Gia Kim

2 papers and 609 indexed citations i.

About

Gia Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Gia Kim has authored 2 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Human-Computer Interaction. Recurrent topics in Gia Kim’s work include Innovative Human-Technology Interaction (1 paper), Advanced Text Analysis Techniques (1 paper) and Data Visualization and Analytics (1 paper). Gia Kim is often cited by papers focused on Innovative Human-Technology Interaction (1 paper), Advanced Text Analysis Techniques (1 paper) and Data Visualization and Analytics (1 paper). Gia Kim collaborates with scholars based in Australia. Gia Kim's co-authors include Lewis J. Fetters, Edwin L. Thomas, Damian A. Hajduk, Sol M. Grüner, Paul E. Harper and Christian C. Honeker and has published in prestigious journals such as Macromolecules and ResearchOnline at James Cook University (James Cook University).

In The Last Decade

Co-authorship network of co-authors of Gia Kim i

Fields of papers citing papers by Gia Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gia Kim

Since Specialization
Citations

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