H. Park

10 papers and 620 indexed citations i.

About

H. Park is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, H. Park has authored 10 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Theory and Mathematics and 2 papers in Signal Processing. Recurrent topics in H. Park’s work include Matrix Theory and Algorithms (4 papers), Face and Expression Recognition (4 papers) and Spectroscopy and Chemometric Analyses (2 papers). H. Park is often cited by papers focused on Matrix Theory and Algorithms (4 papers), Face and Expression Recognition (4 papers) and Spectroscopy and Chemometric Analyses (2 papers). H. Park collaborates with scholars based in United States, South Korea and Sweden. H. Park's co-authors include Peg Howland, Ravi Janardan, Jieping Ye, Franklin T. Luk, J. B. Rosen, Jeong Mi Park, Joohwan Chun, Moongu Jeon and Lars Eldén and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Computers and Protein Engineering Design and Selection.

In The Last Decade

Co-authorship network of co-authors of H. Park i

Fields of papers citing papers by H. Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by H. Park

Since Specialization
Citations

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