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Christopher Atta Amponsah · Peerford

Kwame Nkrumah University of Science and Technology / Scholars

CA

Christopher Atta Amponsah

Kwame Nkrumah University of Science and Technology

University of South Florida, since 2024per ORCID

Publishing since 2026

Artificial Intelligence
Ecology
Media Technology

ORCID 0009-0009-2702-3150
Their record on OpenAlex
Download CV:PDF Word
Who they write with Where their co-authors are Every publication
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Publications: 12026
Citations: 0to those papers
h-index: 0i10-index 0
Field-weighted impact: 0.001.00 is the world average
World top 10%: 0%0 of 1 scored papers
Open access: 100%1 papers free to read

2 other works — preprints, datasets and the like — are listed but not counted.

What they work on

From the classification of each paper

Subfields

Artificial Intelligence1100%
Ecology1100%
Media Technology1100%

Physical Sciences

Topics most written on

Machine Learning and Data Classification1
Remote Sensing in Agriculture1
Remote-Sensing Image Classification1

Career

As their ORCID record read on October 4, 2026

Positions

School of GeosciencesUniversity of South Floridasince 2024
Teaching/Research Assistant, Department of Geomatic EngineeringKwame Nkrumah University of Science and Technology2022–2024

Education

PhD Geography, Environmental Science, & Policy, School of GeosciencesUniversity of South Floridasince 2026
Master's in Geography (GIS & Spatial Analysis), School of GeosciencesUniversity of South Florida2024–2026
BSc. Geomatics Engineering, Department of Geomatic Engineering

Publications

1 in all

Performance comparison of machine learning algorithms for land cover classification
2026Geo-spatial Information ScienceJournalOpen accessFirst authorCorresponding0 citations10.1080/10095020.2026.2667719

Where their co-authors are

100% of their papers have a co-author abroad

papers co-written1111111Home

Most frequent partner countries

Germany1
United States1

Papers with at least one author in that country.

Institutions written with most

Mississippi State UniversityUS1 paper
University of MaineUS1 paper
University of MünsterDE1 paper
University of South FloridaUS1 paper
Kwame Nkrumah UniversityZM1 paper

Where they publish

Geo-spatial Information Science1

How it can be read

100% free to read

Gold 1 · 100%In an open-access journal

Development goals addressed

From each paper’s title and abstract

13Climate action1

Most cited

Performance comparison of machine learning algorithms for land cover classification
Geo-spatial Information Science13
20260 citationsOpen access · Gold

Kwame Nkrumah University of Science and Technology

2018–2022