George Ashiagbor
Kwame Nkrumah University of Science and Technology
- Research Fellow, Kwame Nkrumah University of Science and Technology, since 2014per ORCID
- Kwame Nkrumah University of Science and Technologyper ORCID
Publishing since 2012, latest 2026
- Global and Planetary Change
- Ecology
- Forestry
- Horticulture
- Ecological Modeling
- Ecology, Evolution, Behavior and Systematics
In their own words
- GIS and Remote Sensing
- Land Use Change Monitoring
- Carbon Mapping
- Landscape Ecology
- GIS
- Remote Sensing
- Publications
- 442012–2026
- Citations
- 1,051to those papers
- h-index
- 16i10-index 21
- Field-weighted impact
- 2.421.00 is the world average
- World top 10%
- 29%11 of 38 scored papers
- Open access
- 58%22 of the 38 whose access is recorded
7 other works — preprints, datasets and the like — are listed but not counted.
Google Scholar shows 1,350 citations, h-index 18 and i10-index 23 (1,177 citations and h-index 18 since 2021), as of October 10, 2026. It also counts theses, books and web pages, so it runs higher.
By year
Papers, and the citations to them
Publications, left axisCitations to that year’s papers, right axis2026 still in progress
Positions
- Research Fellow, Wildlife and Range ManagementKwame Nkrumah University of Science and Technologysince 2014
- Kwame Nkrumah University of Science and Technology
- GIS Manager, APERL Ghana ProjectKwame Nkrumah University of Science and Technology College of Agriculture and Natural Resources2011–2014
Education
- PhD. Geomatic Engineering, Geomatic EngineeringKwame Nkrumah University of Science and Technology College of Engineering2016–2020
- MPhil. Geomatic Engineering, Department of Geomatic Engineering
Publications
44 in all
- Anthropogenic compound inputs decouple particulate and mineral-associated carbon pools in soils of a tropical urban agroecosystem
2026GeodermaJournalOpen access0 citations10.1016/j.geoderma.2026.118043
- Cellular Automata-Based Artificial Neural Network Model for Predicting Future Mining Extent
2026GIScience and geo-environmental modelling