work

Search institutions, scholars, countries and publications

Every figure here is counted by Peerford from the works themselves, the same way for every institution.

Browse

Countries
Institutions
Researchers
Fields
Rankings
Commons, for researchers

About

How Peerford counts
Compare institutions
Privacy
Terms of use

Contact

hello@peerford.com
https://wa.me/peerford · WhatsApp

Language

English
FrançaisFrench
PortuguêsPortuguese
العربيةArabic

Theme

SystemLightDark

Samuel Mends · Peerford

University of Ghana / Scholars

SM

Samuel Mends

University of Ghana

Publishing since 2026

Computer Networks and Communications

Their record on OpenAlex
Download CV:PDF Word
Who they write with Where their co-authors are Every publication
Is this you? Sign in to edit your profile

Publications: 12026
Citations: 1to those papers
h-index: 1i10-index 0
Field-weighted impact: 5.481.00 is the world average
World top 10%: 100%1 of 1 scored papers
Open access: 100%1 papers free to read

By year

Citations received each year

Peerford

To all their work, old papers included. Google Scholar also counts citations from theses, books and web pages, so its line runs higher.

What they work on

From the classification of each paper

Subfields

Computer Networks and Communications1100%

Physical Sciences

Topics most written on

Energy Efficient Wireless Sensor Networks1
Network Security and Intrusion Detection1
Security in Wireless Sensor Networks1

Publications

1 in all

Evaluating Machine Learning Efficacy for DoS Intrusion Detection in Wireless Sensor Networks
2026International Journal of Wireless and Microwave TechnologiesJournalOpen accessFirst author1 citation10.5815/ijwmt.2026.01.01

Where they publish

International Journal of Wireless and Microwave Technologies1

How it can be read

100% free to read

Diamond 1 · 100%Free to read and to publish

Most cited

Evaluating Machine Learning Efficacy for DoS Intrusion Detection in Wireless Sensor Networks
International Journal of Wireless and Microwave Technologies
20261 citationWorld top 10%Open access · Diamond