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N. L Onyejegbu · Peerford

University of Port Harcourt / Scholars

NO

N. L Onyejegbu

University of Port Harcourt

Publishing since 2010, latest 2013

Artificial Intelligence
Health Information Management
Information Systems

Their record on OpenAlex
Download CV:PDF Word
Who they write with Where their co-authors are Every publication
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Publications: 32010–2013
Citations: 12to those papers
h-index: 1i10-index 1
Field-weighted impact: 1.851.00 is the world average
World top 10%: 33%1 of 3 scored papers
Open access: 0%0 papers free to read

By year

Papers, and the citations to them

Publications, left axisCitations to that year’s papers, right axis2026 still in progress

Publications

3 in all

Newest Most cited Oldest Title

Search their publications by title

The Application of Machine Learning Technique for Malaria Diagnosis
2013IGI Global eBooksBook chapter0 citations10.4018/978-1-4666-2646-1.ch019
The Application of Machine Learning Technique for Malaria Diagnosis
2011Machine LearningBook chapter1 citation

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

Artificial Intelligence3100%
Health Information Management3100%
Information Systems3100%

Health Sciences
Physical Sciences

Topics most written on

Artificial Intelligence in Healthcare3
Data Mining Algorithms and Applications3
Imbalanced Data Classification Techniques3

Who they write with

Their most frequent co-authors, and the papers those co-authors share

Where their co-authors are

0% of their papers have a co-author abroad

Most frequent partner countries

Papers with at least one author in that country.

Institutions written with most

Lagos State UniversityNG3 papers

Where they publish

IGI Global eBooks1
International Journal of Green Computing1
Machine Learning1

How it can be read

0% free to read

Closed 3 · 100%Behind a paywall

Development goals addressed

From each paper’s title and abstract

1No poverty3

Most cited

The Application of Machine Learning Technique for Malaria Diagnosis
International Journal of Green Computing1
201011 citationsWorld top 10%
The Application of Machine Learning Technique for Malaria Diagnosis
Machine Learning1
20111 citation
The Application of Machine Learning Technique for Malaria Diagnosis
IGI Global eBooks

10.4018/978-1-60960-818-7.ch810

The Application of Machine Learning Technique for Malaria Diagnosis

2010International Journal of Green ComputingJournal11 citations10.4018/jgc.2010010107

1

20130 citations