Kwasi Preko

1.1k citations
36 papers · 766 · h-index 14

Impact in

Papers in

Kwasi Preko

32 papers receiving 743 citations

Peers

Kwasi Preko
Comparison fields: 5 of 85
  • Global and Planetary Change 332
  • Atmospheric Science 203
  • Geophysics 139
  • Water Science and Technology 142
  • Environmental Engineering 127
Replace Ambrish Kumar Mahajan with:
Ambrish Kumar Mahajan India
Mohammed Hssaisoune Morocco
Mohamed O. Arnous Egypt
Matteo Gentilucci Italy
Daniela Vanella Italy
Amai Mahesha India
Fred Murphy United States
Ankur Dixit India
Amit Kumar Singh India
Yashwant B. Katpatal India
Kwasi Preko relative to Ambrish Kumar Mahajan India Ambrish Kumar Mahajan's profile →
Citations per field
00.5×1.5×2.2×
Ambrish Kumar Mahajan · 1×
Citations per year

Countries citing papers authored by Kwasi Preko

Since Specialization
Citations

This map shows the geographic impact of Kwasi Preko'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 Kwasi Preko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwasi Preko more than expected).

Fields of papers citing papers by Kwasi Preko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwasi Preko. 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 Kwasi Preko. The network helps show where Kwasi Preko may publish in the future.

Co-authors

The 25 scholars most cited alongside Kwasi Preko, 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 Kwasi Preko Line = papers co-authored together Kwasi Preko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015126
2 201484
3 201984
4 201258
5 202046
6 201544
7 201443
8 201933
9 200729
10 202126
11 201921
12
Geological and structural interpretation of the Konongo area of the Ashanti gold belt of Ghana from aeromagnetic and radiometric data
201320
13 201917
14 201917
15 200913
16 201613
17 202013
18 202411
19 20128
20 20198

About Kwasi Preko

Kwasi Preko is a scholar working on Geophysics, Global and Planetary Change, Ocean Engineering, Artificial Intelligence and Environmental Engineering, having authored 36 papers that have together received 766 indexed citations. Recurring topics across this work include Geophysical and Geoelectrical Methods (12 papers), Geophysical Methods and Applications (10 papers), Geochemistry and Geologic Mapping (7 papers), Hydrology and Watershed Management Studies (7 papers), Climate variability and models (6 papers), Seismic Waves and Analysis (6 papers), Flood Risk Assessment and Management (5 papers) and Precipitation Measurement and Analysis (5 papers). The work is most often cited by research in Global and Planetary Change (332 citations), Atmospheric Science (203 citations), Geophysics (139 citations), Water Science and Technology (142 citations) and Environmental Engineering (127 citations). Kwasi Preko has collaborated with scholars based in Ghana, Germany and Nigeria. Frequent co-authors include Leonard K. Amekudzi, Jeffrey N. A. Aryee, David Dotse Wemegah, Edmund I. Yamba, Sylvester K. Danuor, Daniel Boamah, Samuel Nii Ardey Codjoe, Ernest O. Asare, Emmanuel Quansah and Winifred Ayinpogbilla Atiah. Their work appears in journals such as Journal of Geophysics and Engineering, Hydrological Sciences Journal, Scientific African, Free Radical Biology and Medicine and Atmosphere.

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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