Seungmin Rho

288 papers and 6.1k indexed citations i.

About

Seungmin Rho is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Seungmin Rho has authored 288 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Computer Vision and Pattern Recognition, 84 papers in Artificial Intelligence and 65 papers in Computer Networks and Communications. Recurrent topics in Seungmin Rho’s work include Energy Load and Power Forecasting (27 papers), Video Surveillance and Tracking Methods (25 papers) and Anomaly Detection Techniques and Applications (22 papers). Seungmin Rho is often cited by papers focused on Energy Load and Power Forecasting (27 papers), Video Surveillance and Tracking Methods (25 papers) and Anomaly Detection Techniques and Applications (22 papers). Seungmin Rho collaborates with scholars based in South Korea, Pakistan and China. Seungmin Rho's co-authors include Sung Wook Baik, Anand Paul, Irfan Mehmood, Awais Ahmad, Eenjun Hwang, Khan Muhammad, M. Mazhar Rathore, Feng Jiang, Jamil Ahmad and Jihoon Moon and has published in prestigious journals such as PLoS ONE, IEEE Communications Magazine and Sensors.

In The Last Decade

Co-authorship network of co-authors of Seungmin Rho i

Fields of papers citing papers by Seungmin Rho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seungmin Rho

Since Specialization
Citations

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