In-Mook Choi

48 papers and 249 indexed citations i.

About

In-Mook Choi is a scholar working on Statistics, Probability and Uncertainty, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, In-Mook Choi has authored 48 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics, Probability and Uncertainty, 16 papers in Biomedical Engineering and 14 papers in Mechanical Engineering. Recurrent topics in In-Mook Choi’s work include Scientific Measurement and Uncertainty Evaluation (21 papers), Advanced Sensor Technologies Research (12 papers) and Sensor Technology and Measurement Systems (10 papers). In-Mook Choi is often cited by papers focused on Scientific Measurement and Uncertainty Evaluation (21 papers), Advanced Sensor Technologies Research (12 papers) and Sensor Technology and Measurement Systems (10 papers). In-Mook Choi collaborates with scholars based in South Korea, Indonesia and China. In-Mook Choi's co-authors include Inseok Yang, Soo Hyun Kim, P. C. B. Phillips, Peter Z. Schochet, Tae‐Heon Yang, Sang Soo Kim, Sung Mok Kim, Sungjun Lee, Yong-Kyu Kim and Donyoung Kang and has published in prestigious journals such as Applied Physics Letters, Japanese Journal of Applied Physics and Review of Scientific Instruments.

In The Last Decade

Co-authorship network of co-authors of In-Mook Choi i

Fields of papers citing papers by In-Mook Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In-Mook Choi. 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 In-Mook Choi. The network helps show where In-Mook Choi may publish in the future.

Countries citing papers authored by In-Mook Choi

Since Specialization
Citations

This map shows the geographic impact of In-Mook Choi'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 In-Mook Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In-Mook Choi 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025