Eunmi Oh

36 papers and 446 indexed citations i.

About

Eunmi Oh is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Eunmi Oh has authored 36 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 15 papers in Computer Vision and Pattern Recognition and 7 papers in Cognitive Neuroscience. Recurrent topics in Eunmi Oh’s work include Speech and Audio Processing (13 papers), Advanced Data Compression Techniques (8 papers) and Music and Audio Processing (8 papers). Eunmi Oh is often cited by papers focused on Speech and Audio Processing (13 papers), Advanced Data Compression Techniques (8 papers) and Music and Audio Processing (8 papers). Eunmi Oh collaborates with scholars based in South Korea, United States and United Kingdom. Eunmi Oh's co-authors include Mi‐Young Kim, Sung-Phil Kim, Min‐Ki Kim, David Hyunchul Shim, Sangwoo Moon, Robert A. Lutfi, Doris J. Kistler, Frederic L. Wightman, Michael R. Callahan and Björn W. Schuller and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Access and IEEE Signal Processing Letters.

In The Last Decade

Co-authorship network of co-authors of Eunmi Oh i

Fields of papers citing papers by Eunmi Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eunmi Oh

Since Specialization
Citations

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