Gerald Forkuor

2.6k citations
34 papers · 1.9k · 1 hit paper · h-index 20

Impact in

Papers in

Gerald Forkuor

32 papers receiving 1.9k citations

Gerald Forkuor's Hit Papers

High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models 2017 · 419 citations
4190+3+6Years since publication100200300400

Peers

Gerald Forkuor
Comparison fields: 5 of 93
  • Environmental Engineering 758
  • Global and Planetary Change 744
  • Ecology 830
  • Forestry 102
  • Soil Science 227
Replace Izaya Numata with:
Izaya Numata United States
Vincent Dubreuil France
Antônio Roberto Formaggio Brazil
Bangqian Chen China
Eduardo Eiji Maeda Finland
Abdulhakim M. Abdi Sweden
Santiago R. Verón Argentina
Paul Aplin United Kingdom
Xiaoye Tong Denmark
Marion Stellmes Germany
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Citations per field
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Izaya Numata · 1×
Citations per year

Countries citing papers authored by Gerald Forkuor

Since Specialization
Citations

This map shows the geographic impact of Gerald Forkuor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gerald Forkuor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Forkuor more than expected).

Fields of papers citing papers by Gerald Forkuor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald Forkuor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gerald Forkuor. The network helps show where Gerald Forkuor may publish in the future.

Co-authors

The 25 scholars most cited alongside Gerald Forkuor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gerald Forkuor Line = papers co-authored together Gerald Forkuor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models
Hit paper breakdown →
2017419
2 2017278
3 2014163
4 2019156
5 201187
6 201286
7 201275
8 201571
9 201568
10 201768
11 201851
12 201347
13 202043
14 201540
15 201739
16 201835
17 201733
18 202132
19 201923
20 201922

About Gerald Forkuor

Gerald Forkuor is a scholar working on Global and Planetary Change, Forestry, Ecology, Atmospheric Science and Environmental Engineering, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (12 papers), Remote Sensing in Agriculture (10 papers), African Botany and Ecology Studies (6 papers), Remote Sensing and Land Use (5 papers), Hydrology and Watershed Management Studies (4 papers), Urban Agriculture and Sustainability (3 papers), Remote-Sensing Image Classification (3 papers) and Water resources management and optimization (2 papers). The work is most often cited by research in Environmental Engineering (758 citations), Global and Planetary Change (744 citations), Ecology (830 citations), Forestry (102 citations) and Soil Science (227 citations). Gerald Forkuor has collaborated with scholars based in Burkina Faso, Germany and Ghana. Frequent co-authors include Michael A. Thiel, Jerome Ebagnerin Tondoh, Kangbéni Dimobe, Ozias Hounkpatin, Gerhard Welp, Idriss Sermé, Christopher Conrad, Jean-Bosco Benewinde Zoungrana, Olufunke Cofie and Tobias Ullmann. Their work appears in journals such as Remote Sensing, International Journal of Remote Sensing, Hydrological Sciences Journal, Scientific Reports and Water.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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