Cheo Emmanuel Suh

160 total papers · 2.9k total citations
133 papers, 2.2k citations indexed

About

Cheo Emmanuel Suh is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Cheo Emmanuel Suh has authored 133 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Geophysics, 80 papers in Artificial Intelligence and 43 papers in Geochemistry and Petrology. Recurrent topics in Cheo Emmanuel Suh's work include Geological and Geochemical Analysis (81 papers), Geochemistry and Geologic Mapping (80 papers) and Geochemistry and Elemental Analysis (38 papers). Cheo Emmanuel Suh is often cited by papers focused on Geological and Geochemical Analysis (81 papers), Geochemistry and Geologic Mapping (80 papers) and Geochemistry and Elemental Analysis (38 papers). Cheo Emmanuel Suh collaborates with scholars based in Cameroon, Nigeria and Botswana. Cheo Emmanuel Suh's co-authors include Samuel N. Ayonghe, Bernd Lehmann, Elisha Shemang, R. S. J. Sparks, J. Godfrey Fitton, Gérald Ernst, Matthieu Kervyn, Catherine Annen, Adrian Luckman and P. Jacobs and has published in prestigious journals such as Geoderma, International Journal of Remote Sensing and Precambrian Research.

In The Last Decade

Cheo Emmanuel Suh

125 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Cheo Emmanuel Suh 1.2k 1.1k 651 284 245 133 2.2k
Bohdan Křı́bek 460 0.4× 577 0.5× 675 1.0× 1.2k 4.2× 66 0.3× 101 2.8k
D. Chandrasekharam 876 0.7× 405 0.4× 670 1.0× 492 1.7× 86 0.4× 105 2.7k
William F. Cannon 1.6k 1.3× 811 0.7× 576 0.9× 520 1.8× 24 0.1× 100 3.0k
Ricardo Oyarzún 519 0.4× 256 0.2× 418 0.6× 561 2.0× 108 0.4× 96 2.4k
Adolpho José Melfi 1.2k 1.0× 780 0.7× 620 1.0× 302 1.1× 43 0.2× 157 3.3k
Marco Petitta 794 0.6× 261 0.2× 1.0k 1.6× 143 0.5× 192 0.8× 126 2.6k
Shuhab D. Khan 735 0.6× 687 0.6× 143 0.2× 41 0.1× 129 0.5× 120 2.0k
Benjamin Mapani 519 0.4× 382 0.3× 247 0.4× 450 1.6× 42 0.2× 80 1.5k
Younes Hamed 771 0.6× 359 0.3× 1.3k 1.9× 194 0.7× 326 1.3× 124 2.8k
Samuel B. Dampare 447 0.4× 901 0.8× 839 1.3× 1.4k 5.0× 88 0.4× 66 2.8k

Countries citing papers authored by Cheo Emmanuel Suh

Since Specialization
Citations

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

Fields of papers citing papers by Cheo Emmanuel Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheo Emmanuel Suh. 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 Cheo Emmanuel Suh. The network helps show where Cheo Emmanuel Suh may publish in the future.

Co-authorship network of co-authors of Cheo Emmanuel Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Cheo Emmanuel Suh. A scholar is included among the top collaborators of Cheo Emmanuel Suh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cheo Emmanuel Suh. Cheo Emmanuel Suh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026