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Faculté d’Agronomie, Université Parakou, Benin · Peerford

Kwame Nkrumah University of Science and Technology / Scholars

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Faculté d’Agronomie, Université Parakou, Benin

Kwame Nkrumah University of Science and Technology

Publishing since 2019

Forestry
Global and Planetary Change

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Who they write with Where their co-authors are Every publication
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Publications: 12019
Citations: 26to those papers
h-index: 1i10-index 1
Field-weighted impact: 0.881.00 is the world average
World top 10%: 0%0 of 1 scored papers
Open access: 100%1 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

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

Publications

1 in all

Predictive Land Use Change under Business-As-Usual and Afforestation Scenarios in the Vea Catchment, West Africa
2019International Journal of Advanced Remote Sensing and GISJournalOpen access26 citations10.23953/cloud.ijarsg.416

Subfields

Forestry1100%
Global and Planetary Change1100%

Life Sciences
Physical Sciences

Topics most written on

African Botany and Ecology Studies1
Conservation, Biodiversity, and Resource Management1
Land Use and Ecosystem Services1

Where their co-authors are

100% of their papers have a co-author abroad

papers co-written1111111Home

Most frequent partner countries

Benin1

Papers with at least one author in that country.

Institutions written with most

West African Science Service Centre on Climate Change and Adapted Land UseGH1 paper
Université de ParakouBJ1 paper
Université d'Abomey-CalaviBJ1 paper

Where they publish

International Journal of Advanced Remote Sensing and GIS1

How it can be read

100% free to read

Diamond 1 · 100%Free to read and to publish

Development goals addressed

From each paper’s title and abstract

15Life on land1

Most cited

Predictive Land Use Change under Business-As-Usual and Afforestation Scenarios in the Vea Catchment, West Africa
International Journal of Advanced Remote Sensing and GIS15
201926 citationsOpen access · Diamond