Sang‐Mo Koh

66 papers and 559 indexed citations i.

About

Sang‐Mo Koh is a scholar working on Artificial Intelligence, Geophysics and Geochemistry and Petrology. According to data from OpenAlex, Sang‐Mo Koh has authored 66 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 31 papers in Geophysics and 15 papers in Geochemistry and Petrology. Recurrent topics in Sang‐Mo Koh’s work include Geochemistry and Geologic Mapping (38 papers), Geological and Geochemical Analysis (28 papers) and Geochemistry and Elemental Analysis (8 papers). Sang‐Mo Koh is often cited by papers focused on Geochemistry and Geologic Mapping (38 papers), Geological and Geochemical Analysis (28 papers) and Geochemistry and Elemental Analysis (8 papers). Sang‐Mo Koh collaborates with scholars based in South Korea, United States and Japan. Sang‐Mo Koh's co-authors include J. B. Dixon, Jaehyung Yu, Tetsuichi Takagi, Lei Wang, D. D. Focht, Namhoon Kim, Michael V. McCullar, Min‐Kyu Song, Byung-Uck Chang and Ji-Eun Kim and has published in prestigious journals such as Applied and Environmental Microbiology, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Sang‐Mo Koh i

Fields of papers citing papers by Sang‐Mo Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Mo Koh. 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 Sang‐Mo Koh. The network helps show where Sang‐Mo Koh may publish in the future.

Countries citing papers authored by Sang‐Mo Koh

Since Specialization
Citations

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

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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2025