Geun‐Sik Jo

63 papers and 773 indexed citations i.

About

Geun‐Sik Jo is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Geun‐Sik Jo has authored 63 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 19 papers in Information Systems and 16 papers in Artificial Intelligence. Recurrent topics in Geun‐Sik Jo’s work include Video Analysis and Summarization (14 papers), Recommender Systems and Techniques (10 papers) and Image Retrieval and Classification Techniques (8 papers). Geun‐Sik Jo is often cited by papers focused on Video Analysis and Summarization (14 papers), Recommender Systems and Techniques (10 papers) and Image Retrieval and Classification Techniques (8 papers). Geun‐Sik Jo collaborates with scholars based in South Korea, United States and Canada. Geun‐Sik Jo's co-authors include Heung-Nam Kim, Inay Ha, Abdulmotaleb El-Saddik, Seung-Bo Park, Abdulmotaleb El Saddik, Sangmin Lee, Seokmin Han, Kyungyong Chung, Ulrich Neumann and Suya You and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Geun‐Sik Jo i

Fields of papers citing papers by Geun‐Sik Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geun‐Sik Jo. 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 Geun‐Sik Jo. The network helps show where Geun‐Sik Jo may publish in the future.

Countries citing papers authored by Geun‐Sik Jo

Since Specialization
Citations

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